All systems

Multi-agent orchestration framework — 'agencies' of agents with defined communication flows; v1.x is rebuilt on the OpenAI Agents SDK (originally built on the Assistants API).

Google-led open protocol for agent-to-agent collaboration (announced 2025-04-09) — agent cards, RPCs, server-sent events. Launched with 50+ technology partners including Atlassian, MongoDB, Salesfo…

Cisco + LangChain-led 'Internet of Agents' collective — open standards for discovery, messaging, observability of agent networks.

Authorization + tool platform for AI agents — managed OAuth so agents act on user accounts, an MCP server framework (arcade-mcp) and MCP gateway with thousands of pre-built tools.

Originally Microsoft Research's multi-agent framework — fork branded AG2 (2024-10) led by community. Memory is one optional component (AutoGen Memory cross-listed).

The first viral autonomous agent demo (March 2023) — GPT-4 + memory + tool use + self-direction. Significant Gravitas raised $12M to commercialise the AutoGPT Platform.

Yohei Nakajima's iconic spring-2023 task-list agent loop (original now in babyagi_archive); the repo now hosts an experimental self-building 'functionz' function framework.

Framework for production-ready AI agents in Python and TypeScript (Linux Foundation / IBM BeeAI).

State-machine framework for agents — state + actions + transitions; lightweight alternative to LangGraph. Created by DAGWorks and donated to the Apache Software Foundation, where it is now Apache B…

Open-source multi-agent framework for role-playing agent societies, data generation and agent scaling research.

Anthropic's SDK for building agents on the Claude Code agent loop (tools, sub-agents, MCP); published to PyPI as claude-agent-sdk.

Open-source autonomous coding agent shipped as a VS Code/JetBrains extension, CLI (headless for CI) and Node SDK (@cline/sdk) — file edits, terminal, browser, MCP tools.

Authentication and tool-execution platform for AI agents — 100+ apps with OAuth handled, function-call schemas, observability.

Multi-agent framework — Crews (sequential) + Flows (event-driven). Open-source core + CrewAI Enterprise. Memory available via Mem0 / Letta adapters (CrewAI Memory cross-listed).

Open-source platform to build agentic workflows and RAG pipelines in a visual, collaborative workspace; self-hosted or Dify Cloud.

Stanford's framework for programming, not prompting, language models: declarative modules and optimizers for prompts and weights.

ai16z's TypeScript agent framework popularised in the crypto/Web3 agent space — multi-platform (Discord, X, Telegram). Brand evolved into elizaOS.

Google Firebase's open-source framework for building AI-powered applications, with libraries for Node.js and Go (Go in alpha).

Google's code-first Python toolkit for building, evaluating and deploying AI agents.

One of the original 'agent writes a whole codebase from a prompt' CLI experiments; precursor to the commercial Lovable (lovable.dev / gptengineer.app). Repository archived (read-only) on 2026-04-22.

deepset's open-source framework for LLM/RAG/agent apps — Pipelines abstraction; deepset Cloud commercial. Memory is a downstream connector.

Event-driven durable workflow platform — competes with Temporal for the JS/TS/Python crowd. Inngest AgentKit (memory cross-listed) is the agent extension.

Dominant Python/JS framework for LLM apps — tool calling, agents, retrievers, runnables. Memory is one component (LangMem cross-listed); the framework itself is the product.

Visual low-code tool for building and deploying AI agents and workflows, with a Python runtime and API/MCP serving.

LangChain's stateful graph runtime for agents — explicit state, persistence, time-travel debugging, human-in-the-loop. Memory is one persistence target (LangGraph Persistence cross-listed).

Data framework for LLM apps — connectors, indices, query engines, agents, workflows. Memory is one of many subsystems (LlamaIndex Memory cross-listed).

Microsoft Research's generalist multi-agent system — Orchestrator + WebSurfer/FileSurfer/Coder/ComputerTerminal specialists. Built on AutoGen v0.4.

Prefect's Python framework for structured outputs (cast, classify, extract, generate) and agentic workflows (tasks, agents, threads). Marvin 3.0 merged in ControlFlow's agentic engine, superseding …

TypeScript-first agent framework — Workflows, Agents, RAG, eval. Built by the Gatsby team. YC W25.

Official collection of reference Model Context Protocol servers maintained by the MCP project — currently Everything, Fetch, Filesystem, Git, Memory, Sequential Thinking and Time; earlier servers s…

Microsoft's framework for building, orchestrating and deploying AI agents and multi-agent workflows in Python and.NET; the successor to Semantic Kernel and AutoGen.

Microsoft's enterprise-focused agent framework — multi-language (C#, Python, Java); Plugins / Planners / Memory; integrates with Azure AI / Foundry. Its README now names Microsoft Agent Framework a…

Anthropic-introduced open protocol (Nov 2024) for connecting LLMs to data sources and tools. Donated by Anthropic to the Linux Foundation's Agentic AI Foundation (announced 2025-12-09); now governe…

Open-source workflow automation platform with first-class AI Agent / LangChain / Memory / Tool nodes — fastest-growing workflow tool in the AI era.

OpenAI's official Python framework for agents — handoffs, guardrails, tracing built in. Successor to OpenAI Swarm (experimental); officially supported.

OpenAI Swarm — experimental educational multi-agent framework released Oct 2024; deprecated in favour of the OpenAI Agents SDK in Mar 2025.

Multi-modal agent framework (renamed from Phidata to Agno in 2025) — agents, memory, knowledge, tools; emphasis on multi-modal pipelines.

Pydantic team's agent framework — type-safe agent definitions, structured outputs, tool calls validated by Pydantic schemas.

Durable-execution platform from ex-Confluent / Flink team — Restate Cloud + OSS server; emphasises low-latency invocation vs Temporal's polling.

Hugging Face's minimal agent library — emphasises code-execution agents (agent writes Python, runs it) over JSON tool-calling. Library is intentionally ~1k LOC.

AWS-released open-source agent SDK, announced 2025-05-16; model-driven approach in which the model plans next steps and tool use. AWS teams including Amazon Q Developer, AWS Glue and VPC Reachabili…

Durable-execution platform — Workflows-as-code with crash safety. Used as agent-orchestration backbone at Stripe, Snap, Coinbase, OpenAI Stargate.

Open-source JS/TS background-jobs platform — long-running, retries, observability. Trigger.dev v3 (2024) added 'tasks' abstraction for agent workflows.

Vercel's TypeScript LLM SDK — streaming, tool calls, structured outputs, agents. Dominant framework for Next.js LLM apps.

Auth0's identity layer for AI agents, covering user authentication, calling first- and third-party APIs on a user's behalf through delegated authorization, asynchronous human-in-the-loop approval (…

Identity provider for AI agents and MCP servers that adds auth, consent, SSO, access control and policy to AI systems. It also manages purpose-built agent credentials for downstream connections and…

Runtime auth for agents that gives each agent its own identity and issues just-in-time, scoped credentials after verifying the workload, the user it acts for, and policy.

Production MCP connectors that link AI agents to thousands of enterprise tools, with guided user authentication, data-access controls and observability built in.

Code-first integration platform that connects products and AI agents to 1,000+ APIs. It handles end-user OAuth, MCP and tools, syncs, webhooks and a request proxy.

Okta-backed protocol for secure agent-to-app and app-to-app access, letting enterprise IT admins manage and audit which agents connect to which applications instead of relying on shared credentials…

One API and MCP server that gives an AI agent product 1,000+ integration actions, with Paragon's embedded UI handling end users' authentication to their external apps.

Integration layer for AI agents with managed per-user auth and 10,000+ prebuilt tools across 3,000+ APIs. It is exposed through a remote MCP server, an SDK or a raw API proxy.

Turns an app into an OAuth 2.0/OIDC identity provider so AI agents and MCP clients can be authorized against it. It handles token issuance, validation and revocation with user-controlled, token-bas…

WorkOS AuthKit acts as an OAuth 2.1 authorization server for MCP servers, giving AI agents scoped access to an app with PKCE, scopes and tool permissions. WorkOS Connect can provide only the MCP OA…

OSS terminal coding agent by Paul Gauthier — one of the original AI-pair-programmer CLIs (2023). Architect/Editor modes; repo-map for context; uses any LiteLLM-compatible model. Memory via CONVENTI…

Amazon's developer-focused agent — formerly CodeWhisperer (renamed 2024-Q4). Available as IDE plugins (VS Code, JetBrains, Visual Studio, Eclipse), in AWS Console, and CLI. Strong AWS-tooling integ…

AWS Bedrock AgentCore — managed runtime to deploy + scale + observe agents. Multi-component: Runtime, Identity, Memory, Gateway, Browser, Code Interpreter, Observability. Distinct from Bedrock Agen…

Cross-listing of Bolt.new at the harness layer. StackBlitz's WebContainer technology runs full Node.js in-browser; Bolt prompts the user for an app spec, then writes/edits/runs/deploys it entirely …

Charm Bracelet's terminal-native AI coding assistant — built in Go atop the Bubble Tea TUI framework. Multi-model via Glamour/Mods integration. Open-sourced 2025; positioned as a TUI-native alterna…

OpenAI's cloud-hosted, asynchronous coding agent surfaced inside ChatGPT — distinct from Codex CLI (terminal) and from the deprecated 2021 Codex API. Released 2025-05. Reads + writes from sandboxed…

Anthropic's agentic coding tool: Claude as a coding agent in the terminal, IDEs (VS Code, JetBrains), desktop app, web/mobile, GitHub and Slack. Context via CLAUDE.md, skills, hooks, subagents and …

OSS VS Code extension that runs as a fully agentic coding assistant — plan/act modes, file ops, shell exec, browser-use, MCP. Originally "Claude Dev" (2024); rebranded Cline 2024-Q4. Multi-model: A…

Cross-listing of Cognition's Devin product framed at the harness level rather than the memory layer. Devin 2.0 (Mar 2025) added cheaper concurrent sessions; Spec Mode (Aug 2025, post-Windsurf-IP ac…

OSS in-IDE coding-assistant plugin — supports VS Code and JetBrains. Customisable: any model, any context provider, any slash-command. "Agent mode" added 2024 for multi-step plan + execute. Memory …

AI-first IDE that forked VS Code; Composer (multi-file edit) and Agent Mode (long-running coding agent) are its flagship surfaces. Memory layer = .cursorrules / Rules; recall via repo-aware Context…

The original AI coding assistant (Copilot in editor; 2021). 2025 evolved into a full agentic surface: chat, completions, Agent Mode (multi-step), and Copilot Workspace. Backed by Microsoft. Distinc…

GitHub's hosted agentic workspace — given an issue, generates a spec, plan, and PR. Preview launched April 2024; rebranded "GitHub Copilot Coding Agent" + "Copilot Agent Mode" in 2025 with broader …

Block (Square)'s open-source on-machine agent — terminal + desktop GUI. Modular: extensions for shell, computer-control, MCP servers; multi-model via LiteLLM. Released 2024; positioned as a general…

JetBrains' in-IDE assistant integrated across IntelliJ, PyCharm, GoLand, WebStorm, Rider, etc. Multi-model: OpenAI, Anthropic, Google, local. Differentiated by its deep IDE-API integration — refact…

JetBrains' answer to Cursor Agent Mode / Devin — an autonomous in-IDE coding agent. Public beta 2024-Q4; runs alongside AI Assistant inside IntelliJ-platform IDEs. Plans, edits, runs tests; multi-m…

Spec-driven agentic IDE from AWS — preview launch July 2025. Codifies the AI-coding workflow as Requirements / Design / Tasks files generated before code ("specs"); also persists "steering" files a…

Cross-listing of Lovable at the harness layer. Swedish startup (Stockholm) that grew out of GPT Engineer (Anton Osika). Builds full-stack React/Supabase apps from prompts; AI handles git, deploys, …

AI-coding startup focused on extremely long-context models (claimed 100M tokens) and a frontier coding agent. Raised $320M Series B from Eric Schmidt, CapitalG, Atlassian Aug 2024. Lower public-pro…

Chinese-origin general-purpose autonomous agent launched March 2025 by Butterfly Effect. Operates in a cloud sandbox — browser, file system, shell. Went viral on launch with invite-only access; pos…

Cross-listing of MetaGPT as a harness. Multi-agent OSS framework that simulates a software company — PM, architect, engineer, QA. Generates docs + code + tests from a one-line prompt. Distinct from…

OpenAI's actively developed OSS terminal coding agent (Apr 2025), now written in Rust (codex-rs replaced the original TS CLI); also IDE extension + desktop app. Separate from the Codex Web cloud ag…

SST team's open-source terminal coding agent — TypeScript, multi-model, MCP-native. Released 2025; explicitly positioned as a permissively-licensed Claude Code alternative. Memory via AGENTS.md (th…

Cross-listing of OpenHands at the harness layer. OSS Devin-alternative — sandboxed full SWE agent with browser + shell + editor. Renamed from OpenDevin Mar 2024. Commercial offering: All Hands AI c…

Cross-listing of Replit Agent at the harness layer. Replit Agent v3 (2025) added background agents + agent-driven deploy. The Coding-agent-memory row remains canonical for the memory framing.

Discontinued OSS VS Code agentic extension — Cline fork with custom modes (Architect, Code, Ask, Debug) and .roorules/Memory Bank. Shut down 2026-05-15; repo archived.

Early (2023) OSS coding agent by Swyx — minimalist single-prompt-to-codebase loop. More artifact-than-product now (subsumed by Cline / Aider / Claude Code) but historically significant — defined th…

Sourcegraph's coding assistant — IDE plugin (VS Code, JetBrains) plus web. Distinguishes itself with Sourcegraph's code-search index as the context provider (cross-repo, codebase-wide retrieval). A…

Vercel's AI product (formerly v0.dev) that generates React/Next.js components and full apps from natural-language prompts. Tight integration with Vercel deploy; uses Vercel-hosted models (multi-LLM…

Codeium-built agentic IDE (VS Code fork); flagship was Cascade, a planning + execution agent that maintains "Flows" and "Memories" as durable artifacts. Reported acquired by OpenAI in May 2025 for …

Native (Rust) collaborative code editor by Zed Industries (founded by the Atom + Tree-sitter team). Added Agentic Editing in 2024 — multi-step coding agent driven by Claude or local models; .rules …

Anchor Browser provides cloud-hosted Chromium instances optimised for AI agent use — anti-detect, persistent sessions, residential proxies, CAPTCHA handling. Founded 2023, YC W24. $2.6M seed disclo…

Browserless is a headless-browser-as-a-service — managed Chromium / Playwright / Puppeteer endpoints for web scraping, screenshots, PDF generation, web automation. Increasingly used as substrate fo…

Coder.com (formerly Coder Technologies) provides enterprise self-hosted cloud development environments — VS Code Server + dev workspaces on K8s / VMs. $30M Series B 2021 (Redpoint + Founders Fund +…

CodeSandbox is the long-running browser-based dev sandbox (founded 2017 by Ives van Hoorne + Bas Buursma in Amsterdam). **Acquired by Together AI Oct-2024** to anchor Together's agent-execution sta…

Daytona is secure, elastic sandbox infrastructure for running AI-generated code and agent workflows (isolated sandboxes with snapshots, volumes, computer use, MCP server). Pivoted from an open-sour…

e2b provides secure, ephemeral sandboxes (Firecracker microVMs) for AI agent code execution. Each sandbox spins up in <200ms with full Linux environment, Python/Node/etc preinstalled. Substrate for…

Gitpod was the original cloud development environment (CDE) — founded by Sven Efftinge + Johannes Landgraf (TypeFox / Eclipse Theia / Open VSX); $25M Series A 2022 led by General Catalyst. Renamed …

Modal Labs ships a serverless container platform with first-class GPU support; Sandboxes feature (2024) adds ephemeral, AI-agent-friendly compute sandboxes. Founded 2021 by Erik Bernhardsson (ex-Sp…

A local-first, self-hosted runtime for persistent AI-agent sessions, sandboxed execution, MCP tools, approvals, audit, and replay. **Claims / pitch:** The public repository documents local, Docker,…

StackBlitz's WebContainers technology — browser-native Node.js runtime running fully client-side via WASM. Powers Bolt.new (already in catalog) plus many browser-based AI dev experiences. Founded 2…

Workato is the enterprise iPaaS (integration platform) leader — $200M+ ARR, $5.7B valuation 2021. 2023-24 launched Workato AI / Workbot AI with AI-agent workflow sandbox capability inside its autom…

Privacy-focused integrated assistant. Memory is user-curated: explicit facts and preferences persist across all sessions, stored locally with no server retention. Agentic browsing experiment (Brave…

Cloud browser infrastructure for AI agents. Headless Chromium sessions with persistent cookies, localStorage, session recording — agent workflows carry state across runs. Memory at the session/auto…

The Browser Company's AI-native browser; Atlassian acquired The Browser Company for $610M cash (announced 2025-09, closed 2025-10-21). Stores summaries and preferences locally; opt-in @history feat…

Silicon Valley. Spatial agentic browser with explicit Agentic Memory layer learning from history and notes for instant recall of past research sessions. Operates on logged-in accounts (Quora, X, et…

Copilot Mode retired 2026-05-13; its features now ship as Copilot in Edge. Journeys clusters browsing history into topic cards on the new tab page (desktop, and US mobile); Copilot long-term memory…

Memory feature stores user-declared preferences and facts; injected into future prompts. Understands current tab content; manages open tabs contextually. Memory off by default, end-user controlled,…

AI-native Chromium-based browser. Assistant operates across tabs and sessions; persistent memory of preferences; multi-step agentic tasks without leaving the browser. Memory is opt-in and server-si…

Chromium-based browser with AI agent (navigates pages, fills forms), chat-with-page, deep research and an in-browser local LLM (Eclipse) for private on-device processing; macOS, Windows, iOS, Andro…

Persistent file-based memory at ~/.claude/projects/<project>/memory/ with a MEMORY.md index plus typed memory files (user / feedback / project / reference). Loaded into context across sessions.

Claude Code plugin packaging of Memvid (see Dedicated memory layers). Wraps the Memvid .mv2 single-file store as a slash-command-installable plugin so per-project memory becomes a git-committable f…

FastAPI server. RBAC + API-key auth, encryption, backup/recovery, embedding pipeline with deduplication. Only server in this list with role-based access control over pgvector.

Hooks into Claude Code's session lifecycle; compresses tool outputs into ~500-token observations via Claude's agent SDK. SQLite + FTS5 with optional Chroma vector. "Endless Mode" compresses in-flig…

Wraps Supermemory cloud API. Team memory shared across project members, separate from personal memories. Auto-capture on session end; per-repo config.

High-performance MCP server building persistent code knowledge graphs via AST. 155 languages via vendored tree-sitter; SQLite + WAL; single static binary; zero runtime deps. Knowledge graph: Projec…

"Cognify" extracts entities and relationships into a structured graph. Saves interaction patterns as coding rules; uses both vector and graph DBs. Bundled in Cognee v0.3.5+.

SQLite + FTS5; agent decides what to save (not firehose capture). Single Go binary, no CGO, no Node/Python/Docker dependencies. HTTP API + MCP + CLI + TUI; optional cloud sync with local-source-of-…

Tracks how facts change over time; maintains provenance; supports prescribed and learned ontology. Bi-temporal edges (when known vs when valid). Only server that distinguishes "fact learned" from "…

World (facts), Experiences (agent actions), Opinion (beliefs with confidence scores), Observation (mental models). Entity resolution ("Alice" and "my coworker Alice" same node). Mimics human recall…

SQLite + FTS5 + BM25 ranking. Stores learnings, decisions with reasoning and alternatives , entities, observations. Loads context from last 3 sessions. Only server that captures why a decision was …

KG-based local fork of @modelcontextprotocol/server-memory . Avoids ephemeral npx installs; supports named databases for topic scoping; user-controlled memory path. Drop-in for teams that want the …

Embeddings via @cf/baai/bge-m3 ; Vectorize + D1; per-user namespace isolation. Runs entirely on Cloudflare Workers — no separate server.

SQLite-Vec default, Cloudflare hybrid for production. Typed edges (causes, fixes, contradicts). Autonomous consolidation compresses old memories. SSE real-time notifications + D3.js visualisation d…

Archived 2026-03-24 (read-only); README now points to Mem0's official cloud-hosted MCP server at mcp.mem0.ai/mcp. Mem0's managed cloud API exposed as MCP tools. Semantic search + CRUD on memories s…

Knowledge-graph-based persistent memory MCP server — the canonical reference implementation. npx -y @modelcontextprotocol/server-memory ; configurable via MEMORY_FILE_PATH .

Mem0's MCP memory layer for coding agents (Claude, Cursor, VS Code, Windsurf, Codex etc.). As of Oct 2026 it is a hosted service: the MCP server runs at mcp.mem0.ai, needs a Mem0 Platform account (…

Claude Code plugin that indexes prior conversations at session end and exposes search/show tools via MCP. Distributed via obra/superpowers-marketplace ; install with /plugin install episodic-memory…

Self-hosted persistent memory layer that captures coding-agent activity and recalls it in later sessions, positioned on public benchmark results. #7 in TeleAI Awesome-Agent-Memory

Appends conversation turns to .aider.chat.history.md in project root. restore_chat_history defaults to false — no automatic replay into new sessions. Community /session save command for JSON state …

Real-time knowledge graph indexed from connected repos + commit history + CI/CD + tickets + docs. Separate Agent Memory layer (Sept 2025) captures session decisions/corrections/goals as discrete it…

Dolt-backed, dependency-aware graph issue tracker that acts as persistent structured memory for coding agents, replacing markdown plans; `bd remember` stores durable facts and `bd prime` re-injects…

In-browser WebContainer (Rust-backed shared memory) is the implicit state store. No dedicated memory abstraction — project files are the state. Team plan adds shared workspaces + GitHub integration.

MCP server + hooks that sandbox tool output out of the coding agent's context window (claims ~98% reduction) and persist session memory across 17 agent platforms.

Discontinued: Continue was bought by Cursor (announced ~2026-06-16); the product is discontinued and the continuedev/continue repo is read-only. Official Memory MCP (Mar 2025) backed by a knowledge…

Project-scoped memories in Cursor, created either by a background 'sidecar' model watching chats or by the agent via tool calls, and managed as auto-generated rules in settings. Traction: First-par…

Structured Knowledge items stored server-side. Three-tier scope: repo-pinned (always injected), global (recall by relevance), org/enterprise (visible to org members). Auto-generates Repo Knowledge …

Google's open-source Gemini CLI persists facts by editing tiered Markdown memory files — repo GEMINI.md, a per-project private memory folder and global ~/.gemini/GEMINI.md — that load into hierarch…

Repository-scoped memories that Copilot coding agent, code review and CLI write automatically, share across features, validate against the current code before use, and expire after 28 days; owners …

Letta's stateful coding-agent harness: agents rewrite their own memory blocks and skills, version context in git via MemFS (syncable to GitHub) and reflect via a periodic /sleeptime 'dreaming' proc…

Long-term context stored as files in /docs that the agent reads on each session. Agent Mode (default since July 2025) holds working context within session but doesn't persist cross-session beyond f…

Zilliz's persistent memory layer shared across agents like Claude Code and Codex: Markdown files are the source of truth, and Milvus indexes them for search. from the Milvus vendor

Vibe is Mistral's cloud-hosted coding-agent platform: each session runs in an isolated sandbox with task state, history, and approvals. Spawnable from CLI or Le Chat, with parallel execution. Local…

Memory under ~/.codex/memories/ : summaries, durable entries, recent-input logs, supporting evidence — generated in background after sessions go idle. Chronicle (opt-in macOS preview) uses screen-c…

Codex Memories carries preferences, conventions and pitfalls across Codex threads as local memory files. The Chronicle research preview has been replaced by Computer History, a rebuilt macOS deskto…

No documented built-in persistent semantic memory store. Session duration expanded to 200 min (Agent 3); Agent 4 shifts toward persistent runtimes. Temporal used for orchestration durability, not s…

LSP-backed MCP coding toolkit ('IDE for your agent') with a built-in project memory system for sharing knowledge across sessions, users and projects alongside AGENTS.md.

Superseded: the sweepai/sweep README says the team now builds an AI coding assistant for JetBrains; the GitHub-app product described here is no longer the focus (repo not archived). No dedicated pe…

Enterprise Context Engine builds a multi-dimensional knowledge graph from repos + CI/CD + PRs + tickets + docs at the org level. Individual completions stay session-scoped. Tabnine Agents (Nov 2025…

Anthropic's API-surface capability that lets Claude control a virtual desktop — see screenshots, type, click. Launched 2024-10 as a public beta. Not a finished IDE itself; it's the substrate that o…

Python library that turns any LLM into a browser agent — extracts DOM into a structured representation the LLM can act on (rather than pure screenshot). Browser Use Inc. raised $17M seed Q1 2025 (F…

Open-source desktop-agent runtime that runs an LLM-controlled Linux desktop inside Docker — uses xdotool / X11 capture for control. Pitched as the 'self-hosted Operator' alternative; agent sees a r…

Anthropic's Chrome extension (Claude in Chrome) letting Claude act inside the user's own browser. Research preview Aug 2025; beta for all Max users Nov 2025; on all paid plans since Dec 2025. Disti…

Always-on desktop AI assistant that watches the user's screen (across all apps) and answers questions / takes actions based on what's currently visible. Mac + Windows. Founded by Mac Bishop (ex-Mix…

Cloud-hosted headless browser API tuned for AI agents — captcha solving, stealth mode, session recordings. Y Combinator S24; pitched as a faster / cheaper Browserbase alternative. Used as substrate…

AI agent platform that automated SaaS workflows across Gmail, Slack, Sheets, etc. using natural-language instructions compiled into durable playbooks. Founded by ex-Google/Facebook engineers; raise…

Formerly an OSS AI browser-agent / natural-language E2E testing framework (YC 2025). The magnitudedev/magnitude repo now hosts an OSS local inference engine + desktop app that serves open models to…

OpenAI's general-purpose browser agent — research preview launched January 2025 (US Pro tier). Built on the Computer-Using Agent (CUA) model that processes screenshots and emits mouse / keyboard ac…

Google DeepMind's experimental browser agent built on Gemini 2.0, a Chrome extension that took actions on the user's behalf. Research preview launched Dec 2024 as Google's answer to OpenAI Operator…

Open-source autonomous browser agent that uses computer vision + LLMs to navigate websites. Workflow-based: agents follow recorded plans that adapt to layout changes. Skyvern Inc. raised $4.5M seed…

Open-source browser-automation framework by Browserbase (TypeScript core plus Python and Go SDKs). Mixes Playwright-style code with natural-language act/extract/observe; pairs with Browserbase Cloud.

Open-source browser API ('the browser for agents') — Chromium fleet with stealth mode, session recordings, CDP. OSS repo + managed cloud. Compatible with Playwright / Puppeteer. Distinguishes itsel…

ByteDance Seed's open-source GUI-agent foundation model — released Jan 2025; trained end-to-end on screenshot → action pairs. Comes with UI-TARS-Desktop (Electron app) that runs the model against t…

'Agent Skills as a Memory Layer': an open-source skill-memory layer that stores what agents learn as agent skill files. Built by the Memobase team. The README now says Acontext is no longer maintai…

SEA-LION-Embedding (March 2026): retrieval + reranking models contrastively trained on 245M text pairs across 10 SE Asian languages. SEA-BED benchmark (169 datasets). SEA-LION v4 (Gemma-based) at 1…

German enterprise stack. PhariaCatch captures + preserves organisational knowledge through structured human-machine collaboration; PhariaAssistant queries via semantic search. Combines sovereign de…

Renamed Anda Brain (repo now ldclabs/anda-brain). Native graph-based memory for autonomous AI agents. Bio-inspired sleep-based memory consolidation. The hosted service brain.anda.ai has been discon…

Tsinghua spinout. Foundation agent series for autonomous smartphone/PC GUI control. Persistent task memory retains shopping history, app usage patterns, multi-step task state across sessions. AutoG…

Stateful AI API combining persistent memory, RAG, web search and routing across many LLMs behind one interface, with SDKs for Python and npm; benchmarks its memory on LoCoMo and LongMemEval. As of …

Agent-memory product. LLM-curated hierarchical context. Now ships as ByteRover Desktop (V4) with cloud-synced spaces for agents and teammates; the open-source CLI repo campfirein/byterover-cli is a…

Korean startup. Connects scattered internal/external data across multiple chats and services to improve AI answer quality at retrieval. 18-year-old CEO Jang Jun-ha; pitch is that answer quality dep…

Renamed ByteRover CLI (brv); repo campfirein/byterover-cli archived read-only 2026-09-27, license changed to Elastic License 2.0. Opensource memory layer focused on programming agents — works with …

"Extract–Cognify–Load" pipeline that turns raw input into a typed, queryable knowledge graph for agent recall.

Open-source agent 'brain' storing explicit sourced facts with corrections and withdrawals, shared across agents; built as the memory for OpenClaw/Hermes agents. author is YC CEO; listed #6 in TeleA…

Standalone memory service from Vectorize. Open source. Biomimetic four-network design (World, Bank, Observation, Opinion). Ships an MCP memory server.

Memory library/service for stateful agents that reasons over stored messages to build 'peer' representations (theory-of-mind style user models) queryable via a dialectic API; used as Hermes Agent's…

YC F25 'company brain': connects 50+ sources (Slack, Gmail, Notion, Drive...) into a permission-aware context graph served to agents via API/SDK, returning structured results or LLM-ready summaries…

Back-office operations platform where agents and domain experts triage and resolve cases; each resolved case feeds a context graph, and a 'MemoryRank' component reuses prior successful cases to rou…

Offline since Apr 2026 (pulled from app stores and the Ola platform per press reports); Ola Krutrim's own Kruti page says (checked 2026-10-29) that Kruti AI is under maintenance and will be back sh…

Originated as MemGPT (UC Berkeley), where the model pages its own memory between context, recall and archival tiers. The product now centres on Letta Code, a stateful agent harness whose agents rew…

ByteDance Seed + Zhejiang Univ + SJTU. Multimodal agent with long-term memory as entity-centric graph built from live video + audio streams. Parallel memorisation + control processes. Ships M3-Benc…

Universal memory layer for AI agents. Three concurrent stores (vector + graph + KV); LLM-extracted facts; concurrent retrieval via ThreadPoolExecutor.

A 'memory agent' that manages other agents' memories, deciding what to keep, what conflicts, what expires and who needs to know; runs locally (Docker/Ollama) or as a free cloud. self-reported 89.8%…

Open-source long-term memory framework for autonomous agents.

Multi-layered open-source memory system for AI agents.

User-profile-based long-term memory. Per-user profile + event timeline. API + Python/Node/Go SDKs + MCP server. Profile-centric rather than fact-centric.

Shenzhen. Argues attaching external vector stores is architecturally flawed; trains memory as an intrinsic capability via Agentic RL. Plans B2B enterprise KM and C2C personalisation in 12 months. F…

Structured, persistent memory layer for AI agents. Open source.

Now Memori by Memori Labs (repo moved to MemoriLabs/Memori; adds managed Memori Cloud and BYODB). SQL-native memory engine for AI agents — single library, opt-in conscious/auto modes, structured Py…

Memory layer from MatrixOrigin. Strong-retrieval / clear-reader-separation design.

Memory layer for AI assistants — semantic short-term and long-term memory with concept-graph linking and decay/reinforcement.

Renamed MemStore (memory.store now redirects to mem.store); YC Spring 2026. Shared memory layer delivered as an MCP server: a team's AI agents record decisions/progress across sessions and recall f…

Open-source memory system modelled on human cognition, with perception, extraction, association and forgetting stages; also offered as a hosted product. #18 in TeleAI Awesome-Agent-Memory

Lightweight agent memory system that builds a shared, file-like 'memory wiki' across sessions, agents and devices and can extract reusable skills from agent history; also offered as a hosted servic…

Single-file memory layer (one .mv2 file). No DB, no server. Append-only sequence of immutable Smart Frames with timestamps + checksums. Native Rust core (rewritten from Python).

Walrus is a Sui-blockchain decentralised storage protocol; MemWal is its AI-facing SDK that stores encrypted agent memory on-chain — portable, verifiable, shareable across agent systems with no sin…

Reasoning-focused successor to HyperCLOVA X. Pre-trained on ~6T high-quality Korean + English tokens. 128K context via rotary position embeddings + grouped-query attention. Sovereign reasoning LLM …

Neo4j Labs' graph-native agent memory library (Python and TypeScript) that stores conversations, builds knowledge/context graphs and records agent reasoning traces to learn from. Also available as …

Builds agents that learn from experience by constructing a "world model" of the micro-environment they operate in. Specialise over time through Agentic RL loop rather than relying on static prompt …

Renamed NVIDIA CMX Context Memory Storage Platform (2026). A BlueField-4 (STX) powered "AI-native context tier" that extends GPU memory with a shared pod-level KV-cache tier for long-context, multi…

Now positioned as 'The data factory for AI': connects AI labs with licensed data and an expert network, built on an identity graph of ~2.2B people and 380M businesses; people-data APIs (identity re…

Omni memory system for personalised, long-horizon, self-evolving agents. From OPPO PersonalAI.

Local context/memory engine for coding agents: stores decisions, docs and agent history on-machine (SQLite + local ONNX embeddings) and serves a ranked slice per task over MCP. Open-core Apache-2.0…

Renamed LongMemory (repo CaviraOSS/LongMemory; packages longmemory / longmemory-sdk, with openmemory-js@2 / openmemory-py@2 as forwarding bridges). Open-source cognitive memory engine for LLMs and …

Open-source 'context database' from ByteDance's Volcengine that unifies agent memory, RAG knowledge and skills behind a virtual filesystem (viking:// URIs) with tiered loading and self-evolving con…

Long-term memory engine for developers — captures everything the user does (browser, IDE, terminal) on-device, exposes via MCP for any IDE/agent.

Redis's original open-source working + long-term memory server for agents (REST and MCP), with automatic extraction, semantic search and topic/entity tagging; also used to give Snowflake Cortex Age…

Cloud-free agent memory using information-geometric retrieval (Fisher-Rao distance + BM25 + entity graph + temporal fusion via 4-channel RRF) instead of LLM calls for scoring and lifecycle. Mode A …

Memory engine with API, app, browser extension, and MCP server. Extracts facts, tracks updates, resolves contradictions, auto-forgets expired info. Plugins for Claude Code, OpenCode, OpenClaw, Hermes.

Tencent's team-level memory hub that turns conversations, docs and code into four reusable memory assets: chat memory, skills, an LLM-wiki and a code graph. big-tech vendor

YC S25 + $3M seed (Feb 2026). Workflow orchestration mapping corporate environments as a structured context graph so agents always have institutional knowledge for tasks. CTO frames differentiator …

Node.js/TypeScript-native memory layer. SQLite + local Transformers.js embeddings (~80MB model via WebAssembly). AUDN loop (Add/Update/Delete/None) resolves contradictions before write rather than …

Bi-temporal knowledge graph (event time + ingestion time). Strong on chronological reasoning and contradiction tracking. Graphiti is the open-source core.

Durable execution engine on Cloudflare Workers that runs multi-step workflows with automatic retries, sleeping and waiting for events. The docs include a guide to building a durable AI agent.

Python framework, GA at v1.0, for building LLM agents that run durable tasks and collaborate through Dapr Workflows, using Dapr's state management, messaging and observability.

Postgres-backed durable workflow library that makes AI agents and applications resilient to failures, with durable queues, cron and human-in-the-loop. It integrates with Pydantic AI, LlamaIndex, th…

Agent-native durable runtime that runs each agent in its own WebAssembly VM. After crashes, restarts or rescaling the agent resumes mid-function with memory and files intact, and tool calls execute…

Orchestration engine for AI agents, background tasks and durable workflows, available self-hosted or as a managed cloud.

BAAI (Beijing Academy of AI) BGE family — bge-large/base/small + bge-m3 multilingual + bge-reranker. One of the most widely-used open embedding families.

Cohere's hosted embedding models, now Embed 5 (2026-09-30; Pro and Fast tiers): text, image and fused text-plus-image inputs, 100+ languages, 128K-token context, Matryoshka output dimensions from 2…

Alibaba DAMO Academy's GTE family — open-weight multilingual embedding models; gte-large/base/small + Qwen-based gte-Qwen2.

HF's hosted Inference API and Inference Endpoints — serve any model from the Hub including the BGE/GTE/E5 embedding families.

Jina AI's embedding family — jina-embeddings-v3 (multilingual), jina-clip-v2 (text+image), jina-colbert-v2. Open-weights + hosted API + ColBERT-style.

Mistral AI's hosted embedding API — mistral-embed; available via Mistral La Plateforme and Azure AI.

Agentic search platform that ingests PDFs, decks, video, code, Slack and Drive and returns evidence to agents. Built on its own models and database: Wholembed V3 (late-interaction, omnimodal) embed…

Nomic's open-weight embedding models (nomic-embed-text-v1.5, nomic-embed-vision), distributed on Hugging Face. Nomic itself has pivoted to domain-specific agents for architecture, engineering and c…

OpenAI's hosted embedding API — text-embedding-3-small, text-embedding-3-large. Most widely used commercial embedding API in OSS RAG/memory stacks.

Reimers & Gurevych's library for training sentence embeddings — substrate under most open-weight embedding models. Now under Hugging Face.

Specialised embedding and reranker provider — voyage-3, voyage-multilingual, voyage-finance, voyage-law, voyage-code. Acquired by MongoDB Feb 2025 for $220M.

Bibliographic metadata curation (Web of Science, Derwent, Cortellis). Human editorial governance + journal-deindexing. Memory-adjacent — included as a curated-knowledge baseline.

RAG-as-a-Service for AWS (Dec 2025) via hosted MCP server grounding Amazon Bedrock agents in enterprise knowledge. Passage retrieval + answer generation + ranked search + fetch in one API.

Enterprise search with 100+ connectors. Personalised per-user knowledge graph. No governance layer.

Enterprise Q&A agent powered by Luci patent-pending ultra-precise RAG. Embeds on product detail pages; consumes technical PDFs, spec sheets, images, tables, charts, graphs and product manuals. Main…

Semantic + hybrid search GA (2025). Automatic embedding generation + caching via OpenAI / HuggingFace / Ollama. Multi-modal (text + images); hybrid rank fusion; conversational RAG built in.

Hybrid keyword + vector retrieval with entitlement-aware filtering. Unified enterprise knowledge graph linking documents, tickets, records. RAG prompt orchestration built in.

Agentic enterprise search with Knowbler — quality checks via the KCS (Knowledge-Centered Service) standard. Most explicit governance features in the segment.

Hybrid retrieval combining dense vector + keyword + graph traversal + multimodal. Agentic RAG grounding AI agents in internal knowledge. SOC 2 / ISO 27001 compliant.

Production ML monitoring + LLM observability (Arize AX) — drift, eval, root-cause. Pre-LLM observability leader; now LLM-pivoted.

Arize AI's open-source LLM observability tool — OpenTelemetry-native LLM tracing, evals, datasets. Arize commercial offers Phoenix + Surveyor.

Eval-first LLM platform — datasets, eval runs, prompt playground, tracing. Founded by ex-Impira (acquired by Dropbox) team. Used by Notion, Brex, AirOps.

Open-source DeepEval framework + Confident AI cloud — pytest-style eval runs, hallucination/relevance/bias metrics, datasets.

Datadog's product for evaluating, tracing and monitoring AI agents, combining offline experiments on golden datasets with production tracing and troubleshooting. Its former LLM Observability URL no…

Galileo Evaluate / Observe / Protect — eval, tracing, guardrails; hallucination detection and ChainPoll metric. Acquired by Cisco in 2026 and now sold as Splunk Agent Observability.

Open-source LLM observability and AI gateway — one-line proxy integration captures every LLM call; sessions, custom properties, evals. Acquired by Mintlify in Mar 2026 and placed in maintenance mod…

Agent observability and evaluation platform for replaying traces step by step, debugging long-running multi-agent trajectories and evaluating live production traffic.

Collaborative LLM development platform — prompt editor, evals, tracing. UK; Index Ventures + Y Combinator backed. The team joined Anthropic in 2025 and the platform shut down on 2025-09-08.

Open-source framework for frontier LLM evaluations from the UK AI Security Institute and Meridian Labs. It has composable datasets, agents, tools and scorers, 200+ prebuilt evals including agentic …

Open-source agent observability platform that captures LLM calls, tool calls, sub-agents, costs and tokens. Its Signals feature clusters agent failures automatically, and it also runs evals.

OpenAI's open-source framework and registry of benchmarks for evaluating LLMs and LLM systems.

Arize-led open OTel semantic conventions for LLM/agent tracing — auto-instrumentation for OpenAI/Anthropic/LangChain/LlamaIndex etc.

Traceloop's open-source OpenTelemetry auto-instrumentation for LLM workflows — works with any OTel-compatible backend (Datadog, New Relic, Grafana, etc.).

Enterprise eval and guardrails platform — Lynx hallucination detector (open weights), Glider judge model, Polyglot benchmark. Built by ex-Meta researchers. The evaluation platform (API, SDKs, evalu…

Prompt versioning + tracing platform — non-eng-friendly prompt editor; early entrant pre-LLM-ops wave.

OpenTelemetry-based AI observability platform that traces model calls, agent steps, API requests and database queries in one view. SDKs are available for Python, JS/TS and Rust.

Open-source eval framework for RAG pipelines — faithfulness, answer-relevance, context-precision, context-recall. Widely used as a baseline RAG eval kit.

ML observability with the TruLens open-source LLM eval framework — the 'RAG Triad' (context-relevance, groundedness, answer-relevance) metrics. Acquired by Snowflake 2024-05.

Open-source LLM/RAG evaluation framework — feedback functions, the RAG Triad. Originally TruEra; now Snowflake-stewarded.

Originally an enterprise LLM development platform (prompts, workflows, evals). It pivoted to a personal AI assistant (open-source vellum-assistant plus Vellum Cloud). Vellum announced its hosted Pe…

Open Markdown 'README for agents' at repo root; nested files in subprojects take precedence (closest wins). Holds build/test commands, conventions and PR rules. Stewarded by the Agentic AI Foundati…

CONVENTIONS.md (any name, loaded via --read or read: in config); .aider.conf.yml (home / git-root / cwd, last wins); .aiderignore (gitignore-syntax).

Local-first MCP memory where each memory is a Markdown note with observations and wikilink relations that form a traversable knowledge graph, indexed with SQLite (optional Postgres vectors), plus a…

CLAUDE.md files (managed, user, project, local scopes) concatenated into context at session start, with @imports and path-scoped .claude/rules/; complemented by Claude-written auto memory (MEMORY.m…

Markdown rule files in a workspace .clinerules/ (or .cline/rules/) directory plus global rules in ~/Documents/Cline/Rules; workspace wins on conflict. Per-rule toggles, conditional rules via YAML '…

memory-bank/ directory of Markdown: projectBrief.md , productContext.md , activeContext.md , systemPatterns.md , techContext.md , progress.md . Loaded in full at start of every task. Compensates fo…

.continue/rules/*.md at workspace root, loaded lexicographically; YAML frontmatter name, globs, regex, description, alwaysApply. Continue was acquired by Cursor in June 2026 and the extension is no…

Persistent instructions injected at start of model context: Project Rules (.mdc files in .cursor/rules, scoped Always/Auto Attached/Agent Requested/Manual), global User Rules, and AGENTS.md; legacy…

.github/copilot-instructions.md (repo-wide) plus .github/instructions/*.instructions.md path-scoped via applyTo glob (optional excludeAgent); Copilot agents also honor AGENTS.md (nearest in tree) o…

Memory system of the viral OpenClaw personal agent: plain Markdown files (USER.md, MEMORY.md, daily memory/YYYY-MM-DD.md notes, DREAMS.md) with memory_search/memory_get tools, automatic pre-compact…

replit.md at project root. Persists project overview, tech stack, architectural decisions, deployment process, external resources. Scoped to Agent conversations only.

Discontinued: Roo Code (VS Code agent) used .roorules / .roo/rules files as persistent project instructions; the extension shut down on 2026-05-15 and its repo is archived.

Cody Free, Pro and Enterprise Starter were discontinued 2025-07-23 (Amp offered as replacement); only Cody Enterprise continues. .vscode/cody.json (workspace-scoped). JSON defining slash-commands w…

Now Devin Desktop (ex-Windsurf). Rules: global_rules.md (6K chars) plus workspace rules in .devin/rules/ (fallback .windsurf/rules/, 12K chars each) and AGENTS.md via the same engine. Cascade auto-…

Zed reads one project instruction file (first match of .rules, .cursorrules, AGENTS.md, CLAUDE.md, GEMINI.md and similar) into agent context. Since v1.4.0 the on-demand Rules Library has been repla…

Kai-Fu Lee's 01.AI (founded 2023, Beijing). Yi family open-weights — Yi-34B (2023), Yi-Large (proprietary 2024), Yi-Lightning (2024-10, frontier-tier, matched GPT-4o on LMSYS chatbot arena). Apache…

Alibaba Cloud's Qwen 3 family (2025-04) — open-weights frontier models from 0.5B to 235B-A22B MoE. Apache 2.0 (most sizes) — broadest open-weights family. Includes Qwen 3 32B dense, Qwen 3 30B-A3B …

Amazon's first-party foundation model family, launched at AWS re:Invent Dec-2024. Nova Pro (multimodal mid-tier), Nova Lite (multimodal cheap), Nova Micro (text-only fast), Nova Canvas (image gen),…

Claude family of frontier foundation models — Sonnet 4 (workhorse), Opus 4.5 (frontier capability), Haiku 4.5 (fast/cheap). Frontier model used as substrate by Claude Code, Anthropic Memory tool, C…

Toronto-based foundation-model lab (Aidan Gomez, ex-Google Brain 'Attention Is All You Need' co-author). Command family is enterprise / RAG-optimised: Command A (Mar-2025, 111B dense, 256k ctx), Co…

DeepSeek (Hangzhou-based, Liang Wenfeng founder) — released DeepSeek-V3 671B MoE (37B active) Dec-2024, then R1 reasoning model Jan-2025 that matched o1 at ~3% of inference cost. Caused 'DeepSeek m…

Google DeepMind's Gemini 3 frontier model family — Gemini 3 Pro (top tier), 3 Flash (fast), 3 Nano (on-device). Substrate for Google Workspace AI, Vertex AI Agent Platform, Gemini Code Assist, Proj…

Israeli production model. Interleaves Mamba SSM layers with Transformer attention (1:7 ratio) + MoE blocks every 2 layers. SSM layers maintain fixed-size recurrent hidden state — compressed long-co…

Meta's Llama 4 family (released 2025-04) — Scout (109B MoE, 17B active), Maverick (400B MoE, 17B active), Behemoth (2T MoE, 288B active; preview). First Llama generation to use mixture-of-experts a…

Microsoft Research's Phi family of small, data-curation-focused open-weights models. Phi-4 (14B, Dec-2024) matches much larger models on STEM benchmarks. Phi-4 Multimodal (5.6B, Feb-2025) integrate…

French frontier-model lab (Paris). Family includes Mistral Large 2 (123B dense, Jul-2024), Mixtral 8x22B (open-weights MoE), Mistral Small 3 (24B, open-weights Jan-2025), Codestral (code specialist…

OpenAI's foundation model family — GPT-5 (2025-08 flagship), GPT-4o (multimodal workhorse), o3/o4 reasoning series. Substrate for ChatGPT, the OpenAI API, Microsoft Copilot, Azure OpenAI, and many …

SF / Singapore foundation-model startup founded by ex-DeepMind / Meta / Google researchers (Dani Yogatama, Yi Tay, Qi Liu). Native multimodal models: Reka Core (~67B, frontier candidate), Flash (~2…

Elon Musk's xAI frontier model — Grok 4 launched 2025-07. Trained on Colossus (100k+ GPU supercluster in Memphis). Deeply integrated with X/Twitter (real-time tweet data access). Grok 4 Heavy varia…

Open-source AI automation platform. Routes between short-term and long-term memory adaptively across any LLM provider; plugin system for storage backends. Memory managed at the instruction-manageme…

Agno (formerly Phidata). AgentStorage persists sessions to a DB; AgentMemory auto-classifies/store user preferences and conversation summaries. Single-line integrations with LanceDB, Pinecone, Weav…

AutoGen's memory layer: ListMemory chronological context plus teachable agents that vectorise corrections; integrates with Mem0/Zep rather than building deep memory natively. Microsoft AutoGen is i…

Per-plan vector-DB storage quota + LLMz autonomous engine (in-session working memory) + Knowledge Base (semantic search over uploaded docs). Long-term user memory persists across sessions.

Memory subsystem inside the CrewAI orchestration framework; integrates with Mem0 for the long-term tier.

dspy.History primitive — typed field holding messages: list[dict] that slots into any Signature . No persistent memory of its own; purely a structured context-injection contract. DSPy's optimisatio…

Discontinued: Flowise (acquired by Workday, Aug 2025) was sunset in 2026 — code freeze 2026-07-29, GitHub repo archived 2026-08-13, end of life 2026-08-31. Was a visual LangChain canvas with LangCh…

Google's Agent Development Kit. Session services: InMemory / Database / VertexAI. Long-term: InMemoryMemoryService or VertexAIMemoryBankService (uses Vertex AI Memory Bank Preview for persistent cr…

Haystack 2.x: InMemoryChatMessageStore (experimental) + ChatMessageRetriever + ChatMessageWriter components in declarative pipelines. Legacy: ConversationSummaryMemory with LLM-compressed rolling s…

Nous Research's open-source self-improving agent keeps an agent-curated MEMORY.md/USER.md notebook injected at session start, full-text (FTS5) search over past sessions that returns raw messages wi…

Memory as Network State — shared key-value store owned by the multi-agent network, readable by router / agents / tools. Persisted durably via Inngest infrastructure. Memory writes decoupled from re…

Agent component has built-in chat memory enabled by default, keyed by session ID. Custom session IDs isolate per-user history. Bundled Mem0 + Redis integrations for external memory layers.

Distinct from LangMem. Built-in checkpointer saves graph state per super-step (short-term, thread-scoped). Store System adds long-term hierarchical key-value memory across threads with optional vec…

First-class memory module inside LangChain — explicit cognitive-science-style typing of memories.

Memory is a file explorer for what Lindy knows: files it creates or uses, files users upload, skills (.skills/ folders with SKILL.md) and durable knowledge in a .memory/ area. Scoped Personal (owne…

Two-tier model: ChatMessage FIFO queue with overflow flushed into long-term Memory Block objects. Memory class replacing older ChatMemoryBuffer.

TypeScript-first agent framework. Default memory: LibSQL store + on-device fastembed-js for semantic recall.

Enhanced LanceDB memory plugin for OpenClaw that adds hybrid vector + BM25 retrieval, cross-encoder reranking, multi-scope isolation and a management CLI. #21 in TeleAI Awesome-Agent-Memory

Low-code workflow platform. AI Agent node ships with pluggable memory sub-graph: Simple Memory for development; Postgres/Redis for production; vector store nodes (Qdrant, Pinecone, MongoDB Atlas) f…

OpenAI's agent SDK. Sessions for working context within an agent loop; RunContextWrapper for structured persistent state. April 2026 update added categorised long-term memory: project / user / poli…

PraisonAI multi-agent framework memory: zero-dependency default (memory=True), short/long-term and file memory, DB persistence (Postgres/SQLite/Redis/Mongo etc.), graph memory, and a Claude memory-…

Pydantic-AI ships no native persistent memory; agents start fresh each run. Long-term memory typically added via third-party integration (e.g. Hindsight) using tools + auto-injected memory instruct…

Pydantic AI Harness ships a Memory capability: a MEMORY.md notebook plus extra Markdown notes, exposed via write/read/delete/search memory tools and auto-injected into context; backends InMemory, F…

Two memory scopes: conversation metadata (KV per-conversation) and persistent memory (cross-session). Enabling metadata auto-adds Add/Read conversation metadata tools.

Voice agents. Short-term context within call native; long-term memory via webhook integration to CRM / external DB. Cross-agent memory sharing in multi-agent setups.

Open-source visual AI programming environment. Memory is a first-class graph node: stores text block, supports stable IDs (saving same ID overwrites enabling updates), injects stored text into down…

Microsoft Semantic Kernel's memory plugin (Microsoft.SemanticKernel.Plugins.Memory): a plug-in approach to long-term memory in the SK agent framework (agent memory marked experimental). Semantic Ke…

Hugging Face barebones agent framework. Memory lives as a Python list; no built-in persistence. Step callbacks let you mutate memory between steps. Persistence is left to the user — community propo…

Wraps conversation memory behind an Advisor abstraction. MessageWindowChatMemory default 20-msg sliding window (preserves system messages); pluggable ChatMemoryRepository backends (in-memory, JDBC,…

Acquired by Asana (completed 2026-05-28); continues as its own product and brand. Connects enterprise knowledge sources (SharePoint, Confluence, Notion, Drive, DBs) as memory layer with access cont…

AWS code-first agent framework. Multi-LLM (Bedrock, Anthropic, Gemini, OpenAI). Memory via Mem0 integration (ElastiCache for Valkey + Neptune Analytics) or Bedrock AgentCore Memory. Local default u…

Voice agents. Externalises memory from LLM into structured call state — variables rather than model recall — reducing hallucinations. Squad mode passes context across multi-agent assistant hand-off…

Agent platform. Keeps a configurable window of recent turns (default 50, range 10–100) in the {vf_memory} variable; older turns are summarized rather than dropped. Chat projects can persist history…

Configurable safeguards that filter harmful text and image content, redact sensitive information, block denied topics and detect hallucinations. They apply consistently across foundation models in …

Open-source service from Arthur AI for enforcing guardrails in LLM and agent workflows, with real-time detection of PII leakage, hallucination, prompt injection and toxicity. It also provides trace…

Azure AI Content Safety API that detects user prompt attacks and indirect (document) prompt injection aimed at manipulating a model's behavior, alongside groundedness, protected-material and task-a…

AI detection and response product that discovers, governs and secures AI agents at runtime across endpoint, cloud and SaaS. It is built on Pangea, which CrowdStrike agreed to acquire in September 2…

Runtime security service that screens AI prompts, responses and agent interactions for prompt injection, jailbreaks, malicious URLs, sensitive-data leaks and harmful content, with adjustable confid…

Open-source guardrails framework plus the Guardrails Hub of validators that detect policy violations, hallucinations and data leakage in LLM and agent outputs at runtime. Harvey announced its acqui…

Contextual guardrailing layer for agentic and MCP applications that sits at the LLM and MCP level. It enforces deterministic rules over tool calls, data flow, secrets, PII, code and loops.

Meta's open system-level safeguards from the Purple Llama project: Llama Guard content-moderation classifiers, Prompt Guard prompt-injection and jailbreak detectors, Code Shield insecure-code filte…

Open-source Python library for adding programmable guardrails to LLM-based applications and agents. It blocks, alters or validates unsafe, off-topic, malicious or policy-violating user inputs and m…

Open-source framework for detecting, redacting, masking and anonymizing PII in text, images and structured data, commonly used to scrub prompts and responses around LLMs. Originally a Microsoft pro…

AI security platform that controls employee AI tool usage, protects homegrown AI apps and autonomous agents, and redacts sensitive data and enforces policy across AI services. It is now offered by …

Microsoft's Python Risk Identification Tool, an open framework for automated and human-led red teaming of generative AI systems. It runs multi-turn attack strategies such as Crescendo and TAP again…

Open-source, Envoy-powered control plane giving agents one OpenAI-compatible API for every model and one router for MCP tools, with provider credentials, failover and token limits. It was formerly …

Open-source Rust proxy for AI agents covering LLM routing with credentials and failover, native MCP and A2A traffic, and token-usage limits. Contributors include Solo.io, Microsoft and AWS, and kga…

Commercial platform built on Ray — distributed training, fine-tuning, serving. Anyscale Endpoints provides hosted OSS inference; ray cluster is the substrate underneath OpenAI's training stack.

Inference platform for ML models — Truss package format, Chains for multi-model workflows, autoscaling GPU/CPU serving. Targeted at production teams shipping LLM/diffusion endpoints.

Open-source Go AI gateway from Maxim AI with one OpenAI-compatible API for many models, failover, load balancing, semantic caching, virtual keys and budgets, and a built-in MCP gateway for agents.

Gateway in front of 20+ model providers with an OpenAI-compatible unified API, caching, rate and spend limits, dynamic routing, guardrails, DLP and BYOK, plus logging and analytics.

Fast inference platform for OSS LLMs — custom Cuda kernels, speculative decoding, multi-LoRA serving. Targets latency-sensitive production use cases.

BerriAI's open-source LLM gateway — unified OpenAI-format API for 100+ providers; LiteLLM Proxy adds budgets, fallbacks, observability, rate-limiting.

Serverless cloud for AI/ML — Python-decorator workflow defines GPU/CPU functions deployed to managed infra; widely used for training jobs, batch inference, and agent backends.

Inference cloud spun out of OctoML — acquired by NVIDIA in 2024. Originally TVM-compiler heritage; offered API for OSS LLM/diffusion serving.

Unified API + marketplace for 300+ models — pay-as-you-go credits, automatic fallback, model arena. Used as default LLM router by many JS/TS agents.

AI gateway + observability — load balancing across 200+ LLMs, retries, caching, eval, prompts. Open-source Gateway + commercial Portkey Cloud. Acquired by Palo Alto Networks (closed about 2026-06);…

Hosted-API platform for OSS models, part of Cloudflare since 2025-12-01 (still runs as a distinct brand) — Cog format packages models with their environment; thousands of community models behind a …

GPU-cloud platform — Pods (long-running), Serverless (per-request), and Hub (community templates). Popular for fine-tuning and inference of OSS models.

Fast LLM serving framework with RadixAttention (cache reuse across requests with shared prefixes) + structured programming primitives. UC Berkeley.

NVIDIA's TensorRT extension for LLM inference — compiles transformers to optimised kernels for Hopper/Blackwell. Used in NIM and downstream deployments.

Hugging Face's LLM inference server (continuous batching, FlashAttention, quantization). Entered maintenance mode, then archived 2026-03-21; HF recommends vLLM, SGLang, llama.cpp or MLX instead.

Cloud platform for OSS LLM inference and fine-tuning — serverless inference, dedicated endpoints, fine-tuning API, training cluster.

Enterprise AI gateway providing unified access to 1,600+ models with policy control, failover, routing, guardrails, budgets and monitoring. It can be deployed in VPC, on-prem or air-gapped environm…

Vercel's unified endpoint for text, image, video and speech models across providers, used from the AI SDK and OpenAI-compatible clients.

Open-source LLM inference engine with PagedAttention — high-throughput batching, paged KV-cache. UC Berkeley origin; de-facto OSS inference stack.

RDF triple/quad store with RDFS++ / OWL reasoning. v8.4 (May 2025) added an NLQ interface.

Vector index on graph nodes queryable via openCypher. Mem0 integration GA 2025; Cognee integration for agentic RAG. Combines semantic recall with multi-hop traversal in one managed service.

openCypher over Postgres. Pairs with pgvector for graph + vector hybrid retrieval. Azure Database for PostgreSQL ships AGE with ai_extension LLM functions for entity extraction directly in SQL.

HybridGraphRAG combines vector search, graph traversal, full-text in one AQL query. ArangoGraphML for ML pipelines; LangChain integration. The company now brands itself Arango (Arango Contextual Da…

Vector indexing on any node. Google Gen AI Toolbox integration; LangChain agent orchestration.

Auto-built knowledge graph from web crawl. 1T+ facts, 10B+ entities. GraphRAG-fine-tuned model based on open-source Llama 3.3.

Native GraphRAG SDK. Graph-memory backend for Mem0; MCP server via Graphiti integration; context graphs for long-term agent memory.

Embedded property-graph database (Cypher) with a built-in vector index and full-text search, widely used as an embedded store for agent memory and GraphRAG. The kuzudb/kuzu repository was archived …

In-memory GraphRAG engine. Memgraph 3.0 adds native vector search alongside graph traversal. LangChain toolkit.

v5.2 adds graph-vector-text hybrid retrieval natively. MCP server for Claude/GPT agents. GraphRAG in three lines of code.

Property graph DB with Cypher; native vector search; Aura Agent + MCP server for graph-as-memory. $100M GenAI investment in 2025.

RDF graph database with real-time inference, now a component of the Graphwise Platform. Ontotext and Semantic Web Company (PoolParty) joined forces as Graphwise in 2024; Oakley Capital took a major…

Proprietary operational ontology — semantic objects + kinetic actions wired to microservices. Not open-standards KG; closed platform.

RDF-native semantic platform with SHACL validation, virtual graphs, and the Voicebox AI assistant. $32.5M funding. Pitches itself as a governed-knowledge layer.

Parallel graph DB with GSQL/GQL. CoPilot for entity extraction. Free community edition.

Ontology-native semantic governance suite (formerly TopBraid EDG, now TQ Data Foundation) built on RDF, OWL and SHACL; serves governed context to agents via MCP, a Python SDK and REST.

Cloudflare One feature that puts multiple MCP servers behind a single HTTP endpoint secured by Cloudflare Access, with customized tools and per-user policies for MCP clients.

Docker's catalog of containerized MCP servers with a Desktop toolkit and an open-source MCP Gateway (docker mcp CLI plugin). An enterprise gateway authenticates users, scopes servers and tools, app…

Zero-dependency Node.js MCP server (npx -y github:moecanales/agent-oracle-beacon) exposing nine tools: GitHub-Issue context rollover and comment-mutex extraction (GBR-2500), board-game rules lookup…

Searchable directory of more than 112,000 MCP servers with license, quality and maintenance grades, plus an MCP directory API and connectors for agents.

Open-source registry and proxy that federates MCP, A2A and REST/gRPC APIs behind one endpoint with centralized discovery, guardrails, governance and plugins.

Kong's gateway for governing LLM, MCP and agent-to-agent (A2A) traffic in one place. It controls access, data leakage and token usage for LLM calls, and generates and secures MCP servers for agents.

Enterprise MCP and AI gateway (MCPX) that secures and governs AI applications and agents with policy enforcement, cost management and observability. Boomi acquired Lunar.dev in July 2026.

Reverse proxy and management layer for MCP servers on Kubernetes, providing session-aware stateful routing and lifecycle management.

Open-source AI control plane and MCP platform that connects agents to MCP servers through one OAuth setup. It enforces policy on what agents can do and records full audit logs of tool calls and LLM…

Community-driven registry service and API run by the Model Context Protocol project, where publishers list MCP servers under namespaced, versioned entries for clients and downstream catalogs to dis…

Public directory of MCP servers, now part of Arcade.dev. Until 2026-10-31 it was also a connection layer (hosted MCP proxy, Connect, Toolbox, managed credentials, API, CLI and SDKs); those shut dow…

Multi-environment benchmark (ICLR'24) that evaluates LLMs acting as agents in multiple interactive environments, with code and data in the official repo.

Google DeepMind's AndroidWorld — 116 hand-crafted tasks across 20 real Android apps (Calendar, Files, Markor, Tasks, etc.). Evaluates LLM agents controlling a real Android device via accessibility …

Sample-efficiency benchmark protocol on Arcade Learning Environment (ALE) — agents limited to 100k environment steps (~2 hours of game-play) before evaluation. Introduced by SimPLe (Kaiser et al. 2…

Extends 20 bAbI reasoning tasks (fact chaining, induction, deduction, counting, lists) by scattering relevant sentences across PG-19 book text. Scales to 10M tokens. Tests whether models can chain …

BALROG (Benchmarking Agentic LLM and VLM Reasoning on Games) — 2024 benchmark suite covering NetHack, BabyAI, Crafter, MiniHack, TextWorld, Baba Is AI. Specifically targets long-horizon, partial-ob…

ICLR 2026 benchmark of 100 coherent conversations up to 10M tokens with 2,000 validated probes across ten memory abilities, including contradiction resolution and event ordering. It also proposes t…

Leaderboard that measures how accurately LLMs call functions (tools). It covers single-turn, multi-turn and agentic settings including web search and memory, plus hallucination and format sensitivity.

OpenAI benchmark that measures whether browsing agents can find hard-to-locate information that may require visiting tens or hundreds of websites.

Anthropic's public Twitch livestream of Claude (3.7 Sonnet → Claude 4 Opus) playing Pokemon Red. Agent uses screenshot vision + Game Boy controller actions + a scratchpad memory file the model can …

Danijar Hafner's 2D Minecraft-inspired benchmark — open-world survival with 22 hierarchical achievements (collect wood → make pickaxe → mine stone → ... → collect diamond). Procedurally-generated 6…

Google streaming benchmark for test-time learning: agents must search, adapt and update memory across task sequences. It implements 10+ memory modules on 10 datasets and introduces the ExpRAG and R…

Benchmark that crosses memory scope (in-episode vs cross-episode) with content (knowledge vs execution) and compares 15 memory methods with long-context baselines under one protocol. Traction: Stan…

Benchmark for general AI assistants made of real-world questions that require reasoning, multimodality, web browsing and tool use, with a public leaderboard on Hugging Face. Traction: ~917 likes on…

Meta AI's Habitat 3.0 — extends Habitat 2.0 with avatar humans, social tasks (navigate-while-following, rearrangement-while-not-blocking), and human-robot collaboration evaluation. Foundational for…

Benchmark that measures hallucination at each stage of an agent memory system (extraction, updating, QA) rather than only final answers; HaluMem-Medium/Long datasets have ~15k memory points and con…

DeepMind's Hanabi Learning Environment — a benchmark for cooperative multi-agent agents under partial observability and theory-of-mind. Players see each other's cards but not their own; success req…

Princeton NLP. 7 task categories — RAG with real retrieval, cited generation, summarisation, re-ranking, classification, many-shot ICL, long-document QA — at lengths up to 128K. Model-based evaluat…

Full-day hybrid workshop held April 27, 2026, Rio de Janeiro. Scope: episodic and semantic memory, working memory, parametric knowledge, KGs, vector DBs, retrieval pipelines, context management, lo…

300 items across three paradigms: procedural memory (one-shot skill retention after interference), priming (theme-driven response biases), classical conditioning (CS-US exposure shaping first decis…

Tsinghua / OpenBMB. First benchmark with average input >100K tokens. 12 tasks across English + Chinese: long novel QA, code debugging, math in long context, summarisation, retrieval. Realistic docu…

Conversations spanning up to 35 sessions / 300 turns / ~9K tokens, built from LLM-agent personas grounded on temporal event graphs and verified by human annotators. Tests QA (single-hop, multi-hop,…

Tsinghua THUDM. 21 datasets across 6 categories (single-doc QA, multi-doc QA, summarisation, few-shot ICL, synthetic, code completion) in English + Chinese. ~6.7K words English / 13.4K chars Chines…

5 core memory abilities — info extraction, multi-session reasoning, temporal reasoning, knowledge updates, abstention — via 500 curated questions in synthetic chat histories. Two scales: LongMemEva…

Renmin University. Evaluates LLM-agent memory mechanisms across three axes — effectiveness (accuracy), efficiency (LLM call count), capacity (degradation as memory grows). Distinguishes factual vs …

Diagnostic benchmark covering dynamic, static and conditional memory conflicts, with black-box answer and white-box retrieval/ranking metrics; it evaluates A-Mem, LangMem, Letta, MemOS, Mem0 and Me…

QA tasks across 7 domains / 36 risk types plus workflow tasks adapted from 20 Agent-SafetyBench environments with noisy tool returns; both use mixed benign-and-misleading memory pools in multi-roun…

HUST. Reconstructs existing datasets into incremental multi-turn dialogue chunks fed in time order. Plus EventQA (accurate retrieval) and FactConsolidation (selective forgetting). Targets retrieval…

Stanford Digital Economy Lab et al. Benchmarks memory in realistic Memory-Agent-Environment loops where tasks span multiple sessions and subtasks are explicitly interdependent — agents must distill…

Dataset and benchmark for generalist web agents with 2,350 language-instruction tasks on 137 real websites across 31 domains.

NVIDIA + Caltech open-ended embodied-agent benchmark on Minecraft. 3000+ programmatic + creative tasks across survival / harvest / tech-tree / combat / creative. Includes an internet-scale knowledg…

MineRL is a research project / competition series using Minecraft as a long-horizon RL environment. The flagship Diamond Challenge tasks an agent with obtaining a diamond from raw world — requires …

DeepMind / FAIR's NetHack Learning Environment — a Gym-compatible interface to NetHack, the canonical roguelike. Massive procedural state space, permadeath, deep item / skill interactions, ASCII pa…

Places a known sentence ("needle") at varying positions inside a long irrelevant document ("haystack") and prompts the model to retrieve it. Tests context lengths from 2K to model max. Greg Kamradt…

OpenAI's Gym Retro — wraps thousands of classic arcade games (Sega Genesis, NES, SNES, Atari 2600, Game Boy) as Gym RL environments via libretro emulators. Released 2018; powered the OpenAI Retro C…

Community benchmark suite for LLM agents playing Old School RuneScape, a sandbox MMORPG with deep partial-observability, skill-grinding loops, and economy interaction. Tests long-horizon planning (…

HKU NLP + Salesforce's OSWorld — full-desktop agent benchmark with 369 tasks spanning real applications (LibreOffice, GIMP, Chrome, VS Code, Thunderbird, Files) across Ubuntu, Windows, and macOS. T…

Pokemon Red has emerged as a community + academic benchmark for long-horizon agentic AI. Notable instances: Peter Whiddy's PokemonRedExperiments (RL via PPO + curiosity, viral YouTube series 2023);…

OpenAI's 16-game procedurally-generated benchmark for evaluating RL generalisation. Unlike Atari (fixed levels memorisable), every PROCGEN episode uses a different procedural seed → test-set genera…

NVIDIA. Extends NIAH with multi-needle retrieval, multi-hop entity tracing, aggregation, QA — configurable for arbitrary length / difficulty. Evaluated 17 long-context models on 13 tasks.

Microsoft Research's SmartPlay — LLM-agent benchmark on 6 games (Bandits, Rock-Paper-Scissors, Tower of Hanoi, MessengerEnv, Crafter, Minecraft). Tests 9 distinct capability axes including object u…

Conflict/update benchmark of 400 scenarios with 1,200 queries (up to ~150K tokens) testing whether agents notice that later facts implicitly invalidate earlier memories; the best model scores 55.2%…

Benchmark of real GitHub issues that coding agents must resolve with a patch, with official leaderboards for Verified (500 human-filtered instances), Lite, Multimodal and Multilingual.

Benchmark of agents completing hard tasks in a terminal environment, now at version 4.0, with a public leaderboard of model and agent pairs. It is hosted by Stanford, Harbor and the Laude Institute.

Microsoft Research's TextWorld — a sandbox for training and evaluating RL agents on text-based games. Procedurally generates interactive-fiction games of tunable difficulty (map size, quest length,…

CMU's WebArena — 812 hand-crafted web tasks across 6 self-hosted reproductions of real websites (Reddit-clone Postmill, GitLab, OneStopShop, CMS, Map, Wikipedia). Released ICLR 2024. Distinct from …

Sierra's benchmark of whether agents can converse with simulated users, call tools and follow policy in domains such as retail, airline, telecom and banking. τ²-bench adds dual-control environments…

Acquired by Proofpoint (closed 2026-02-12). Runtime enforcement targeting memory poisoning, unauthorised execution, identity spoofing per the OWASP LLM threat list. Visibility/control over MCP serv…

Applies guardrails at three points: (1) before write to vector DB, (2) before query reaches embedding model, (3) before response. Detects malicious instructions in stored memory before retrieval; s…

AI security platform with four modules: AI asset discovery, supply-chain/model integrity validation, continuous attack simulation, and runtime detection/response, including protection of agents and…

Developer-alpha encrypted, append-only knowledge store for humans and agents, with CLI/MCP access and scoped, expiring grants. Traction: Submitted via intake issue #181

Acquired by Check Point Software (completed by 2025-11-11); being folded into Check Point's AI security platform. Screens every prompt, response, and retrieved document for indirect prompt injectio…

Commercial Mem0 ships SOC 2 / HIPAA, zero-trust access controls, BYOK encryption, real-time monitoring, audit logs and workspace governance as defaults (Trust Center at trust.mem0.ai). For privacy-…

Cross-Model Verification Kernel (CMVK) requires majority-voting agreement across multiple model calls before a memory-influenced action. Agent OS package intercepts every action (memory included) a…

Open-source runtime defense. Enforces YAML policies on every memory read/write. SHA-256 baselines detect tampering, injection, sensitive-data leakage, protected-key modification, rapid-change anoma…

Bi-temporal knowledge graph preserves full lineage of every stored fact — every memory write traceable and auditable by graph schema, not bolted-on logging. SOC 2 Type II; HIPAA BAA available; BYOK…

When Mem0 is connected, gains Memory Operation Timeline, Search Analytics, Memory Growth tracking, Error Tracking per memory call. Standalone, records context at each step but doesn't analyse memor…

Acquired by Cisco (announced 2026-04-09, closed by 2026-05); now Splunk Agent Observability. Treats memory as first-class in multi-agent tracing. Luna-2 SLMs (3B / 8B) scan every interaction for in…

Acquired by ClickHouse (2026-01-16); product and MIT-licensed repo continue under the Langfuse name. Memory module reads/writes captured as named spans. Trace Log View concatenates every agent step…

Memory reads, vector DB retrievals, state changes are distinct span types in traces. RAG eval separates retrieval quality (context precision) from generation quality (faithfulness). Dataset version…

Only tool found that scans the persistent memory layer on disk rather than runtime tracing. Detects injected instructions, obfuscated payloads (zero-width Unicode, base64, homoglyphs, hex), C2-patt…

Founded 2022 by David Luan and fellow ex-OpenAI / Google researchers. Built ACT-1 / ACT-2 multimodal action transformers for computer-use. In June 2024 Amazon hired Luan and co-founders (Odena, Nye…

Commercial Enterprise tier of the CrewAI OSS multi-agent framework. Adds managed cloud runtime, RBAC, audit logging, SLA support, on-prem option. OSS CrewAI is in the Framework-embedded memory sect…

Founded 2017 as Generally Intelligent; rebranded Imbue 2023. Founders Kanjun Qiu + Josh Albrecht. $200M Series B 2023 ($1B valuation). Trained a 70B reasoning model, then shifted to user-owned AI t…

Red Hat / IBM-stewarded open-source framework for community-driven LLM alignment + fine-tuning (LAB method, IBM Research 2024; Granite models). Apache 2.0. Main CLI repo archived 2026-04-23 after a…

Lindy is a no-code multi-agent automation platform from Florent Crivello (ex-Teleport, ex-Twitter). Targets consumer / SMB segment with email triage, meeting scheduling, CRM-update agents. $50M Ser…

Microsoft Research's low-code GUI for prototyping multi-agent workflows on top of the AutoGen framework (not intended for production). Ships in the microsoft/autogen repo, whose README now says the…

Web-browsing agent API platform (MultiOn Agent API, docs still labelled Agent V1 Beta). Founded 2023 by Div Garg. As of 2026-10 www.multion.ai redirects to AGI, Inc. (theagi.company), which now mar…

Founded 2024 by Misha Laskin and Ioannis Antonoglou (ex-DeepMind). Pivoted from autonomous coding agents (Asimov) to open-weight frontier models: its first open-weight model Beam is a 501B-paramete…

Sema4.ai is the AI-agent rebrand of Robocorp (RPA / Python automation OSS). Funded by Benchmark, Canvas Ventures, Slow Ventures. Founded 2019 (as Robocorp); rebranded 2024. Positioned as enterprise…

YC W21 startup providing managed hosting + deployment for LLM agents — 'one-click deploy' for LangChain / agent code. Founded by Ted Benson (ex-Google Brain). Pre-seed + seed funded YC + Twin Ventu…

Tags + bidirectional links + task/calendar integration. "Task Score" priority matrix. AmpleAI plugin supports OpenAI, Anthropic, Gemini, Grok, DeepSeek, Ollama.

Folder + tag hierarchy; iCloud sync. Writing Tools (proofread / rewrite / summarise) across all note content; audio transcription + AI summary; smart search; reminders from to-dos.

Object-graph (people, books, projects as typed objects); daily notes; bidirectional links. AI chat grounded in current note; AI property auto-fill; in-editor writing assistant; pattern-finding acro…

Always-on 'personal AI OS' that indexes email, meetings, GitHub, Linear, Slack and assistant chats into a temporal knowledge graph with fact classification and intent-driven retrieval, plus MCP int…

Hierarchical block-based documents + nested pages (no native graph). In-document AI assistant: summarise, rewrite, translate, Q&A over docs, proofread.

Visual whiteboard canvas + nested cards + bidirectional links + journal. AI chat with cited sources inside whiteboards; supports OpenAI / Gemini / Anthropic backends.

AI assistant that builds a searchable memory from meetings (Zoom app), emails, documents, notes and web reading; answers questions, prepares client context and drafts content. Now marketed mainly t…

Open-source local-first outliner. Notes stored as Markdown / Org-mode on disk. AI integration via community plugins (e.g. logseq-ai for chatting with the graph). Graph view + backlinks; daily-journ…

Note-taking with no folders; AI-chat over notes. Focused on connections between notes rather than hierarchy.

Windows-native screen-recording memory. Continuously indexes activity across apps, documents, browsing; timeline UI for revisiting work. Distinct from Copilot Memory.

No tags, no folders, no manual organisation. Automatic image tagging, OCR search inside screenshots/memes, smart auto-grouping (Smart Spaces), semantic search. Privacy-first.

Notion's first-party AI. Reads up to 50 pages per query (as of Jan 2026); Custom Instructions persist brand voice / team structure / preferences. Context follows you across model swaps. Notably not…

Obsidian community plugin. Generates embeddings locally with a bundled model (TaylorAI/bge-micro-v2, 384-dim); chat with notes + see semantically related links. No API key required for local; suppo…

AI memory platform sold to telecom carriers: memory, identity and on-network inference that turn each subscriber identity on the network into an agent (products: My AI, Persona Studio, Memory Core;…

Daily-notes + backlinks note app now relaunched as Reflect Open: open-source, offline-first, notes stored as local Markdown files synced via iCloud or Git; optional AI with your own API key. Reflec…

Hierarchical outline + bidirectional links + spaced-repetition flashcards. AI auto-generates flashcards/quizzes from notes; AI summaries; fill-gap questions.

Auto-tagged flat notes; semantic clusters (no folders). "Skai" personal AI surfaces related notes, semantic search, cross-tool integration (Drive, Slack, Calendar). ADHD-focused.

Local-first 24/7 screen and audio recorder that indexes what you see/hear and exposes it as context/memory to AI agents (MCP, API); open-source Rewind/Recall alternative. Y Combinator S26

Infinite whiteboard + bidirectional-linked cards (spatial + networked hybrid). AI assistant for brainstorming, summarisation, rewriting selected cards.

Open-source system for training a local 'AI self' from your own notes and memories using hierarchical memory modelling, deployable as a personal agent on a network of Second Mes. #12 in TeleAI Awes…

Flat notecards + tags + collections; bidirectional references. AI tag recommendations, grammar suggestions, Vision (notecard editing assistant), Collection Creator.

Tana split in Mar 2026: the supertag-based outliner/PKM is now 'Tana Outliner' at outliner.tana.inc, while tana.inc is a separate agentic meeting platform sharing a knowledge graph. Outliner keeps …

Tencent's knowledge-management productivity AI, powered by Hunyuan. Copilot mode adds a four-module persistent memory architecture: Soul (agent persona), User (profile), Memory (long-term declarati…

Memory tool API + consumer "Memory" feature + Auto Dream consolidation. Document-as-memory rather than extracted-fact-as-memory.

Public-beta memory stores for Claude Managed Agents: workspace-scoped collections of text documents mounted into the session sandbox as a directory the agent reads and writes with its file tools; e…

AWS managed memory service for agents running on Bedrock AgentCore. Native integrations with LangChain/LangGraph and Strands. Drives long-running MCP servers + agent workloads.

Managed persistent memory service for AI agents on Cloudflare's edge. Private beta announced 2026-04-17. Sits alongside Workers AI / Vectorize as the memory tier of the Cloudflare agent stack.

Gemini app learns from past chats via the Personal context setting (on by default, can be disabled; temporary chats excluded). Users can import memories and full chat history from ChatGPT, Claude a…

Extracts and persists facts from past conversations; applies them to future responses. Per-memory deletion UI; user can also clear all. Announced by xAI's official Grok account on 2025-04-17 ('Grok…

Production memory infrastructure powering LinkedIn's Hiring Assistant and other GenAI apps. Three-layer (episodic/semantic/procedural) shared memory substrate across multi-agent systems; recent-con…

Meta AI remembers details users share in 1:1 chats (or asks it to remember) and uses them to personalise later replies; memory launched in Facebook, Messenger and WhatsApp in the US and Canada, wit…

Microsoft 365 Copilot memory (saved memories, chat-history details, custom instructions) stored in a hidden folder of the user's Exchange mailbox under mailbox compliance; on by default, admin-cont…

Fully managed long-term memory store built into Azure/Microsoft Foundry Agent Service that extracts user-profile facts and chat summaries and retrieves them across sessions — Microsoft's peer to Ag…

Mistral's Agents API provides persistent conversation state across turns and sessions; runtime maintains branching conversation trees. Memory is implicit in the stateful session model rather than a…

Le Chat is now Vibe; Mistral's help center describes Memories as a Vibe feature (article dated 2026-08-12). Memories in Mistral's consumer assistant: saves details on user request or automatically;…

First-party ChatGPT memory combining saved memories, reference to past chats, custom instructions and connected apps; 'improved memory' keeps an evolving summary (legacy list-style saved memories s…

Topic-organised shared memory layer under Perplexity Search, the Computer agent and possibly Comet; stores projects, decisions and sources, retrieves selectively per task, and exposes topics plus a…

Stores preferences and details (and optionally search history) to personalize answers, citing which memory was used; user controls in Settings → Memory. 'Brain' adds structured self-improving memor…

Google Cloud managed memory service, now 'Agent Platform Memory Bank' in Gemini Enterprise Agent Platform. LLM-based memory extraction/consolidation from sessions (background, multimodal, custom to…

Treats context and agent memory as an evolving 'playbook' that a generate→reflect→curate loop updates incrementally, avoiding brevity bias and context collapse. Reports +10.6% on agent benchmarks a…

Optimises context compression for long-horizon LLM agents.

Leverages cross-domain experience for agentic problem solving.

Open agentic framework that uses computers like a human.

Workflow-based memory framework component.

Agent that maintains a skill library and reconfigures its toolset per task — procedural memory of successful sub-task solutions.

Towards an efficient self-evolving agent system.

Long-horizon web agents with proactive context management.

Learning unified long-term and short-term memory management.

Extracts, stores, adapts, and reuses structured plan templates from planning stages of agent applications. NeurIPS 2025 poster.

Life-long personalisation of LLMs.

Global Workspace Layer combining low-rank explicit memory + bottleneck attention + Hopfield-style associative memory. Decouples memory from the Hopfield network via learnable explicit memory. Outpe…

Generalist agent enabling scalable agentic reasoning.

Self-evolving generative agent for agent generation.

Null-space-constrained knowledge editing for language models.

Replaces MLP layers with sparse cross-layer transcoders to produce "replacement models" where activations correspond to interpretable features; traces attribution graphs showing which features caus…

Episodic observations as timestamped vertices; LLM extracts relational triplets into a semantic knowledge graph; episodic edges connect semantic nodes — structural equivalent of hippocampal index b…

Associative Recurrent Memory Transformer. Stores tokens in Hopfield-style energy basins for constant-time pattern completion.

Long-term memory module that learns to memorise the context at test time. Omega rule (sliding-window update over all past tokens), polynomial feature mappings, Muon optimiser. Generalises to "DeepT…

Builds web agents with human-inspired web-browsing actions.

Thought-augmented reasoning with LLMs. NeurIPS 2024.

Constructivist view of agentic memory for reading comprehension.

Context-Dependent Memory framework. Three-stage encoding (expert / short-term / long-term) + graph-structured context-dependent indexing. NAACL 2025 Industry.

Comprehensive survey. ACM Computing Surveys 2025. Anchor reference for the continual-learning-of-LLMs subfield.

Scalable multi-agent framework for Windows UI task automation.

Cognitive-inspired memory-organised RAG for stateful narrative reasoning.

Maintains recent states in full resolution while compressing older memories with learned compression functions. DeepMind.

Tool creation for disentangling abstract and concrete reasoning. EMNLP Findings.

Enhances dialogue consistency via dynamic structured memory and reasoning.

Open-ended evolution of self-improving agents.

General reasoning agent with scalable toolsets.

DIffusion As a Model Of eNvironment Dreams. Trains an RL agent inside a diffusion-based world model — denoising diffusion generates high-fidelity environment rollouts rather than discrete latents. …

Encodes entire document corpora directly into Transformer parameters; the model itself becomes the index.

Hafner / Yan. Solves control tasks by training agents inside a fast, accurate world model.

Hafner et al. General world-model agent. Symlog observation, KL balance, RMSNorm, Block GRU.

System 1: fast retrieval path that pulls compressed, relevant memories and conditions generation. System 2: slow reflection pass that evaluates outcomes and writes curated updates back through a co…

Test-time learning with adaptive memory.

Enhances lifelong model editing with mixture-of-LoRA. AAAI 2025.

Uses Bayesian surprise detection to partition the cache into meaningful episodes for coherent retrieval.

Efficient Memory-Augmented Transformer. Encodes millions of QA pairs into key-value memory; MIPS search returns hits in sub-millisecond latency. EMNLP 2022.

Multi-agent RL with semantically coherent episodic buffer; selectively promotes desirable transitions to avoid local convergence.

DeepSeek + PKU. Introduces "conditional memory" alongside MoE's conditional compute. 27B-param N-gram lookup store offloads static knowledge from the transformer; O(1) lookup; prefetched from host …

Pink et al. — position paper. Uses CLS theory to identify five structural properties of episodic memory absent from current LLM agents: single-shot acquisition, temporal context, source binding, fl…

Kirkpatrick et al. Soft quadratic constraint pulls each weight back toward old values, scaled by importance for prior tasks. PNAS 2017.

LLM agents are experiential learners. AAAI 2024.

Cross-task generalisation by collecting and abstracting successful trajectories into insights for future tasks.

Synthesised LLM multi-agent system with conceptual verbal reinforcement.

Continuous agent evolution via forward learning from experience.

Replay scheduler inspired by the Ebbinghaus forgetting curve, plus intensity-aware regularisation to control replay strength. Mitigates catastrophic forgetting in LLM continual learning.

Tracing hierarchical memory for multi-agent systems.

Separates offline memory (lightweight Memorizer highlighting key facts) from online runtime (Researcher agent that queries the full raw page-store at inference). Inverts usual approach — keep full …

Park et al. — landmark agent-simulation paper. Reflection + memory stream + retrieval enable believable agent behavior.

Stanford's iconic memory-stream architecture for believable simulacra — observations + reflections + plans + retrieval by recency/importance/relevance. UIST 2023.

DeepMind. Foundation world model trained unsupervised on internet gaming video. Generates frame-by-frame controllable virtual worlds from text / image / sketch prompts. Spatiotemporal video tokeniz…

Heavy-hitter oracle for efficient generative inference. NeurIPS 2023.

Heavy-Hitter eviction policy for KV cache — retains tokens with cumulative high attention scores; up to 5× throughput.

Hierarchical hindsight reflection for multi-task LLM agents.

Symbolic indexing + hierarchical memory refinement + structured episodic retrieval, inspired by hippocampal mechanisms. Nature Scientific Reports 2025.

Co-activation strengthens associative edges (Hebbian Distillation); separate consolidation pass periodically extracts semantic summaries from the episodic graph — directly modelling slow-wave hippo…

Re-implements ACT-R's retrieval probability model — temporal decay, prior-access frequency, stochastic noise — as scoring on top of a vector store. Spreading activation over semantic similarity add…

Subquadratic alternative to attention — implicit long convolutions + data-controlled gating. Stanford. Ancestor of StripedHyena.

Meta. Self-supervised image learning by predicting target-block representations from a context block in latent space — no hand-crafted augmentations or pixel reconstruction. Foundation of LeCun's h…

Meta-tokens are learned vocabulary entries that act as placeholders for recurring token subsequences — the model is fine-tuned to understand compressed input where meta-tokens stand in for their co…

Inducing programmatic skills for agentic task enhancement.

Google. "Leave No Context Behind." Compressive memory inside the attention block + masked local + long-term linear attention.

Rethinks long-horizon agents via Markovian state reconstruction.

Open-world multi-task agents with memory-augmented multimodal LLMs. TPAMI 2024 . (Distinct from any other JARVIS.)

Real-time LLM personalisation based on human feedback.

IBM Research. Attaches a fast-learning distributed episodic memory (hippocampus-inspired) to a frozen LLM, enabling one-shot knowledge updates without retraining. Supports selective forgetting + in…

Few-shot mobile GUI agent with unified demonstration benchmark.

Modular procedural memory for multi-agent LLM systems.

Lightweight, efficient memory-augmented generation.

Neuro-symbolic architecture for manufacturing decision-making. Extracts ACT-R's procedural / declarative / goal buffers as latent neural representations, then injects them into trainable LLM adapte…

Large memory models — explicit external memory module within transformer.

Shift-short attention + LoRA fine-tuning that extends LLaMA context length cheaply — 100k tokens on a single GPU. ICLR 2024.

Trainable SideNet module selectively retrieves relevant cached key-value pairs from memory banks during decoding.

Generative agents for low-cost real-time social interactions.

Extends MemoryLLM with scalable long-term memory.

Multi-graph agentic memory architecture for AI agents.

Selective state-space model — input-dependent SSM with linear scaling; competitive with transformers at smaller scales. CMU.

Structured State-space Duality — Mamba-2 architecture that unifies SSMs and attention; 2-8× faster than Mamba-1. ICML 2024.

Memory-Augmented Transformer Using Heterogeneous Knowledge Sources. Unifies unstructured paragraphs + semi-structured QA pairs into fixed-length type-agnostic neural memories. Jun 2024.

Learning memory construction via reinforcement learning.

Learns to synergise memory and reasoning for efficient agents.

Reshapes long-context LLM with multi-conv RL-based memory agent.

Preserves memory states across dialogue turns for coherent long-term interactions. (Cited in survey but the paper's exact arxiv/venue identifier was not recoverable in a quick search — likely a les…

Fine-tunes LLM-agent behavior without fine-tuning the underlying model.

Meta-evolution of agent memory systems. Includes EvolveLab — a unified self-evolving memory codebase distilling 12 representative memory systems.

External key-value stores with similarity-based cache management; trained with Memory Replay Backpropagation.

Treats past optimisation gradients as memory registers for procedural computation. Distinct from the 2010.06891 "Memformer" above. (Survey citation — distinct paper identifier not recovered.)

Weaves generative latent memory for self-evolving agents.

Already in catalog as the foundational MemGPT paper. Note: Letta is the productionised successor (cross-listed).

Intent-driven memory selection for goal-oriented multi-session agents.

Autonomously augments semantic representations of historical interactions to improve retrieval quality without manual curation. Validated on conversational recommendation, QA, and event summarisati…

Retrieval Causal Attention actively prunes less important cached entries.

Distils expert adapters for on-device memory systems.

Stores raw conversational episodes without LLM-driven extraction, indexing at sentence level; retrieval expands nucleus matches into neighboring-context clusters to address the embedding-dissimilar…

Co-pilot alongside reasoning agent. Builds dependency graph over reasoning steps; prunes invalid steps, folds completed sub-trajectories, preserves compact high-salience backbone under fixed contex…

Tunes LLMs to use memos for consistent long-range conversation.

Reifies the reuse of user-AI conversational memories. CHI/UIST.

Resolves fateful forgetting through human-inspired memory architecture. Distinct from MatrixOrigin's commercial Memoria.

Architecture with external retrieval memory in the transformer.

Concise interface for real-time memory augmentation. CHI.

Autonomous context curation for long-horizon agentic tasks.

Pretrained, plug-and-play memory for LLMs.

Meta. Replaces dense feed-forward blocks with trainable key-value layers using product-key lookup.

Uses RL (PPO/GRPO) to train a Memory Manager that learns ADD/UPDATE/DELETE/NOOP operations and an Answer Agent that filters retrieved memories. Beats heuristic memory baselines on LoCoMo, MSC and L…

Three-tier memory model: implicit (weights), working (context), and explicit (compressed KV stored externally). 2.4B model competitive with 7B+ using explicit memory.

Language modeling with explicit memory. Landmark.

Enhances LLMs with long-term memory. Early influential paper.

Tsinghua THUIR. First benchmark covering both declarative and procedural memory for LLM systems. User-feedback simulation framework tests adaptive improvement. Distinct from Renmin's MemBench.

Augments a transformer with a fixed-size 1B-parameter memory pool distributed across all layers; new knowledge is injected by updating the pool parameters during inference, not via context extensio…

Explores agent procedural memory.

Closed-loop retrieval controller replacing single-shot retrieve-then-answer. Iterative router chooses between retrieve, reflect, answer; global evidence-gap tracker makes retrieval reasoning explic…

IBM Research. Memory-augmented LLM architecture for multi-hop reasoning. Iteratively re-reads a temporal latent memory with bidirectional GRUs until readout stabilises. NeurIPS 2024.

Self-evolving agents via runtime reinforcement learning on episodic memory.

Trains LLMs to reason, search, and manage memory via RL.

Optimises short-term memory management for dynamic tool calling.

Builds an LLM-driven hierarchical tree of facts; queries traverse the tree from root to leaves, balancing recall coverage with depth.

Multimodal memory system for lifelong learning agents.

Embedding-space memory consolidation — merges semantically similar memories without LLM arbitration to reduce storage cost.

Meta-programming for a multi-agent collaborative framework.

Manager stores compressed non-parametric search trajectories; Planner is a parametric memory agent producing search plans; Executor acts on plans. Planner evolves via test-time learning (on-the-fly…

Multi-agent memory system for LLM-based agents.

Language modeling with retriever-pretrained external memory.

Mixed memory-augmented generation for LLM applications.

Before test time, LLM reasons over unlabeled data and stores high-confidence intermediate thoughts as external memory. At test time, retrieves relevant stored thoughts to augment reasoning. No anno…

Boosts LLM agents with meta plan optimisation. EMNLP 2025.

Sakana AI. "An Evolved Universal Transformer Memory." Neural Attention Memory Models trained via evolution (overcomes non-differentiability of token-keep/discard).

Two complementary NAVER Labs Europe papers (Jan 2025). Provence fine-tunes DeBERTa as a sequence labeler to dynamically detect needed pruning amount per query and mask irrelevant context spans befo…

Self-organising agent memory inspired by cognitive science.

Pritzel et al. Agent stores past state-action-value tuples in a differentiable dictionary; recall via approximate nearest neighbour. ICML 2017.

First end-to-end pipeline translating natural language into executable Soar rules. Imports the full Soar production-rule cycle: working memory, operator proposal/application, chunking. LLM generato…

Interleaves sparse MoE layers with Mamba-2 layers; Mamba layers maintain a fixed-size recurrent state (constant memory during generation) rather than a growing KV cache. Attention layers use GQA wi…

Open agent social interaction simulations with one million agents.

Episodic simulation and memory for vision-language navigation.

Trains long-context models by simulating long positions with skip-wise positional encodings — avoids high training cost of true long sequences.

Planning- and retrieval-integrated memory for enhanced reasoning.

Synthetic strategy memory for proactive dialogue agents.

Pre-trains a large multi-task world model on offline data across many continuous-control tasks, then extracts task-specific policies by differentiating through the model with first-order gradient o…

Memory-enhanced model-based RL agent built on DreamerV3. Modifies S4 to handle long temporal dependencies. Keeps DreamerV3's generality.

Bridging memory retention and retrieval via reversible compression.

Efficient KV-cache compression through retrieval heads.

Google Research / DeepMind. Prompts LLM to segment long documents into "pages," compresses each to a short gist stored as episodic memory, re-reads original pages on demand at answer time. Pure pro…

Scales agent self-evolution with reasoning memory.

Bulatov / Kuratov / Burtsev. Adds memory tokens passed between segments — no architectural change to the Transformer.

Interactive generation of arbitrarily long text.

Language agents with verbal reinforcement learning.

Autonomous LLM-based agent for program repair.

Unlocks long-horizon search intelligence via context summarisation.

General read-write memory for large language models.

Retrospective LLM agents with policy-gradient optimisation.

Renormalization-group-based memory evolution for user profiles.

Uses tensor decomposition to exploit low intrinsic dimensionality and pixel correlation of stored exemplar images, achieving high compression while preserving discriminative information for class-i…

Local-first MCP architecture for RL coding agents that treats memory selection as a logged contextual decision process. Three MCP tools: issue_match (ranks candidates + records telemetry), issue_fe…

Combines forward-looking Prospective Reflection (multi-granularity summarisation into personalised memory bank) with backward-looking Retrospective Reflection (RL-driven retrieval refinement guided…

RWKV recurrent-LM family — linear-time, constant-memory inference; v7 ('Goose') is the SotA recurrent LM. Community-driven OSS, Linux Foundation hosted.

Social-network simulation system with LLM-empowered agents.

Self-evolving agents with reflective and memory-augmented abilities. Neurocomputing 2025 .

Continuous Thought Machines. Each neuron maintains its own history of incoming activations via private per-neuron weight parameters; the model operates along a self-generated "thought step" timelin…

Enhances LLMs with self-controlled memory framework.

Empowers LLMs with cognitive agency via active context management.

Novel activation approach for memory.

Self-evolving computer-use agent with autonomous learning.

Memory construction and retrieval for personalised conversational agents.

Encodes new experiences directly into the LLM's existing parameters by minimizing KL divergence between a teacher model (with context access) and a student model (without). Generates diverse QA pai…

Iterative self-feedback loop — LLM critiques its own output and revises; in-context experiential memory of the current task.

Dynamic regulariser driven by Wasserstein distance between task distributions; automatically relaxes or strengthens constraints in proportion to task similarity.

Sentence-graph memory for long-term conversational agents.

During prefill, value caches are offloaded to CPU and only low-rank pre-RoPE keys plus compressed landmarks and outliers are kept on GPU. During decoding, landmarks select chunk indices for key rec…

Efficient lifelong memory built from semantic structured compression into self-contained facts, online synthesis of related facts and intent-aware multi-index retrieval. Reports +26% F1 over Mem0 o…

Web agents self-improve by discovering and honing skills.

Agents use idle time to reorganize and pre-reason over stored context ('learned context'). Letta ships this as sleep-time agents (v0.7.0+), where a background agent manages the primary agent's core…

LLM knows what you're seeking before generation. NeurIPS 2024.

Soft chain-of-thought for efficient reasoning with LLMs. ACL 2025.

Attention-sink discovery — keep the first few tokens always cached; arbitrary-length inference with no fine-tuning. ICLR 2024.

Memory is a dynamic graph; retrieval fires spreading activation across edges rather than vector similarity. Lateral inhibition suppresses competing activations; temporal decay modulates edge weight…

Stanford's Test-Time Training layers — RNN-like hidden state is itself an inner ML model that updates at test time on the current input.

Two-tier: fast compressed summary index (Tier 1) + immutable raw-log store (Tier 2), with explicit provenance pointers linking summary units to source pages. Runtime sufficiency router escalates to…

Language models teach themselves to use tools.

Unified tool retrieval and calling via generation.

Facilitates LLMs mastering 16,000+ real-world APIs.

Enhances multimodal agents with learnable tool capability memory.

Extends context through segment-level recurrence + caching of hidden states from prior segments. Foundational long-context architecture.

Encodes procedural expertise using SVD decomposition with dynamic expert-vector blending.

Google. Feedback attention loop enables the model to attend to its own latent representations — emerges as working memory. No extra weights; integrates with pre-trained models.

Desktop AgentOS with memory-driven task automation.

Meta AI. Predicts masked spatio-temporal video patches in latent representation space rather than pixel space. Implicit world model without generative decoding. Released for self-supervised video r…

Meta. Self-supervised video model. Predicts in latent space (no pixel decoder); supports understanding, prediction, and planning downstream. June 2025.

NVIDIA lifelong-learning agent for Minecraft — automatic curriculum + skill library + iterative prompting. Foundational procedural-memory paper.

Structures web-scale evidence with dynamic outlines for research agents.

Rethinks knowledge memory for lifelong model editing. NeurIPS 2024.

Kruijne et al. RL-learned gating policies open/close multiple working-memory slots independently. Handles hierarchical 12-AX task with multiple concurrent context levels; all-or-nothing slot updates.

RoPE-extension method for context-length scaling — combines NTK-aware interpolation with attention scaling, requires only short fine-tuning. Widely adopted in OSS long-context models.

Treats memories as atomic linkable notes — explicit nod to Zettelkasten knowledge management. Dynamic linking; retroactive memory revision.

Hierarchical "OS" with Storage / Updating / Retrieval / Generation modules. Short-term → mid-term via FIFO dialogue-chain; mid-term → long-term via segmented paging.

Self-organizing memory OS for structured long-horizon reasoning. Three-phase model: episodic, semantic, reconstructive.

Dynamic Memory Network + Hierarchical Memory Manager + Self-Improvement Engine. L0 raw embeddings, L1 contextual summaries, L2 high-level principles. NeurIPS 2025 (Scaling Environments for Agents w…

Lightweight hierarchical graph (CogniGraph) with entities and relations as semantic indexing layers. Incremental graph construction, fast updates, low-latency inference. Nov 2025.

RAG framework on top of a long-context memory model. Builds global memory once, generates contextual clues at query time. TheWebConf 2025.

Treats memory as an OS-managed resource with explicit allocation and process-like scoping. MemCubes unify parametric, activation, and plaintext memory.

Spatial-metaphor memory (wings / rooms / halls) on top of verbatim chunked storage. Independent analysis suggests the score is driven by verbatim storage + ChromaDB defaults rather than the palace …

Temporal-Hierarchical Memory Consolidation. 5-layer Temporal Memory Tree (segments → profiles); semantic-guided consolidation without fine-tuning; complexity-aware recall planning + gating. Jan 2026.

Neural long-term memory module that learns to memorise at test time. Uses gradient-of-loss as "surprise" signal; adaptive weight-decay forgetting. Three variants: MAC (memory-as-context), MAG (memo…

Smaller classifier LM predicts query complexity, then routes to no-retrieval / single-step / iterative retrieval as appropriate. NAACL 2024.

Meta AI. Jointly fine-tunes retriever + LM for few-shot tasks. The facebookresearch/atlas repo is no longer maintained; the code is provided as is.

Applies AutoML to RAG: greedy algorithm evaluates and selects best-performing module at each pipeline stage (query expansion, retrieval, reranking, generation). Validated on ARAGOG (423 papers, 107…

Argues standard RAG breaks on bounded agent conversation streams (highly correlated, redundant spans). Decomposes the stream into semantic units, organises them into themes, then inverts that struc…

Single embedding model supporting dense, sparse, and multi-vector (ColBERT-style) retrieval simultaneously. 100+ languages, inputs up to 8192 tokens. Self-knowledge distillation across the three mo…

"Don't Do RAG." Preloads all relevant documents into context, caches the resulting KV state; at inference the model answers from cache with no retrieval step — eliminates retrieval latency + retrie…

Semantic chunking divides documents into coherent sections; LLM-based relevance scorer filters each chunk against the query before generation, pruning irrelevant chunks and reducing hallucination.

Lightweight retrieval evaluator scores docs and triggers different actions: use, supplement with web search, or discard. Decompose-then-recompose algorithm filters irrelevant content from retrieved…

Forward-Looking Active Retrieval. Uses model's low-confidence token predictions as signal to anticipate future information needs and retrieve proactively. Retrieves only when token probability fall…

Replaces chunk-retrieval with neuro-inspired generative memory. Operator maps observations to intermediate semantic structures; Reconciler integrates them into a persistent workspace with temporal/…

Retrieval-augmented fine-tuning for knowledge graphs on graph databases.

Modular graph-based RAG. Leiden community detection over knowledge graph; community summaries at multiple levels. DRIFT Search hybrid (Oct 2024). The GraphRAG repo is now largely in maintenance mod…

Hippocampus-inspired RAG. LLMs + knowledge graphs + Personalized PageRank to mimic neocortex/hippocampus roles. NeurIPS 2024.

OSU follow-on to HippoRAG — adds online updates, recall-precision tradeoff calibration, and multi-hop reasoning improvements.

Multi-layer knowledge graph: higher layers hold coarse summary entities improving connectivity between similar lower-layer entities (HiIndex). HiRetrieval traverses across granularity levels.

LLM generates a hypothetical answer document; embeds that instead of the query. Closes the query-document semantic gap for retrieval. arxiv 2212.10496.

Uses model's generated output as a rich context signal for the next retrieval round rather than just the original query. Processes all retrieved knowledge as a whole, preserving generation flexibil…

Knowledge-Augmented Generation. LLM-friendly KG representation + mutual indexing between KGs and raw chunks + logical-form-guided hybrid reasoning. Handles numerical / temporal / multi-hop chains t…

Performs minimal up-front indexing; defers LLM use until query time. Announced Nov 2024; per a Microsoft Research editor's note (2025-06-06) it ships inside Microsoft Discovery (Azure agentic scien…

Hong Kong U graph-RAG variant — dual-level retrieval (local + global) over an entity-relation graph built incrementally from corpus updates.

Entity-relationship graph + broader-theme retrieval. Incremental update support. Integrates with RAG-Anything for multimodal docs.

Groups related Wikipedia documents into 4K-token units. Reduces NQ corpus 22M→600K units, HotpotQA 5M→500K. Hands longer passages to a long-context reader (GPT-4o).

Cognitive memory engine modelled on biology that presents itself as a new paradigm for graph RAG for agents. #13 on GitHub agent-memory topic

RAG variant with a long-context global memory model that drafts answer clues used to guide passage retrieval — improves recall in noisy multi-hop QA.

Uses transformer multi-head attention activations (not decoder-layer embeddings) as retrieval keys, yielding multi-aspect embeddings that independently capture different semantic facets for heterog…

Retrieves over an indexed graph by pruning candidate relational paths — reduces noise in graph-RAG vs flat path expansion.

Retrieves key relational paths from knowledge graph; flow-based pruning + reliability scoring; path-based prompting. Outperforms baselines on six datasets. arxiv Feb 2025.

UC Berkeley. Trains the model to ignore distractor documents and quote the relevant text in chain-of-thought.

Stanford recursive-summarisation tree over the corpus — clusters and summarises documents into a hierarchical index; retrieves at multiple levels. ICLR 2024.

Recursively embeds, clusters, and summarises chunks into a tree of abstractions. Retrieval traverses the tree at query time. ICLR 2024.

Foundational paper. Augments LM pre-training with a latent knowledge retriever — model retrieves and attends over Wikipedia-scale corpus during pre-training, fine-tuning, and inference. Backprop th…

DeepMind. Retrieval-Enhanced Transformer with chunked cross-attention over a 2T-token retrieval database. Frozen BERT retriever + differentiable encoder.

End-to-end RL-trained RAG. Token-level policy chooses when to retrieve and which mode (text / KG / hybrid via RRF). Two-stage Group-Relative Policy Optimisation (GRPO). No public repo at time of wr…

Trains an LLM end-to-end to emit reflection tokens that decide whether to retrieve, assess passage relevance, and critique output quality — all within a single model.

Smaller distilled specialist generates multiple RAG drafts in parallel from distinct document subsets. Larger generalist verifies in a single pass. Subsets formed by content-similarity clustering t…

Identifies optimal structure (table, catalog, algorithm, graph) per task; converts source documents into that structure at inference time and reasons over the structured form. Motivated by cognitiv…

Frames RAG as Turing-complete with explicit monitored state variables, enabling adaptive retrieval halting and convergence control. Medical-LLM case study.

Domain KGs + multi-stage web-page retrieval (sparse + dense) + LLM self-assessment of trustworthiness before finalising answer.

Norway / US humanoid robot company — Eve (wheeled bimanual) + Neo (legged humanoid, consumer-targeted, late 2025 / 2026 launch). Raised $100M Series B (Jan-2024, EQT + OpenAI Startup Fund); $40M Se…

Oregon-based humanoid maker; Digit is in production at GXO Logistics warehouses since Sep-2024 — claimed first humanoid in commercial service in the US. Spinout of Oregon State University. $400M+ r…

Apollo humanoid maker, spun out of University of Texas Human Centered Robotics Lab. Raised $350M Series A (Feb-2025; B Capital + Capital Factory); Mercedes-Benz manufacturing partner (Mar 2024). Pa…

Founded 2022 by Brad Porter (ex-Amazon Robotics VP + Scale AI CTO). Stealthier than the humanoid pack; raised $100M Series B Apr-2024 (General Catalyst). Targets warehouse + healthcare collaborativ…

Pieter Abbeel / Peter Chen-founded robotics FM company — built RFM-1 (Robotics Foundation Model, Mar 2024) for warehouse pick-and-place. In Aug 2024 Amazon took a non-exclusive license to its robot…

Figure AI — humanoid robot maker founded 2022 by Brett Adcock (ex-Archer Aviation). Figure 02 (Aug 2024) + Helix VLA model (Feb 2025) for full-body / hand control. Raised $675M Series B Feb-2024 (M…

Google DeepMind's Gemini Robotics + Gemini Robotics-ER (Embodied Reasoning) released Mar-2025. VLA models built on Gemini 2.0 backbone. Reference platform: Apptronik Apollo. The DeepMind line of ro…

Hugging Face's open-source robotics platform — datasets, baselines, training code for imitation learning + diffusion policy + ACT. Launched May 2024; growing rapidly with community contributions (H…

Open-source humanoid robot maker — K-Scale OS (Kos), Stompy and KBot humanoids. YC W24. Pitched as the 'open-source humanoid' alternative to Figure / Tesla — full hardware + software OSS.

NVIDIA Project GR00T (Mar-2024) — general-purpose humanoid foundation model + Isaac simulation stack + Jetson Thor compute. GR00T N1 model released open March 2025. NVIDIA's full-stack play: model …

OpenMind — open robot OS (OM1) + FABRIC interconnect, founded by Jan Liphardt (Stanford). Pitched as the 'Android of robots': any humanoid + any LLM + the same OS layer. Raised $20M Series A (Pante…

Founded 2024 by Sergey Levine (UC Berkeley) and Karol Hausman + others (ex-Google Brain Robotics). Building general-purpose robot foundation models (π0 released Oct-2024; π0.5 in 2025) trained on c…

MIT spinout focused on truck-unloading robots — autonomously empties truck trailers. Raised $50M Series B (Mar 2024, Tiger Global + others). Narrow focus but production deployments at major logisti…

Vancouver-based Physical AI company, founded 2018; originally built the Phoenix humanoid, and since 2026-06 deploys hardware-agnostic Physical AI on existing commercial industrial robots (Tier 1 au…

Toyota Research Institute's robotics group — published Large Behavior Models (LBMs) Sep-2023 + diffusion-policy / behavior-cloning at scale. Industrial-research lab with Toyota's manufacturing-data…

Search-as-a-service API for instant search experiences — NeuralSearch (vector) + lexical. Adopted by 12000+ companies including LVMH, Stripe.

AWS-led fork of Elasticsearch 7 — Apache-licensed; k-NN plugin, OpenSearch ML, neural-search. Substrate beneath AWS OpenSearch Service.

Open-source distributed search engine for logs/traces — cloud-native (object storage as primary tier). Acquired by Datadog 2024.

Site-search platform (formerly Sajari) with the Neuralsearch vector engine. Acquired by Algolia in September 2022 and folded into Algolia's hybrid search; search.io now redirects to algolia.com.

Supabase's managed pgvector — combined Postgres + vector store; popular default for OSS LLM apps. Supabase $80M Series C 2024.

Rust port of Lucene — embedded full-text search engine. Underlies Quickwit, Lnx, Bayard. Used in Meilisearch and many in-process search engines.

Open-source search engine focused on typo-tolerance and ease of use — Typesense Cloud commercial; rising Algolia alternative.

Yahoo Japan's open-source distributed vector search engine — built on NGT; Kubernetes-native; horizontal scaling.

"+1 for 'context engineering' over 'prompt engineering' … the delicate art and science of filling the context window with just the right information for the next step." The LLM is "a coworker with …

Endorses "context engineering" as a distinct discipline from prompt engineering — what agents do with their context window (routing, compression, tool output formatting, memory retrieval injection)…

"Application context tends to expand to fill the context limits supported by the model." Treats agent memory as a first-class unresolved design problem rather than a solved component; explicitly de…

Traces the shift from weights-as-capability to harness-as-capability; analyzes memory, skills, and protocols as three coupled forms of externalization and examines how they interact. Memory is defi…

Coding agents (Claude Code, Cursor) converge on the filesystem as their primary memory abstraction: conversation histories as searchable files, skills as files, retrieval via file search rather tha…

"Agent = LLM + memory + planning + tools." Maps cognitive memory types to LLM machinery: sensory (learned embeddings), short-term / in-context (the context window), long-term (external vector store…

Eight-quadrant classification grid across personal/system, parametric/non-parametric, and short-term/long-term axes. Bridges cognitive-science memory taxonomy to LLM architecture choices, less comm…

Six-module cognitive architecture (perception, world model, cost, memory, action, configurator). Memory is a distinct addressable module with its own update rules, separate from the world model tha…

LLM is "the kernel process of a new Operating System" orchestrating I/O, code interpreter, browser, and an embedding store for files / internal memory. Context window = RAM; embedding store = files…

Operationalises the kernel analogy: 256-core processor at 20 Hz (tokens/sec), RAM = 128K tokens of context, filesystem = Ada-002 embedding store. Memory capacity becomes a measurable architectural …

Three-layer directory: raw/ (immutable sources), wiki/ (LLM-maintained compiled pages), CLAUDE.md (schema). LLM reads sources and integrates them into the wiki — updating pages, resolving contradic…

Argues that companion AI knowledge systems must treat memory as a continuous metabolic process rather than a static store. Proposes a three-tier store (raw buffer, active wiki, cold memory) governe…

Agent persistent memory is an attack surface: an adversarial document in the environment can instruct the agent's memory tool to write malicious facts, poisoning the long-term store. The more capab…

On-policy RL is naturally more resistant to catastrophic forgetting than supervised fine-tuning — its online nature biases learning toward low-distribution-shift updates. Proposal: RL post-training…

Hugging Face's abstraction over distributed-training backends (DDP, FSDP, DeepSpeed, Megatron). Minimal code change to scale a PyTorch script.

Open-source data-quality platform for LLM training data — human-in-the-loop labelling, RLHF data collection, dataset curation. Acquired by Hugging Face 2024.

AWS's managed ML platform — Studio, Training, HyperPod (large-scale clusters), Endpoints. Industry-standard for enterprise AWS-hosted training.

Open-source LLM fine-tuning library — single YAML config drives full / LoRA / QLoRA / DPO training across most popular base models.

Microsoft Azure's managed ML platform — pipelines, AutoML, Designer, prompt flow (LLM). Heavy integration with Azure OpenAI and Azure AI Studio.

Open model that generates instruction-tuning data conditioned on unstructured text — adapts pretrained LLMs to specialised tasks without manual labels (Brown Univ).

Distributed PPO/IMPALA reference implementations from CleanRL author — research-friendly, reproducible. README states the repo is intended for archiving purposes, with future maintenance in CleanRL…

Open-source ML experiment tracking, orchestration, and data management. Allegro AI commercial; widely used in research labs.

HPC-AI Tech's distributed training framework — ZeRO + tensor/pipeline parallel + heterogeneous training (CPU offload). HPC-AI raised $50M.

ML experiment tracking + LLM evaluation platform (Opik for LLM eval). Comet competes head-to-head with Weights & Biases.

Open-source training library from MosaicML (Databricks) — Trainer + recipes for fast convergence; underlies the MPT model training stack.

Data orchestrator with first-class ML pipeline support — software-defined assets model; competes with Airflow/Prefect for ML pipelines. Acquired by Prefect (announced 2026-07-13); Dagster continues…

Microsoft's distributed-training library — ZeRO optimizer states/grads/params partitioning; ZeRO-Inference for serving. Foundation under many OSS LLM training stacks.

Argilla's framework for synthetic data generation — pipelines of LLM steps that produce SFT/DPO training data; integrates with Hub.

Stanford method that converts RLHF into a supervised-learning loss over preference pairs — no separate reward model needed; widely adopted alignment recipe.

Open-source data and ML model version control — git-like commands for datasets/models stored in cloud blob storage. Created by Iterative.ai; the project was acquired by lakeFS (Treeverse) in Nov 20…

Kubernetes-native workflow engine — type-safe Python tasks; Lyft origin; Union AI commercial. Strong adoption in regulated industries.

Native PyTorch fully-sharded data parallel implementation — Meta's response to DeepSpeed ZeRO; FSDP2 in 2024 with improved API.

Google Cloud's managed training service — TPU and GPU clusters, hyperparameter tuning, model registry. Part of Vertex AI umbrella. Vertex AI is now branded Gemini Enterprise Agent Platform (Gemini …

DeepSeek-Math's GRPO — group-relative advantage estimation replacing PPO's critic. Used in DeepSeek-R1 reasoning post-training; widely adopted in OSS reasoning RLHF.

Library for accessing and processing 100k+ public datasets on the Hub. Apache Arrow-backed; default dataset layer for the open ML ecosystem.

Open-source data-labelling platform supporting text, image, audio, video, time-series. Commercial Enterprise edition + Cloud (HumanSignal).

Originally an enterprise data-labelling platform (annotation tools plus expert RLHF data for frontier labs). By 2026-10 it sells Horizon reinforcement-learning environments (WorldSim) to frontier A…

Git-like branching, commits and rollback for object-store data lakes (S3/GCS/Azure). Built by Treeverse, which also acquired DVC in Nov 2025. The Community edition is source-available under BSL 1.1…

Unified efficient fine-tuning of 100+ LLMs — SFT, DPO, PPO, KTO, ORPO with LoRA/QLoRA/full; CLI + WebUI. Popular in the Chinese OSS scene.

Microsoft Research's Low-Rank Adapters method — trains rank-r matrices added to attention weights; 10000x parameter reduction. Foundation of all adapter-style fine-tuning.

PyTorch-library form of Megatron-LM — distributed training building blocks (tensor/pipeline/expert parallel) packaged for embedding into custom training stacks.

NVIDIA's reference framework for training large transformer models with tensor, pipeline, sequence, and expert parallelism. Underpins many frontier-lab training stacks.

Databricks-incubated open platform for ML lifecycle — tracking, projects, models, model registry. Standard ML-ops baseline. MLflow 3.0 (2024) added LLM-eval features.

NVIDIA's open synthetic-data generation pipelines (HelpSteer2, NemoSkills, Nemotron-4 340B). Used by frontier labs to bootstrap RLHF reward modeling data.

Distributed RLHF training framework built on Ray + DeepSpeed + vLLM — supports PPO/DPO/REINFORCE++/GRPO. Targeted at 70B+ models with efficient sample throughput.

Commercial platform behind Metaflow (originally Netflix OSS) — ML workflow orchestration with managed compute. Acquisition by Anaconda announced 2026-04-29; now marketed as AI Orchestration in Anac…

Data-versioning and pipeline platform — Pachyderm File System tracks lineage across pipeline runs. Acquired by HPE in 2023.

Hugging Face's PEFT library — LoRA, AdaLoRA, IA3, Prefix Tuning, P-Tuning. Standard interface for adapter-style fine-tuning.

Python-native workflow orchestrator — widely used for ML pipelines and ETL. Prefect Cloud + open-source Prefect Core.

4-bit quantized LoRA fine-tuning — train 65B models on a single 48GB GPU. UW (Tim Dettmers).

Ray's distributed training library — multi-node PyTorch/TF jobs; integrates Ray Tune and Ray Serve. Used at scale by OpenAI/Uber/Anyscale.

Allen AI's research library for RL training of language models — NLPO algorithm, NLP-task RL benchmarks; predates the TRL/OpenRLHF surge.

Research codebase for RLHF reward modelling — pairwise / Bradley-Terry / pointwise reward heads; release of RewardBench-winning models.

End-to-end computer-vision platform — dataset hosting, annotation, training, deployment. Universe public-dataset library; widely used for production CV.

ETH RSL's lightweight PyTorch RL library — optimised for GPU rollouts in robotics simulation (Isaac/MuJoCo). Used in many legged-robot RL papers.

Data-labeling powerhouse for AI training — RLHF data, fine-tuning corpora, frontier-lab partnerships. Meta made a strategic investment in 2025-06 for a minority stake (Scale's own post gives a valu…

AI data company spun out of Stanford Snorkel weak-supervision research; now sells expert-built training datasets, RL environments, benchmarks and evals to frontier AI labs (Snorkel Data Series, cus…

PyTorch implementations of RL algorithms (PPO, SAC, DQN, etc.) — research-grade reliability; widely used as a reference benchmark.

Premium human-labelling company specialised in RLHF data and difficult expert tasks — Surge prides itself on bootstrapped, no-VC; major frontier-lab supplier.

Pure-PyTorch library for fine-tuning LLMs — Llama/Mistral/Phi/Gemma recipes; native FSDP2 + memory-efficient training. From Meta PyTorch team. Per its README, torchtune is no longer actively mainta…

Hugging Face's open-source library for fine-tuning and aligning transformer models with RLHF, DPO, ORPO, KTO and PPO trainers. The default RLHF stack on top of HF Transformers.

Fast and memory-efficient LLM fine-tuning library — claims 2-5× speedup, 60-80% memory savings on a single GPU vs HF baseline through custom Triton kernels.

ByteDance Volcano-Engine's open RLHF framework — flexible HybridFlow architecture; supports PPO/GRPO at large scale.

Experiment-tracking and ML-ops platform (metrics, artifacts, sweeps, Weave tracing/evals). Acquired by CoreWeave (completed 2025-05-05, ~$1.7B); now part of CoreWeave Forge.

Open-source ML pipeline orchestration framework — connects sklearn/PyTorch/HF pipelines to MLflow/W&B/cloud infra. Pivoting toward LLM-ops.

Founded 2022 by Hasan Sukkar; AI sales agents Alice (outbound SDR), Mike (voice SDR), Jordan (RevOps). $50M Series B Oct-2024 (Benchmark + Andreessen Horowitz; $350M val). Among the most-discussed …

Founded 2013; ABM/intent platform with Revenue AI agents. $200M Series E Jan-2022 ($5.2B val; Blue Owl). 6sense Revenue AI agents launched 2024 — autonomous account research + email drafting.

Agent-driven runtime for testing web, Android, and iOS user flows from YAML, with a local dashboard, CLI/MCP control, and recorded evidence. Traction: Submitted via intake issue #182

Founded 2010; AI-driven market intelligence — semantic search over earnings calls, broker research, regulatory filings. $4B val Jun-2024 ($650M growth round; BDT + MSP). **Acquired Tegus Jun-2024 f…

Founded 2019 by ex-Yahoo CISO Karthik Kannan; AI-driven detection-engineering platform. $45M Series C Jul-2024 (Evolution + G Squared; ~$200M val). Forge is the AI agent that auto-generates SIEM de…

Founded 2023 by Tomer Avni + Matan Getz (ex-Microsoft); generative-AI security platform spanning red-teaming, DLP, and runtime. $7M seed Apr-2024 (Sequoia + Index Ventures).

Founded 2015 (rebranded from ZenProspect); GTM platform — prospecting database + outreach + AI. $100M Series D Aug-2023 ($1.6B val; Bain Capital Ventures + Sequoia). $200M+ ARR; Apollo AI launched …

Founded 2014; enterprise audit + GRC platform — 60%+ of Fortune 500 customers. **Acquired by Hg for $3B Jun-2024** (private-equity take-private). AI features added 2024 — auto-population of audit w…

Dublin / NYC founded 2018; GenAI security and content scanning. $23M Series A-1 Aug-2024 (Paladin Capital + Lockheed Martin Ventures). Pivoted from defence ML to enterprise GenAI guardrails 2023-24.

Cross-listing: Causaly already exists in Scientific / research AI memory. This row adds the use-case agent harness framing: London-based biomedical-research AI for drug-discovery teams. $60M Series…

Founded 2017; GTM data orchestration — combine 100+ data sources, enrich, AI-draft outbound. $46M Series B Jan-2024 (Sequoia + Boldstart + Box Group); reported $40M+ ARR mid-2024; viral with growth…

Founded 2023; autonomous AI SRE that investigates Kubernetes + cloud-native alerts end-to-end. $10M seed Apr-2024 (Greylock + Innovation Endeavors). Direct competitor to Resolve.ai in the AI-SRE wave.

Coalfire is the largest specialist-cybersecurity-services firm in the FedRAMP/PCI/HITRUST space. Apax Partners acquired majority stake 2020. Launched AI-augmented assessment services 2024 — pentest…

Founded 2020; community intelligence platform that ingests GitHub, Slack, Discord, X, LinkedIn signals + maps them to people/companies; AI agent surfaces sales-ready signals. $32M Series B Mar-2024…

Founded 2020 (YC W21); AI-driven retail algorithmic-trading — composable strategies + LLM strategy builder. $14M Series A May-2022 (Greycroft + Y Combinator). Composer GPT + strategy-builder AI lau…

$25M Series A Jan-2025 (Menlo Ventures + Tola Capital + Pelion); founded by Monzy Merza (ex-Splunk CSO). 'Knowledge engine' that does autonomous investigation across SIEM data. Pitched as the AI an…

Datadog's AI-assistant for observability — incident summarisation, root-cause hypotheses, runbook automation. Bits AI launched Aug-2023, GA 2024 across the Datadog suite. Datadog parent: $2.7B+ rev…

Founded 2006; ABM platform with intent + AI. $175M growth round Apr-2021 ($1B val; Vista Equity). Demandbase One Smarter GTM AI launched 2024 — buyer-stage scoring + auto-personalised outbound.

DocuSign's IAM platform (launched 2024) adds AI extraction, clause analysis, and workflow automation atop the eSignature core. Acquired Lexion Jun-2024 ($165M) to consolidate the AI-CLM stack. Docu…

Founded 2021 by James Ding (ex-Allen & Overy); drafting + benchmarking AI agent that lets transactional lawyers see historical deals. $20M Series A Apr-2024 (Index Ventures + Y Combinator); ex-A&O …

Founded 2020; compliance automation (SOC 2, HIPAA, GDPR, ISO 27001) with hundreds of pre-built control libraries. $200M Series C Mar-2024 ($2B val; ICONIQ + GGV + Cowboy). Trust Hub launched 2024; …

Autonomous SOC analyst agent — investigates Tier-1 SIEM/EDR alerts end-to-end. $16.85M Series A Aug-2024 (Theory Ventures + Decibel). Founded by Edward Wu (ex-ExtraHop). Targets the 60%-of-alerts-g…

Founded 2020 by Abi Noda; engineering-productivity intelligence (DORA + SPACE metrics) with AI-driven analysis. $14M Series A Apr-2024 (Notable Capital). Differentiates with research-rigour metrics…

Dynatrace launched Davis CoPilot Sep-2023 — GenAI conversational interface on top of the (deterministic) Davis AI engine, the largest causal-AI observability deployment. Dynatrace parent: NYSE:DT, …

Founded 2021 by Dimitri Stiliadis + Varun Badhwar (ex-Palo Alto Networks Prisma Cloud); reachability-aware SCA with AI for triage. $70M Series A Oct-2023 ($200M val; Lightspeed + Coatue + Dell Tech…

OSS (Apache 2.0) LLM vulnerability scanner — 'nmap for LLMs.' Originally Leon Derczynski (Univ Sheffield / ITU Copenhagen); NVIDIA now stewards the project. Tests for jailbreaks, prompt injection, …

London-based legal AI for businesses — contract drafting, review and AI legal agents (first agents Jan-2024). $17.8M Series A Jun-2023 led by GV and Khosla Ventures; rebranded as 'The Global Legal …

GitHub's CodeQL-powered auto-fix for code-scanning alerts; combines static analysis with Copilot model suggestions to generate patches for vulnerabilities. Launched Mar-2024 (public beta), GA Aug-2…

Founded 2015; the largest conversation-intelligence/revenue-intelligence platform. $7.25B val 2021 ($583M raised); Gong AI (Smart Tracker, AI Forecast, Gong Engage) 2024. Considered category-defining.

HackerOne's AI-augmented offensive security service — Hai is an LLM-assisted triage/research copilot for hackers, plus a productised 'AI red-team' service connecting customers to skilled human red-…

Founded 2020 by George Sivulka (ex-Stanford); Matrix is its enterprise research agent — multi-step research across documents. $130M Series B Jul-2024 ($700M val; Andreessen Horowitz + Index + Googl…

Founded 2019 by Snehal Antani (ex-CTO US SOCOM J6) + ex-NSA team. NodeZero is autonomous pentest — finds + exploits + verifies exploitability. $100M Series D Mar-2024 (NEA; $750M val); >300% YoY re…

HubSpot Breeze (launched Sep-2024) is the AI brand spanning Breeze Copilot (assistant) + Breeze Agents (autonomous content/prospecting/social/customer agents). HubSpot parent: NYSE:HUBS, $2.6B+ rev…

Founded 2018; compliance-operations platform — pre-built frameworks + workflow automation. $40M Series B Dec-2022 (Riverwood Capital + Toba + Madrona). AI agent layer added 2024. Targets enterprise…

Standalone trust-center + AI-questionnaire-fill product from Hyperproof. Listed separately because the trust-center category is a distinct sub-market (Vanta, Drata, Hyperproof, SafeBase, ConveyorAI…

London-founded incident-management platform — Slack-native, fast-growing. $62M Series B Sep-2024 (Insight Partners + Index; $400M val). AI features (auto-summary, auto-postmortem, suggested-runbook…

Oslo-founded 2015; scientific research engine + AI agent for R&D. Bootstrapped + small angel rounds; broader European AI scene. Differentiates with explainable / hallucination-free claims.

Ironclad's AI agents inside its CLM (contract lifecycle management) platform. Ironclad parent: $200M+ ARR; backed by Accel, Sequoia, YC, BOND. AI features include auto-redline, review, and contract…

Tel-Aviv-founded LLM security platform — adversarial testing, prompt-injection defence, data-leakage prevention. $6M seed Nov-2023 (Entrée Capital + Samsung Next).

Founded 2020; AI email coach for sellers — Gmail/Outlook plugin scores and rewrites cold outbound. $13.2M Series A Sep-2022 (Norwest Venture Partners + LIONS Capital). $10M+ ARR reported.

Founded 2017 by Tom Martin (lawyer + technologist); LawDroid Copilot serves solo and small-firm lawyers — drafting, research, client intake automation. Bootstrapped + small angel rounds. Marketed a…

Stockholm-founded (2023) legal agent platform — drafting, review, research. $35M Series B Nov-2024 (Iconiq + Redpoint + Y Combinator; $675M val). Targets EU firms with data residency; pitched as 'E…

Seoul-founded Liner — started as web-highlighter (2015), pivoted to AI research assistant 2023. $40M Series B Jul-2023 ($350M val; Salesforce Ventures + DSC Investment + Beenext). 10M+ users.

Founded 2023; AI-agent platform for financial analysts — multi-step research, data cleansing, model-building. Small seed round; competes in the AlphaSense / Hebbia / Rogo broader space at lower pri…

Litera (Hg-backed; 50%+ of AmLaw 200 customers) added a Litera AI overlay 2024 — drafting, redlining, document analytics. Litera parent has been a private-equity rollup of legal-tech (Microsystems,…

Founded 2015; GRC platform (Risk Cloud) — flexible policy engine + workflow + risk register. $113M Series C Dec-2021 (PSG + Silversmith). AI features (auto-policy mapping, issue triage) added 2024.

Lancaster-University spinout; continuous automated AI red-teaming SaaS. $8M seed/A Jun-2024 (.406 Ventures + Atlantic Bridge). Founded by Prof. Peter Garraghan.

New Relic's AI agent — natural-language NRQL queries, error summaries, error-grouping. Launched late-2023. New Relic parent: taken private by Francisco Partners + TPG for $6.5B Nov-2023.

Numerai is a crowdsourced AI hedge fund — data scientists submit predictive signals + are paid in NMR (cryptocurrency) based on signal performance. Numerai Signals is the global-equities tournament…

Founded 2010; GRC + business-process automation. Adds AI agent (Sophia) 2024 — natural-language workflow building + automated control assessment. Bootstrapped + small minority growth equity.

Cross-listing: OpenAI Deep Research, launched Feb-2025 inside ChatGPT, is OpenAI's flagship long-horizon research agent (o3 base model). Distinct from the OpenAI Codex / Computer Use rows because t…

Founded 2021 by Didier Lopes; OSS investment-research platform — Bloomberg-Terminal-alternative. AGPLv3 + commercial OpenBB Pro. $11M seed 2022 (OSS Capital + Y Combinator). AI agent (OpenBB Copilo…

Founded 2014; AIOps platform — hybrid + multi-cloud observability with AI event correlation. **Acquired by HPE Jul-2023** (terms undisclosed; reported ~$200M+). AI agent features now integrated int…

Outreach (the largest sales-engagement platform; $4.4B val 2021) has added AI features: Smart Email Assist, Smart Account Plan, Smart Forecasting, Kaia conversation intelligence. Strategic pivot to…

PagerDuty's AIOps tier adds AI alert grouping, noise suppression, and AI agent suggestions for incident response. Includes the Jeli acquisition (May-2023, $73M) for incident retrospective AI. Pager…

Founded 2015 (ex-Pcysys); automated security validation — pentest, red-team, attack-surface validation. $60M Series D Jan-2024 ($1B val unicorn; Evolution Equity + K1). Israeli cyber pedigree; more…

Founded 2016 by Oleg Rogynskyy; revenue intelligence — activity capture + AI account intelligence. $100M Series D Sep-2021 ($1.1B val; Akkadian + ICONIQ). SalesAI agent launched 2024.

Perplexity's autonomous-research mode, launched Feb-2025 — multi-step research agent inside Perplexity. Perplexity parent: $9B val Dec-2024 ($500M round; IVP + NEA + Andreessen Horowitz).

Tel-Aviv-founded (Dor Sarig + Ziv Karliner, both ex-IDF cyber); end-to-end LLM security platform — discovery, red-teaming, runtime guardrails. $9M seed Apr-2024 (Shield Capital + Greenfield).

YC-W24 contract-review AI; auto-redlines vendor contracts based on the in-house playbook. $3.6M seed 2024 (Y Combinator + Liquid 2). Targets in-house legal at SaaS companies. Acquired by Filevine (…

OSS (MIT) prompt-engineering eval and red-team CLI; supports OWASP LLM Top-10 vulnerability tests, jailbreak generation, and CI/CD pipeline integration. $5M seed Mar-2024 (Andreessen Horowitz). Fou…

Founded 2022 by Ian Swanson + Daryan Dehghanpisheh (ex-AWS); AI/ML supply-chain + GenAI security. Acquired by Palo Alto Networks (2025-07-22; announced Apr-2025, reported $700M); its capabilities n…

Founded 2023; AI sales-agent product — autonomous outbound, meeting booking, follow-up. $4.7M seed Jul-2024 (Lightspeed + Mantis). Direct competitor in the 11x.ai / Artisan AI / Bland niche. As of …

Founded 2024 by Spiros Xanthos (ex-Splunk Observability SVP; founder of Omnition acq Splunk 2019). Autonomous AI SRE — investigates incidents end-to-end. $35M seed Aug-2024 (Greylock + Unusual). Pi…

Founded 2019 by Yaron Singer (Harvard); ML risk management — model testing, validation, runtime detection. Acquired by Cisco (2024-10); now foundational to Cisco AI Defense and Cisco Foundation AI.…

Founded 2022 by Gabriel Stengel (ex-Lazard + Stanford); AI agent purpose-built for investment-banking workflows — comps, precedent transactions, IC memo drafting. $50M Series B Mar-2025 ($350M val;…

OSS-first AI-SRE platform; CodeCollection (the OSS runbook library) is the differentiator — 'GitHub for SRE runbooks.' Apache-2.0. Bootstrapped + small angel funding. RunWhen Local self-hosted.

Tokyo-based Sakana AI's autonomous research agent — generates ideas, runs experiments, writes papers, peer-reviews. v1 paper Aug-2024 (arXiv 2408.06292); v2 update 2025. **Sakana parent: $214M Seri…

Cross-listing: Salesforce Agentforce already exists under Vertical / Customer-support / voice memory; this row is the Agent-harness framing — Agentforce as the consumer-facing agent IDE / builder o…

Founded 2018 by Josh Nicholson (PhD); citation-supported research search — find supporting/contrasting/mentioning citations for a scientific claim. **Acquired by Research Solutions Sep-2023 for $26…

Founded 2020 by Shrav Mehta; the third major compliance-automation platform (with Vanta + Drata). $56M Series B Mar-2023 (Accel + Kleiner Perkins + Base10). Comply AI launched 2024 — control gap an…

Semgrep's AI layer (Assistant) on top of its OSS rules-based SAST engine — triages findings, suppresses false positives, drafts fixes via PR. Semgrep parent: $59.5M Series C Nov-2022 ($530M val); >…

Founded 2021 inside Booz Allen Hamilton; spun out 2022. Detection-as-code platform — threat emulation + auto-generated detections. Adds GenAI threat-content layer 2024. Acquired by Cisco (2025-01-3…

Snyk's AI-assisted code-fix product built on the 2020-acquired DeepCode AI engine. Combines symbolic analysis + multiple AI models for fix generation. Snyk parent: $530M raised; $7.4B val Dec-2022;…

Maker of OSS BloodHound (the Active-Directory graph tool); BloodHound Enterprise is the productised attack-path management platform. $33M Series A Aug-2024 (Insight Partners). Adds AI for attack-pa…

Stanford NLP's STORM (Synthesis of Topic Outline through Retrieval and Multi-perspective question-asking) — generates Wikipedia-style articles from a topic prompt. NAACL 2024 paper (arXiv 2402.1420…

Sysdig's GenAI-powered cloud-security agent — runtime workload protection + CNAPP findings explained. Launched May-2024. Sysdig parent: $350M Series G 2022 ($2.5B val); Permira-led 2023 round.

Dublin-founded 2018; no-code automation initially for SOC analysts. $50M Series B Dec-2023 (Felicis + Accel + CrowdStrike's Falcon Fund). AI Agent mode added 2024; Tines Workbench gives analysts an…

Tonkean is a workflow-orchestration platform; LegalWorks is the legal-ops vertical with AI agents for intake triage, contract routing, and SLA management. Tonkean: $50M Series C Sep-2022 (Insight +…

Founded 2021; PLG-revenue intelligence — predicts which free users will convert, sales-ready signals. $17.5M Series A May-2023 (Tiger Global + Sequoia + Together Fund). Pivoted to AI-agent position…

Torq's HyperSOC is the AI-augmented offering of its hyperautomation platform (no-code security workflows + LLM agents). Torq parent: $70M Series C Apr-2024 (Evolution + Bessemer + Notable; >$300M t…

Holly AI is the trading-idea generation agent inside the Trade Ideas platform (founded 2003). Holly back-tests millions of strategies overnight + surfaces 'tradeable ideas' for retail/prosumer trad…

Founded 2021 by Sravish Sridhar (ex-Kinvey founder); GRC automation + AI trust center. $25M Series A Jun-2023 (Felicis + Cowboy + Cota Capital). Differentiates with cyber-insurance + 'trust center'…

Founded 2018; the largest compliance-automation platform by valuation/headline. $150M Series C Jul-2024 ($2.45B val; Sequoia + Atlassian Ventures + CrowdStrike Falcon Fund). Vanta AI launched 2024 …

Sequoia-led $20M seed (Jun-2024); founded by Oege de Moor (Semmle / GitHub CodeQL founder). Autonomous offensive-security agent that finds and exploits web vulns end-to-end. Topped HackerOne leader…

You.com's research-agent mode — multi-step web research + synthesis. You.com parent: $99M Series B Aug-2024 ($700M val; Georgian + NEA + Salesforce Ventures). Founded by Richard Socher (ex-Salesfor…

Now positioned as Continual Learning Infrastructure, with three products: Deeplake Database, Hivemind Memory and Refinery Software Factory. Deep Memory feature optimises embedding space per use-cas…

Limited native hybrid (users build RRF custom). Fast Rust core (v2.5). Acquired by Replit (definitive agreement announced 2026-10-23); Chroma Cloud is winding down (writes disabled 2026-11-22, read…

Renamed Databricks AI Search: a fully managed search engine combining semantic vector, keyword (BM25) and hybrid search with reranking in one API. Storage-optimised index scaling to billions of vec…

Mature hybrid (BM25 + vector) implementations. RRF + weighted combination. Elastic ELSER sparse model.

Embedded vector DB (Arrow columnar). RRF reranker. Petabyte-scale on disk.

Marqo's open-source multimodal (text + image) vector search engine is deprecated and gets no further updates; the company now sells an AI-native ecommerce search and product discovery platform with…

Multi-vector columns (10 simultaneous). Native hybrid search (v2.5). CAGRA + Vamana GPU/CPU (v2.6).

Agent memory store for both short-term (document) and long-term (vector). LangGraph checkpointer for stateful agents. Vector search extended to Community Edition (Sept 2025).

Stores embeddings alongside relational + full-text data. HNSW + IVFFlat ANN indexes. Used as agent conversation memory via LangChain + MCP. Foundation of Supabase AI and many self-hosted RAG stacks.

Managed vector DB. Cascading sparse + dense + rerank pipeline; pinecone-rerank-v0 .

Distribution-Based Score Fusion + RRF. Sparse vectors native; filtering via ANN graph modification.

Hybrid vector + keyword + semantic reranking. Cortex Agents (GA Nov 2025) orchestrate over Cortex Search for unstructured data. No separate vector infra needed inside Snowflake.

Object-storage-first vector DB. Powers Notion and Cursor. SPFresh indexing; ~10× cost reduction vs. memory-resident peers.

Combines vector ANN, lexical, structured filtering, and ML-learned ranking in one distributed system. Integrated chunking + layered ranking for RAG. No separate embedding infra needed.

Hybrid Search 2.0 with learned ranking. BM25 + vector in unified index.

Clinician-assist ambient documentation. Source mapping: every AI-generated summary element traced back to the source utterance. Audit-and-trust layer over episodic memory. Built on proprietary 1.5M…

Treats memory as first-class architecture. Captures the digital footprint of every interaction; retrieves preference and history at engagement time. Public example: airline knowing a frequent flyer…

Taken private: merged into Osaka Holdings (renamed BenevolentAI S.A.) and delisted from Euronext Amsterdam 2025-03-13. Target identification / drug repurposing / mechanism tracing. 85+ data sources…

Agentic AI platform for life sciences: orchestrated scientific agents over a curated biomedical knowledge graph (plus Bio Graph and Pipeline Graph), an evidence-retrieval system and an enterprise d…

Chat Memories (user-defined facts), auto-memories for c.ai+ subscribers, pinned memories, in-context retention. Latest chat models PipSqueak 3 and ShortSqueak (Sep 2026). On 2026-10-12 the company …

No-code interactive narrative platform. Characters track what they know, when they were lied to, what they misremember; story state changes downstream behaviour. Characters can deliberately lie / m…

Activates a Socratic interaction style — guiding questions, scaffolded concepts, knowledge checks rather than direct answers. With ChatGPT Memory enabled, persists learning goals and facts across s…

SMB law firms. AI embedded in practice management; pulls full matter overviews — WIP, billing, documents, communications — as context. Memory is the PMS data; no separately persisted cross-matter l…

Next-gen release (Aug 2026, built on Claude Agent SDK) is fully agentic and adds per-matter Workspaces that keep firm documents and precedents as context across matters and teams, plus Brief Builde…

Acquired by NiCE (closed 2025-09-08); continues as NiCE Cognigy, standalone and inside CXone Mpower. Enterprise contact centre (voice + chat). Short-term covers current session; long-term persists …

Mimir hierarchical memory: short-term (verbatim), medium-term (summaries + emotion), long-term (cross-session). Scene awareness layer adds in-engine perception. Unity + Unreal SDKs with real-time v…

Sales + contact centre. Customer history feeds real-time guidance and coaching. Memory survives handoffs between AI agent, human agent, and channels — but leans on CRM as the primary store.

Autonomous support agents resolving end-to-end (refunds, cancellations). Channel-agnostic memory: chat → call carries prior context. Agents recognise returning customers and recall prior issues.

Specialty-care ambient scribe (oncology focus). Pulls forward prior notes with precise dates; synthesises interval history (what changed since last visit); auto-populates disease-status and treatme…

Adds GPT-4-powered Roleplay (character conversations, with cross-call memory for "Lily") and Explain My Answer on top of Duolingo's existing spaced-repetition engine, which tracks per-word and per-…

Systematic literature review + data extraction + meta-analysis. Every extracted claim anchored to its exact source sentence; Notebook persists paper collections across projects. Research Agents (De…

Persistent pronunciation profile per user, tracking which sounds, words, and patterns the learner consistently mispronounces. Self-evolving model re-evaluates and updates the profile as the learner…

Plaintiff-law AI operating layer (EveOS) spanning intake, case work, research and firm analytics; its Auditor module reviews open matters for missed case value. The firm-wide knowledge store is no …

Humanoid VLA model: a 7B VLM (System 2, 7–9 Hz) continuously updates a shared latent vector of behavioral intent that an 80M visuomotor policy (System 1, 200 Hz) consumes alongside the latest obser…

Embedded in case-management platform. Holds full scope of every matter — deadlines, billing, discovery, communications, negotiation history — as live context for every query. Case data is the conte…

Full autonomous-scientist loop. Owl agent surfaces prior work so downstream agents don't re-derive known results. WikiCrow produced cited factsheets for 15,616 previously undocumented human genes; …

Encodes scene into 3D Gaussian Splat representations via 3D VAE; latent Diffusion Transformer predicts future Gaussian Splat states conditioned on robot actions. 3D scene representation persists ac…

Memory carries forward user-chosen context (matter details, precedent, preferences, approved practices) and reuses past threads scoped to a user, client, matter or firm process. Firm admins enable/…

Corporate / transactional due diligence. Parallel AI agents across large document sets with firm-specific configurations and review workflows. Configuration amounts to a shallow institutional memor…

Ambient documentation with clinician-profile learning. System learns each clinician's preferred note structure, phrasing patterns, symptom-outlining conventions — applies persistently across sessio…

Patient-conversation / chronic-care staffing model. HIPAA-compliant Memory Store holds non-EHR salient facts from prior calls, persists across engagements, explicitly not used for model training. S…

CX support. Currently CRM-backed customer attributes + conversation history lookup. Lifecycle-persistent memory ("priorities learned day one considered in year 10") on roadmap as of Pioneer 2025 — …

Formerly an NPC character engine with named Long-Term Memory; now sells realtime voice models (TTS-2, STT-1, speech-to-speech) and OpenAI-compatible open-model inference. Character/NPC memory is no…

Enterprise R&D document-intelligence platform, now sold as three products (Axion data prep, Neuralith enterprise knowledge engine, RSpace R&D intelligence) under an 'AI harness' that controls what …

Primary care / virtual physician intake. Two-agent pipeline: one extracts the relevant EMR subset, second answers grounded to that filtered history. Architecture explicitly diverges by patient cond…

Stores full chat transcripts per student (visible to learner and teacher via dashboard). Layers over Khan Academy's existing mastery graph (exercise completion, skill progress) for cross-session to…

Therapeutic-antibody discovery in a closed Design-Build-Test-Learn loop. EVA accumulates structured outcome data from each robotic experiment cycle and feeds it back to generative ML models directi…

AI Dungeon's maker. Voyage (April 2026) launched as a creator platform for AI RPGs. World Engine (5 years in dev) is dedicated AI tracking characters, objects, backstories, relationships independen…

Architecturally notable — a named, documented service. Shared key-value store any agent (bot or human) can read/write across a customer's conversational journey, reducing repetition and enabling co…

Jan 2026 platform relaunch. Persists negotiation history, prior decisions, accepted risk positions across all contracts; new terms align with what the org has already agreed. Branded as the antidot…

Teacher productivity platform (80+ teacher tools, 50+ student tools) for planning, differentiation, IEP generation, feedback. Does not maintain a cross-session learner model. Teachers input student…

Two-tier memory bank on a VLA backbone. Perceptual MB holds low-level visual details; Cognitive MB holds high-level semantic summaries; working-memory module retrieves and fuses both into observati…

Formalises spatial localisation question answering (SLQA). High-density memory over 3D scene graphs (semantic entities + metric coordinates); LLM agent performs joint retrieval over both modalities…

Ambient scribe + longitudinal clinical intelligence (strategic partnership Jul 2025). Live encounter transcript reconciled against historical labs/imaging/notes; condition-suspecting + care-gap eng…

AI companion built around long-term memory as primary differentiator. Mind Map 2.0 gives users a navigable graph of what their Nomi knows about them and how memories connect — the most transparent …

Dual-system (VLM "System 2" + Diffusion Transformer "System 1") jointly trained end-to-end; planner outputs persist as conditioning context across action generation. N1.7 adopts relative end-effect…

Builds long-horizon memory by captioning video segments with VILA, storing captions with timestamps + 3D position coordinates in MilvusDB. At query time, LLM iterates retrieval across text, time, a…

Clinical decision support. Visits (Aug 2025) connects evidence layer to the live encounter — patient-specific context binding distinct from pure literature RAG. DeepConsult agent autonomously cross…

Enterprise voice agents. Context heavily runtime-injected from CRM / telephony / API / user history; passes context to humans on escalation. Strong on plumbing, lighter on autonomous memory accumul…

Tracks per-card answer history within a study set; computes a Memory Score for SRS scheduling. Magic Notes converts uploaded content (notes, PDFs, URLs) into flashcard sets automatically. Q-Chat, t…

Enterprise agentic customer-service platform with Conversation Automation (one agent across voice, chat and messaging) and Conversation Intelligence (analysis of human-agent conversations used to r…

Long-running AI companion (Luka, Inc., 2017). Replika 2.0 (2026) is a full rebuild with a new memory architecture, 3D avatars and voice/video calls; users report the new segmented, recency-biased m…

Acquired by Litmaps (announced 2025-05-08, terms undisclosed); product still running. Literature discovery + citation mapping. Oct 2025 revamp formalises checkpointed search paths as named "rabbit …

Agentforce agents grounded in Data Cloud — unified customer record across silos. Memory is the CRM record made available to AI; not an independent memory system. AI reads/writes through the existin…

Carbon control system originally built for the Phoenix humanoid; company now sells it as hardware-agnostic Physical AI for existing industrial robots plus in-development hydraulic hands, with the P…

Teacher-created "Spaces" (structured AI workspaces) where Dot, the student-facing assistant, guides learners through agendas. Student interaction data — completion, errors, time-on-task — surfaces …

Stores surrounding textual context of every citation plus a deep-learning classification (supports / disputes / mentions). Persisted across the database, not computed on demand. MCP integration (20…

Incrementally constructs hierarchical 3D scene graph during navigation — nodes for objects/groups/rooms, edges for spatial relations. Prunes stale nodes with linear complexity. Live graph passed as…

Bret Taylor + Clay Bavor. Agent Data Platform links unstructured conversation data to enterprise systems (billing, inventory, policies, transactions); persists across channels and time. Memory accu…

Real-time simultaneous inference + data collection — dynamically updates in-context representation as the robot encounters new situations. Lets the system adapt to novel embodiments / unseen enviro…

In receivership since 2026-02-05 (KPMG receivers Leon Bowker and Luke Norman, appointed under a security deed held for convertible-note holders; NZ Gazette notice 2026-ar623); website still up. NZ/…

Speaking-first AI language app (Spanish, French, Korean, Japanese, Italian, Chinese). Uses the learner's mistakes and history to generate personalised review; Premium Plus adds 'Made for You' lesso…

Transactional / contract drafting. Ingests the firm's precedent corpus (OneDrive, Dropbox or direct upload); indexes it so lawyers search past clauses in plain language inside Word, insert one, and…

Defunct: Spirit AI Limited entered members' voluntary liquidation (liquidators appointed 2023-09-18). Authoring toolkit + SDK for narrative designers. Tracks what each character knows, doesn't know…

Doctor-assist ambient documentation. Pulls forward prior documentation into a pre-visit synthesis rather than waiting for the encounter. Patient summaries surface relevant insight from history befo…

Embeds micro-assessments into every lesson to track understanding in real time, adjusting difficulty and teaching approach within session. Combines AI personalization with human-curated content. No…

Single end-to-end neural network ingesting multi-camera video + navigation + ego-motion, maintaining an evolving 3D occupancy volume as internal world state — spatial memory persisting across frame…

All surround-camera views encoded through video tokeniser to continuous latent; past latent sequences serve as explicit temporal context via space-time factorised transformer. GAIA-3 (15B params, 2…

Extends π0 with MEM layer giving the policy short-term (within-task) + long-term (cross-task, >10-min horizon) memory. Co-trained on robot teleoperation + human video + text. Hierarchical inference…

Voice-AI platform with custom STT + LLM + TTS stack ('the whole pipeline'). Raised $40M Series A Apr-2024 (Lightspeed + Anthology). Distinguished by 'pathway' graphs (deterministic call flows) and …

CallRail's AI-driven conversation intelligence layer atop their call-tracking product. Marketing-vertical voice analytics — auto-tagging, sentiment, lead scoring. CallRail is profitable / private (…

Cartesia's Sonic TTS — state-space-model-based voice generation, lowest published TTS latency (~40ms). Cartesia raised $64M Series A Q1 2025 (Index + Lightspeed); founded by Mamba authors. Agent pl…

ElevenLabs launched Conversational AI Nov-2024 — STT + LLM + their own market-leading TTS in one pipeline. Combines vendor's voice cloning + multilingual TTS strengths with hosted call orchestratio…

Hume's Empathic Voice Interface (EVI) — voice agent platform with vocal-affect understanding, using Hume's proprietary speech-prosody models. Hume will shut down the EVI and TTS APIs on 2026-11-13 …

LiveKit Agents — agent framework built on LiveKit's open-source WebRTC media server. LiveKit raised $45M Series B Sep-2024 ($300M val). Powers OpenAI Realtime API's WebRTC transport (LiveKit is the…

OpenAI's Realtime API for native speech-to-speech multimodal interaction with GPT-4o — launched Oct 2024 (DevDay). Skips the STT → LLM → TTS pipeline by passing speech directly to GPT-4o. The platf…

Open-source Python framework for real-time voice + multimodal AI agents, maintained by Daily.co. Pipeline-style architecture (STT → context → LLM → TTS) wired over WebRTC. The OSS substrate that ma…

Voice-agent platform with vendor focus on sub-800ms turn latency and proprietary voice models. Y Combinator S24; raised $4.6M seed Aug 2024 (BoxGroup + others); >$1M ARR by month 6 per founders. Di…

Speechmatics (UK; STT leader) launched Flow Q4 2024 — conversational voice-agent platform composed on Speechmatics STT + caller LLM. Speechmatics raised $62M Series B (2022); enterprise + media cus…

No-code voice-AI platform — drag-and-drop call-flow builder targeted at non-developers. Berlin-based; raised $7.4M Series A Sep-2024 (Singular). Distinguishes itself from Vapi/Retell with visual ca…

Voice-AI developer platform — STT + LLM + TTS pipelines wired to telephony (Twilio / SIP). Used to build outbound + inbound phone agents at scale. Raised $20M Series A from Bessemer + Y Combinator …

Vonage's AI Studio — visual conversational-agent designer that runs on Vonage CPaaS (SMS / Voice / WhatsApp). Vonage acquired by Ericsson 2022 ($6.2B); AI Studio is the conversational AI layer of t…

Acquired by Amazon (Jul 2025); bee.computer is now © Amazon and sells the Bee Frontier wearable ($74.99), with a Bee Eclipse device marked coming soon. Small wearable (pendant / clip / bracelet). C…

Software platform / OS layer for AI wearables (glasses, rings, pendants, speakers) that abstracts hardware from AI orchestration. Memory and model providers are pluggable and user-controlled rather…

Pendant necklace (~2 inches). Always-on listening feeds a persistent AI companion persona. Companionship-framed rather than productivity / recall. Cloud LLM backend; no detailed encryption claims.

Mac/iOS app (no hardware). Captures meeting audio via system-audio tap (no bot joining); generates notes from your shorthand + audio. Local audio processing claim; cloud for summaries. Enterprise t…

Former Rewind/Limitless lifelog (Pendant wearable + screen/audio capture with timeline search). Acquired by Meta (2025-12); Pendant no longer sold as of 2025-12-05, service withdrawn from the EU, U…

Developer-first reference platform for AI wearables. LVMM 2.0 captures visual data through video, encodes it into frames on-device, and stores moments as searchable memories; companion app surfaces…

Wearable orb (necklace or clip) with open-source hardware + firmware. Continuous audio capture; real-time GPT-4o transcription; searchable memory graph. Supports app screen capture too. Hybrid priv…

Joins Zoom / Meet / Teams as a meeting bot. Real-time transcription, speaker identification, searchable archive across past meetings. SSO + admin controls at Business tier.

Magnetic clip-on wearable. Records in-person conversations and calls; AI summaries, action items, searchable transcripts. AES-256 + TLS 1.2 in transit; doesn't retain audio after transcription. Als…

Meeting bot + browser extension. Captures audio + video; engagement scoring (talk-time, sentiment, attention); enterprise search across all past meetings. "Ada" digital-twin feature builds an AI me…

Smart ring with voice-activated capture (tap to record, not always-on). Personal knowledge graph with companies, people, meetings; pulls context from past meetings and shared interests. Ex-Meta eng…