{"family":"all","name":"Full catalog","count":1002,"license":"CC-BY-4.0","systems":[{"id":"0-5-physical-intelligence--pi-website","name":"π0.5 (Physical Intelligence)","url":"https://www.pi.website/blog/pi05","section":"Vertical / domain-specific AI memory","tier":1,"status":"active","last_verified_at":"2026-10-29","type":"Multi-Scale Embodied Memory (short + long episodic)","license":"Apache-2.0 (openpi repo; repo also ships a LICENSE_GEMMA.txt for Gemma-derived terms)","latest_release":"","deployment":"Cloud inference + on-robot deployment (websocket streaming)","pricing":"searched not found","mcp_support":"no MCP support advertised — vertical product, no MCP server / client integration documented","a2a_support":"no A2A protocol support advertised — vertical product, no A2A integration documented","backend_storage":"searched not found","llm_lock":"","github":"Physical-Intelligence/openpi — ~13.3k stars, last commit not confirmed (π0.5 base, DROID and LIBERO checkpoints released)","storage":"vector","retrieval":"attention|similarity","persistence":"long-term","update":"append-only|consolidation","unit":"episode|trajectory","governance":"opaque","conflict":"append","description":"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: VLA predicts subtasks as text tokens, then executes as action chunks.","cited_cells":33,"third_party_cells":5,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/0-5-physical-intelligence--pi-website"},{"id":"01-ai-yi-family--01-ai","name":"01.AI Yi family","url":"https://www.01.ai/","section":"Foundation models (substrate reference)","tier":2,"status":"active","last_verified_at":"2026-10-31","type":"Open-weights frontier-tier Chinese model family (Yi-Lightning / Yi-34B)","license":"Apache 2.0 (Yi-34B + base sizes); proprietary (Yi-Large, Yi-Lightning)","latest_release":"Yi-Lightning (2024-10)","deployment":"Self-hostable (Yi-34B Apache 2.0) + 01.AI API for Yi-Large / Yi-Lightning; Together AI hosts Yi-34B","pricing":"API: Yi-Lightning $0.14 per 1M tokens (vendor-claimed lowest among frontier-tier); Yi-34B weights free under Apache 2.0 (international API at platform.01.ai suspended; API access now only via platform.lingyiwanwu.com)","mcp_support":"","a2a_support":"","backend_storage":"","llm_lock":"open (Apache 2.0 for Yi-34B); single-vendor for Yi-Lightning","github":"github.com/01-ai/Yi ~7k+ stars","storage":"","retrieval":"","persistence":"","update":"","unit":"","governance":"","conflict":"","description":"Kai-Fu Lee's 01.AI (founded 2023, Beijing). 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By 2026 01.AI's site leads with enterprise AI products (WorldWise Enterprise LLM Platform, 2025-03; Boss AI; TopSales AI) and lists Yi-Lightning (2024-10) as its latest Yi model. 01.AI's international API platform (platform.01.ai) is suspended: it says API services are temporarily unavailable from August 25 due to business adjustments and points users to the Chinese platform at platform.lingyiwanwu.com.","cited_cells":34,"third_party_cells":0,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/01-ai-yi-family--01-ai"},{"id":"11x-ai--11x-ai","name":"11x.ai","url":"https://www.11x.ai/","section":"Use-case-specific agent harnesses","tier":1,"status":"active","last_verified_at":"2026-10-28","type":"AI sales agents (Alice, Mike, Jordan)","license":"","latest_release":"","deployment":"Managed-only — hosted SaaS AI sales agents","pricing":"Per-seat / per-agent enterprise tiers","mcp_support":"","a2a_support":"","backend_storage":"","llm_lock":"","github":"","storage":"","retrieval":"","persistence":"","update":"","unit":"","governance":"","conflict":"","description":"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). 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Raised $100M Series B (Jan-2024, EQT + OpenAI Startup Fund); $40M Series A (Mar-2023, OpenAI lead). Distinguishing feature: consumer-home positioning rather than industrial.","cited_cells":33,"third_party_cells":1,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/1x-technologies--1x-tech"},{"id":"6sense--6sense-com","name":"6sense","url":"https://6sense.com/","section":"Use-case-specific agent harnesses","tier":2,"status":"active","last_verified_at":"2026-10-28","type":"ABM intent + AI agent platform","license":"","latest_release":"","deployment":"","pricing":"","mcp_support":"yes — 6sense MCP Server (listed as New); intelligence can be activated via APIs and MCP","a2a_support":"","backend_storage":"","llm_lock":"","github":"","storage":"","retrieval":"","persistence":"","update":"","unit":"","governance":"","conflict":"","description":"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.","cited_cells":17,"third_party_cells":0,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/6sense--6sense-com"},{"id":"a-mem--gh-wujiangxu-a-mem","name":"A-MEM","url":"https://github.com/WujiangXu/A-mem","section":"Research / specialised systems","tier":3,"status":"active","last_verified_at":"2026-10-28","type":"Atomic-note / Zettelkasten-style","license":"MIT","latest_release":"no releases","deployment":"searched not found","pricing":"searched not found","mcp_support":"","a2a_support":"","backend_storage":"","llm_lock":"","github":"871★ +10/mo Python","storage":"graph","retrieval":"graph-traversal|similarity","persistence":"long-term","update":"append-only","unit":"fact","governance":"inspectable","conflict":"n/a","description":"Treats memories as atomic linkable notes — explicit nod to Zettelkasten knowledge management. 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Built by the Memobase team. The README now says Acontext is no longer maintained; the team has moved on to alook.ai.","cited_cells":12,"third_party_cells":1,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/acontext-memodb--gh-memodb-io-acontext"},{"id":"activeloop-deep-lake--activeloop-ai","name":"Activeloop Deep Lake","url":"https://activeloop.ai","section":"Vector-database infrastructure","tier":2,"status":"active","last_verified_at":"2026-10-29","type":"Multimodal vector + serverless Postgres","license":"Apache-2.0","latest_release":"v4.7.4 (2026-08-25) — deeplake (PyPI)","deployment":"Both (self-hosted + managed cloud) — Apache-2.0 library and managed Deeplake cloud; Enterprise runs in your own VPC","pricing":"Hivemind Basic $0/month ($15 credits; 150k traces and 1.5M queries included, then $0.25 per 1k traces and 10k queries); Team $99/seat/month; Enterprise custom (own VPC)","mcp_support":"no first-party MCP adapter published as of 2026-05; community connectors may exist.","a2a_support":"no Google A2A (Agent2Agent) integration documented as of 2026-05.","backend_storage":"custom (Deep Lake columnar format on object storage)","llm_lock":"","github":"activeloopai/deeplake — ~9.3k stars, last commit 2026-05","storage":"","retrieval":"","persistence":"","update":"","unit":"","governance":"","conflict":"","description":"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-case (+22% retrieval accuracy). 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Runtime enforcement targeting memory poisoning, unauthorised execution, identity spoofing per the OWASP LLM threat list. 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Important historical entry — ACT models inspired Anthropic Computer Use + OpenAI Operator.","cited_cells":19,"third_party_cells":4,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/adept-act--adept-ai"},{"id":"agency-swarm--gh-vrsen-agency-swarm","name":"Agency Swarm","url":"https://github.com/VRSEN/agency-swarm","section":"Agent frameworks (no first-party memory layer)","tier":3,"status":"active","last_verified_at":"2026-10-26","type":"OpenAI-Assistants-based multi-agent","license":"MIT","latest_release":"v1.11.0 (2026-08-03)","deployment":"Self-hosted only — library","pricing":"free (OSS)","mcp_support":"yes — official MCP client support (MCP servers incl. per-user OAuth via MCPServerOAuth, v1.11.0)","a2a_support":"searched not found","backend_storage":"","llm_lock":"searched not found","github":"VRSEN/agency-swarm — ~4.6k stars, last commit 2026-08","storage":"","retrieval":"","persistence":"","update":"","unit":"","governance":"","conflict":"","description":"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).","cited_cells":20,"third_party_cells":1,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/agency-swarm--gh-vrsen-agency-swarm"},{"id":"agent-kb--arxiv-2507-06229","name":"Agent KB","url":"https://arxiv.org/abs/2507.06229","section":"Recent method papers — theorized, no distinct product","tier":4,"status":"active","last_verified_at":"2026-10-28","type":"Cross-domain experience KB","license":"","latest_release":"","deployment":"","pricing":"","mcp_support":"","a2a_support":"","backend_storage":"","llm_lock":"","github":"","storage":"vector","retrieval":"similarity","persistence":"long-term","update":"extraction","unit":"episode","governance":"inspectable","conflict":"llm-arbitrate","description":"Leverages cross-domain experience for agentic problem solving.","cited_cells":19,"third_party_cells":0,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/agent-kb--arxiv-2507-06229"},{"id":"agent-qa--vostride-com","name":"Agent QA","url":"https://vostride.com/docs/agent-qa","section":"Use-case-specific agent harnesses","tier":3,"status":"active","last_verified_at":"2026-10-22","type":"Harness","license":"Other (specify in notes)","latest_release":"last commit 2026-08-03","deployment":"searched not found","pricing":"searched not found","mcp_support":"searched not found","a2a_support":"searched not found","backend_storage":"searched not found","llm_lock":"searched not found","github":"https://github.com/vostride/agent-qa (897★)","storage":"","retrieval":"","persistence":"","update":"","unit":"","governance":"","conflict":"","description":"Agent-driven runtime for testing web, Android, and iOS user flows from YAML, with a local dashboard, CLI/MCP control, and recorded evidence. 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Dominant base model for many Chinese AI startups and a top OSS substrate globally.","cited_cells":53,"third_party_cells":16,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/alibaba-qwen-3-family--qwenlm-github-io"},{"id":"alita--arxiv-2505-20286","name":"Alita","url":"https://arxiv.org/abs/2505.20286","section":"Recent method papers — theorized, no distinct product","tier":4,"status":"active","last_verified_at":"2026-10-28","type":"Generalist agentic reasoning","license":"","latest_release":"","deployment":"","pricing":"","mcp_support":"","a2a_support":"","backend_storage":"","llm_lock":"","github":"","storage":"file","retrieval":"agentic","persistence":"long-term","update":"agent-controlled","unit":"skill","governance":"inspectable","conflict":"llm-arbitrate","description":"Generalist agent enabling scalable agentic reasoning.","cited_cells":18,"third_party_cells":0,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/alita--arxiv-2505-20286"},{"id":"alita-g--arxiv-2510-23601","name":"Alita-G","url":"https://arxiv.org/abs/2510.23601","section":"Recent method papers — theorized, no distinct product","tier":4,"status":"active","last_verified_at":"2026-10-28","type":"Self-evolving generative agent","license":"","latest_release":"","deployment":"","pricing":"","mcp_support":"","a2a_support":"","backend_storage":"","llm_lock":"","github":"","storage":"file","retrieval":"agentic","persistence":"long-term","update":"agent-controlled","unit":"skill","governance":"inspectable","conflict":"llm-arbitrate","description":"Self-evolving generative agent for agent generation.","cited_cells":18,"third_party_cells":0,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/alita-g--arxiv-2510-23601"},{"id":"allegrograph-franz--allegrograph-com","name":"AllegroGraph (Franz)","url":"https://allegrograph.com/","section":"Knowledge-graph platforms","tier":1,"status":"active","last_verified_at":"2026-10-27","type":"RDF triple/quad store + reasoning","license":"","latest_release":"","deployment":"Both (on-prem + cloud)","pricing":"Free tier + commercial licenses (quote-based)","mcp_support":"no first-party MCP adapter published as of 2026-05; community connectors may exist.","a2a_support":"no Google A2A (Agent2Agent) integration documented as of 2026-05.","backend_storage":"custom (RDF triple store)","llm_lock":"","github":"","storage":"","retrieval":"","persistence":"","update":"","unit":"","governance":"","conflict":"","description":"RDF triple/quad store with RDFS++ / OWL reasoning. v8.4 (May 2025) added an NLQ interface.","cited_cells":44,"third_party_cells":3,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/allegrograph-franz--allegrograph-com"},{"id":"alphaedit--arxiv-2410-02355","name":"AlphaEdit","url":"https://arxiv.org/abs/2410.02355","section":"Recent method papers — theorized, no distinct product","tier":3,"status":"active","last_verified_at":"2026-10-28","type":"Null-space knowledge editing","license":"MIT","latest_release":"no-release no-release","deployment":"","pricing":"","mcp_support":"","a2a_support":"","backend_storage":"","llm_lock":"","github":"439★ Python","storage":"parametric","retrieval":"parametric-recall","persistence":"parametric-permanent","update":"parametric-edit","unit":"fact","governance":"deterministic","conflict":"llm-arbitrate","description":"Null-space-constrained knowledge editing for language models.","cited_cells":25,"third_party_cells":0,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/alphaedit--arxiv-2410-02355"},{"id":"alphasense--alpha-sense-com","name":"AlphaSense","url":"https://www.alpha-sense.com/","section":"Use-case-specific agent harnesses","tier":2,"status":"active","last_verified_at":"2026-10-28","type":"Financial-research search platform + Genesis AI agent","license":"","latest_release":"","deployment":"Managed-only — SaaS; enterprise deployment to AWS/GCP also offered","pricing":"","mcp_support":"yes — MCP tools exposed through the AlphaSense Agent API (alongside GenSearch, ThinkLonger, DeepResearch)","a2a_support":"","backend_storage":"","llm_lock":"","github":"","storage":"","retrieval":"","persistence":"","update":"","unit":"","governance":"","conflict":"","description":"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 for $930M** (expert-call transcripts). Genesis = autonomous research agent launched 2024.","cited_cells":22,"third_party_cells":0,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/alphasense--alpha-sense-com"},{"id":"amazon-bedrock-guardrails--aws-amazon-com","name":"Amazon Bedrock Guardrails","url":"https://aws.amazon.com/bedrock/guardrails/","section":"Guardrails & AI security","tier":3,"status":"active","last_verified_at":"2026-10-29","type":"Product","license":"proprietary","latest_release":"searched not found","deployment":"searched not found","pricing":"searched not found","mcp_support":"searched not found","a2a_support":"searched not found","backend_storage":"searched not found","llm_lock":"searched not found","github":"","storage":"","retrieval":"","persistence":"","update":"","unit":"","governance":"","conflict":"","description":"Configurable safeguards that filter harmful text and image content, redact sensitive information, block denied topics and detect hallucinations. 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Mem0 integration GA 2025; Cognee integration for agentic RAG. 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Nova Pro (multimodal mid-tier), Nova Lite (multimodal cheap), Nova Micro (text-only fast), Nova Canvas (image gen), Nova Reel (video gen). Premier frontier-tier launched 2025. Substrate for AWS Bedrock-native agents and Amazon Q. Distinct from Claude / Llama / Mistral hosted via Bedrock — Nova is Amazon's own training.","cited_cells":32,"third_party_cells":0,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/amazon-nova-family--aboutamazon-com"},{"id":"amazon-q-developer--aws-amazon-com","name":"Amazon Q Developer","url":"https://aws.amazon.com/q/developer/","section":"Agent IDEs & coding harnesses","tier":1,"status":"deprecated","last_verified_at":"2026-10-31","type":"AWS-hosted developer AI agent + IDE plugins","license":"","latest_release":"","deployment":"Managed-only — AWS-hosted service via IDE plugins, AWS Console and CLI","pricing":"Free tier (50 agentic requests/mo); Pro $19/user/mo — new subscriptions closed from 2026-05-15","mcp_support":"yes — MCP support in Q Developer agentic coding (carried over to successor Kiro per AWS)","a2a_support":"searched not found","backend_storage":"AWS-hosted","llm_lock":"","github":"","storage":"","retrieval":"","persistence":"","update":"","unit":"","governance":"","conflict":"","description":"Amazon's developer-focused agent — formerly CodeWhisperer (renamed 2024-Q4). 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End of support for the Amazon Q Developer IDE plugins is set for 2027-04-30 per an AWS notice, which points users to Kiro as the successor.","cited_cells":58,"third_party_cells":2,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/amazon-q-developer--aws-amazon-com"},{"id":"amplenote--amplenote-com","name":"Amplenote","url":"https://www.amplenote.com/","section":"Personal AI / PKM / lifelogging memory","tier":2,"status":"active","last_verified_at":"2026-10-22","type":"Tags + bidirectional + Task Score","license":"","latest_release":"","deployment":"Managed-only","pricing":"Free; Basic $6.99/mo ($71.88/yr); Pro $11.99/mo ($119.88/yr); Founder $29.99/mo ($299.88/yr)","mcp_support":"yes — local MCP server hosted by Amplenote Desktop (127.0.0.1, bearer token) for Claude Desktop/Code and Codex; Unlimited/Founder plans","a2a_support":"searched not found","backend_storage":"searched not found","llm_lock":"","github":"","storage":"graph|relational","retrieval":"graph-traversal","persistence":"long-term","update":"overwrite","unit":"document|fact","governance":"user-controllable","conflict":"overwrite","description":"Tags + bidirectional links + task/calendar integration. \"Task Score\" priority matrix. 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Founded 2023, YC W24. $2.6M seed disclosed. 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