Framework-embedded memory

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.

Visual LangChain canvas. LangChain-native memory nodes (Buffer, Buffer Window, Conversation Summary Buffer) backed by internal chat_message DB table. Buffer Window limits to last K interactions; Summary Buffer compresses older turns whil…

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.

Saves high-signal facts (scheduling preferences, communication patterns, recurring rules) selectively rather than raw transcripts. Memory entries editable, injected into every prompt call, persist across all future executions.

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) for semantic recall.

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

Chatbot platform. Tracks last 25 turns (configurable up to 100) as labelled assistant/user transcript stored in vf_memory string variable. Optional indefinite chat persistence across browser sessions.

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-management layer — task context, instruction sta…

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

ListMemory chronological context + teachable agents that vectorise corrections. Integrates with Mem0/Zep rather than building deep memory natively.

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

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

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 vector search + TTL. Postgres / Mongo / Red…

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

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.

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 / policy. Long-term tier typically backed by e…

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 instructions.

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.

Microsoft Semantic Kernel's memory plugin ( Microsoft.SemanticKernel.Plugins.Memory ). Plug-in approach to long-term memory in the SK agent framework.

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 proposals exist for "memory bank"-style addit…

Connects enterprise knowledge sources (SharePoint, Confluence, Notion, Drive, DBs) as memory layer with access controls, versioning, citations. Agents query at runtime; no separate session/cross-session store.

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 uses FAISS; OpenSearch for production.

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-offs in same call.

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 optimisation loop (MIPRO, BootstrapFewShot) treats …

Haystack 2.x: InMemoryChatMessageStore (experimental) + ChatMessageRetriever + ChatMessageWriter components in declarative pipelines. Legacy: ConversationSummaryMemory with LLM-compressed rolling summaries. Memory is an explicit pipeline…

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 response latency: agent responds immediate…

PraisonAI multi-agent framework's built-in memory: per-agent short-term + cross-agent long-term, with Mem0 as the default long-term backend.

Memory exposed via Anthropic SDK's BetaAbstractMemoryTool when Anthropic provider is active. No built-in persistent storage in the framework itself. Other providers require external memory (Hindsight, Mem0) wired in manually.

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 downstream nodes when relevant. Memory is de…

Wraps conversation memory behind an Advisor abstraction. MessageWindowChatMemory default 20-msg sliding window (preserves system messages); pluggable ChatMemoryRepository backends (in-memory, JDBC, Cassandra, Neo4j). Memory injected as c…