plastic-labs/honcho

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

6861 stars · 852 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Honcho is an open-source memory infrastructure service for building stateful AI agents that maintain understanding of users, agents, groups, and ideas over time. It provides a FastAPI server with Python and TypeScript SDKs, an MCP server, and a CLI, usable as a managed API or self-hosted with PostgreSQL/pgvector.

Use cases

• add persistent long-term memory to ai agents
• give my coding agent memory across sessions
• build a chatbot that remembers users
• store and query agent conversation history
• self-host agent memory infrastructure
• add memory to claude code or cursor via mcp
• track how users change over time for personalization

When to choose

• you need agents that maintain context and user understanding across sessions
• you want a managed or self-hosted memory layer that works with any LLM or framework
• you want MCP-based memory for coding agents like Claude Code or Cursor
• you need reasoning-derived insights about users, not just raw message storage

When to avoid

• you only need simple key-value session state without semantic reasoning
• you want a lightweight in-process memory store with no server dependency
• your project requires a permissive license (AGPL-3.0)
• you cannot provide an LLM provider key, since memory extraction requires one

Facets

service · maturity active

rag vector-database agent-framework mcp state-management api-framework sdk artificial-intelligence large-language-models developer-tools chatbots python self-hosted cloud cli agent-memory long-term-memory continual-learning personalization context-engineering fastapi pgvector embeddings langchain mcp-server ai-agents retrieval-augmented-generation nodejs docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="plastic-labs/honcho")