#1010th of 12 in Memory
Honcho
Memory service modelling users, agents and groups as evolving peers
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- Stars
- 7.6k
- License
- AGPL-3.0
- Last commit
- Oct 2026
- Last release
- Oct 2026
- Language
- Python
Overview
Honcho is a FastAPI memory server where humans and agents are peers that exchange messages in sessions; a background deriver reasons over them and maintains per-peer representations and summaries you query via peer.chat, hybrid search or prompt-ready context. Run it managed at api.honcho.dev, locally with honcho start (API, deriver, Postgres and Redis in Docker) or from source with Docker Compose on port 8000.
Who it is for: Developers building agents that must model individual users over time
Strengths
- First-party plugins for Claude Code, Codex, Cursor, DeepSeek Harness, OpenCode, OpenClaw and Hermes
- Peer model handles multi-participant sessions and what one peer knows about another
- Python and TypeScript SDKs with .to_openai and .to_anthropic context helpers
- honcho start --setup brings up the whole local stack with one command
Weaknesses
- AGPL-3.0 license
- Needs Postgres with pgvector and Redis plus an LLM key for the deriver
- Background reasoning is asynchronous; new messages are not reflected immediately
- README mixes marketing claims (Pareto frontier, data moats) with the technical content
What it needs
- no GPU
- Docker
- Needs PostgreSQL with pgvector, Redis
- Models: Gemini, Anthropic, OpenAI
- port 8000
Also in Memory
See all 12| Rank | Project | Score |
|---|---|---|
| 1 | hindsightAgent memory server with retain, recall and reflect operations | 78 out of 100 |
| 2 | MemPalaceLocal verbatim memory for coding agents on ChromaDB with 45 MCP tools | 77 out of 100 |
| 3 | agentmemoryPersistent memory server for coding agents, exposed over MCP and REST | 75 out of 100 |
| #4 | OpenVikingContext database exposing agent memory, knowledge and skills as a filesystem | 74 out of 100 |
| #5 | Mem0Memory layer for agents with a self-hosted server, SDKs and CLI | 73 out of 100 |