Agentes de IA
hindsight
Agent memory that learns — so your agents get smarter over time.
★ 47,0k estrellasMIT
Ver la guía →honcho es un proyecto de agentes de IA de código abierto de plastic-labs (plastic-labs/honcho en GitHub). Tiene 7.536 estrellas en GitHub y 928 bifurcaciones, se publica bajo la licencia AGPL-3.0 y se actualizó por última vez en GitHub el 8 de octubre de 2026.
Honcho — Plastic Labs' memory library for stateful agents that learn about their users over time.
Decide managed versus self-hosted, and model your world as peers and sessions — typically your users and your agent as peers exchanging messages.
Clone plastic-labs/honcho from GitHub (or use the install path in the run steps below) and skim its README for the parts relevant to your goal.
Install the SDK for your language; for self-hosting, clone the repo and start it with Docker Compose, then point the SDK at your local base URL.
Store a few messages on a session, let background reasoning run, then query Honcho for what it knows about that peer and inject the context into a prompt.
Store messages, let asynchronous background reasoning build understanding, query it, and inject prompt-ready context into any model.
Memory is organised around peers (users, agents) and their sessions, rather than a flat chat log.
Use the managed api.honcho.dev service, or self-host from source with Docker Compose or a local dev setup.
pip install honcho-ai, or npm install @honcho-ai/sdk, with equivalent workflows in both languages.
Documented integrations add Honcho memory to Claude Code, Codex and Cursor via dedicated packages and install scripts.
Aims at continual, cross-session memory and context engineering rather than one-conversation chat history.
Get the source from the official GitHub repository for honcho.
git clone https://github.com/plastic-labs/honcho.git
cd honchoInstall the Python SDK as the README quickstart shows (TypeScript: npm install @honcho-ai/sdk).
pip install honcho-aiClone the repo and start the full service locally with Docker Compose, then set HONCHO_URL or base_url to your instance.
git clone https://github.com/plastic-labs/honcho.git
cd honcho
docker compose up # see README self-hosting sectionplastic-labs (Plastic Labs), through the plastic-labs/honcho repository, with docs at honcho.dev/docs.
Yes — the project is open source under the AGPL-3.0 license as recorded for this listing. See the license terms for any conditions on redistribution.
The managed service uses api.honcho.dev (account/API key). Self-hosting is free under AGPL-3.0 and runs on your own infrastructure; reasoning uses models you configure there.
A database stores raw history; you still build recall, summarisation and context assembly. Honcho adds the reasoning layer — it processes messages in the background so queries return understanding and prompt-ready context, not just logs.
Clone the repository (or use the documented installer), follow the install and configure steps on this page, and run the smallest real task first — store a few messages on a session, let background reasoning run, then query Honcho for what it knows about that peer and inject the context into a prompt.
Agent memory that learns — so your agents get smarter over time.
Stateful AI agents with memory that learns and improves.
Team memory for engineers and their AI agents.
LangMem: long-term memory primitives for LangGraph agents that learn and adapt from conversations.
Real-time knowledge graphs that give agents a memory with structure.
30 runnable notebooks teaching everything about agent memory.
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Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.