Agents IA
magic-context
Self-managing, unbounded context and long-term memory for coding agents: one session, for life.
★ 2,3 k étoilesMIT
Voir le guide →claude-mem est un projet de agents IA open source, créé par thedotmack (thedotmack/claude-mem sur GitHub). Il compte 97 934 étoiles sur GitHub et 8 612 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 7 octobre 2026.
Give your coding agents a persistent memory that survives every session.
Be clear about the problem you are solving before installing.
Clone the repository and skim the docs for hardware or key requirements.
Install dependencies, then add API keys, endpoints, or local-model settings.
Launch the example flow and verify the output matches expectations.
Captures session activity and re-injects relevant context later.
Summarizes sessions so memory stays compact and relevant.
Works with Claude Code, Codex, Gemini, Copilot, OpenCode, and more.
Uses ChromaDB as its vector memory store.
A modern TS implementation that is easy to extend.
Permissive open-source licensing.
Download the source and move into the project folder.
git clone https://github.com/thedotmack/claude-mem.git
cd claude-memInstall the TypeScript dependencies.
npm installBuild the project and follow the README to hook it into your agent CLI.
npm run build
# see README for per-agent setupIt is maintained by thedotmack at thedotmack/claude-mem, with 8,612 forks. Review the contributors and release cadence to judge maintenance health.
Yes. It is released under the Apache-2.0 license, which permits commercial use, modification, and redistribution. Read the LICENSE file for the exact terms.
You need model access for the compression and injection steps — typically your existing agent CLI subscription or API keys. Check the README for what it calls.
It is self-hosted and agent-CLI oriented, with local ChromaDB storage. Compare on retention quality, latency, and which agents each option supports.
Clone the repo, run npm install, and follow the README to connect it to the agent CLI you use.
Self-managing, unbounded context and long-term memory for coding agents: one session, for life.
Agentic memory for LLM agents, from a published research project.
Drop-in persistent memory infrastructure for AI agents and apps.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.