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★ 45,3 k étoilesMIT
Voir le guide →code-context-engine est un projet de LLM locaux open source, créé par elara-labs (elara-labs/code-context-engine sur GitHub). Il compte 425 étoiles sur GitHub et 67 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 23 août 2026.
Code-context-engine, in Python — built for save 94% on ai coding tokens. index your cod...
Fetch the source code onto your machine.
Set up the Python environment the project needs.
Copy the sample config or env file and adjust it.
Start the app from the source directory.
Built around ai coding for a focused workflow.
Built around claude for a focused workflow.
Built around claude code for a focused workflow.
Built around code indexing for a focused workflow.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Get the source on your machine.
git clone https://github.com/elara-labs/code-context-engine.gitSet up Python dependencies.
cd code-context-engine && pip install -r requirements.txtLaunch the application.
cd code-context-engine && python main.pyIt save 94% on AI coding tokens. Index your codebase, agents search instead of reading files. Works with Claude Code, Codex, Copilot, Cursor, Gemini CLI. Local MCP server, free, open source, giving you a working starting point you can run and adapt.
Yes — the code is open-source, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in Python, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.