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View guide →Code-context-engine, in Python — built for save 94% on ai coding tokens. index your cod...
code-context-engine is an open-source local llm project by elara-labs (elara-labs/code-context-engine on GitHub). It has 425 GitHub stars and 67 forks, is released under the MIT license, and was last updated on GitHub on 23 August 2026.
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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Free and open — grab the source, star the repo, and start creating.