AIチャット
LibreChat
Enhanced ChatGPT Clone: Features Agents, MCP, Skills, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI…
★ 45.3k スターMIT
ガイドを見る →code-context-engineは、elara-labsが公開しているオープンソースのローカルLLMプロジェクトです（GitHub: elara-labs/code-context-engine）。GitHubスターは425、フォークは67で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年8月23日です。
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.
Enhanced ChatGPT Clone: Features Agents, MCP, Skills, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI…
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LibreAIカタログに掲載されたローカルLLMプロジェクトの中で最もスターの多いもの — code-context-engineが合わなかった場合に検討したい、現実的な候補リストです。
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カタログの中でcode-context-engineとスター数が近いローカルLLMプロジェクト — 前後の棚もそのまま見て回れます。
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