#363 · Primary category: AI Coding Assistants

GrapeRoot

ai-coding claude-code context-engine copilot cursor gemini graperoot mcp

Compounding Context for AI Coding Assistants — MCP graph engine for Claude Code, Cursor, Copilot, Gemini, OpenCode

Project last updated:08/04/26

GitHub Stars

1.0K

Forks

123

Contributors

4

License

Apache-2.0

Why we included this project

If your coding assistant spends its first several turns hunting for the right files, GrapeRoot is worth a look. It sits between you and the assistant, building a semantic graph of the project's files, symbols, imports, and call chains, then packing the relevant code into each prompt before the assistant ever sees your question. Because the graph remembers which files were already read and edited, context builds up across a session instead of being rebuilt from scratch, which cuts turns, tokens, and cost while keeping answer quality steady. It runs fully locally and plugs into a wide range of assistants, from Claude Code and Cursor to Copilot and Gemini, so teams can adopt it without abandoning their current workflow. For anyone working in a large or unfamiliar codebase, that's a practical way to make the assistant start reasoning immediately.

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