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Bridge local AI coding agents (Claude Code, Cursor, Gemini CLI, Codex) to messaging platforms (Feishu/Lark, DingTalk, Slack, Telegram, Discord, LINE, WeChat …
★ 15.7k starsUnknown
View guide →MCP graph engine that compounds context across AI coding assistants.
GrapeRoot is an open-source dev tools project by kunal12203 (kunal12203/GrapeRoot on GitHub). It has 1,039 GitHub stars and 122 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 3 September 2026.
Set up the MCP graph engine on your machine.
Link Claude Code, Cursor, Copilot, Gemini, or OpenCode.
Project facts accumulate as you work.
Later sessions inherit everything learned before.
Context stored as a queryable knowledge graph.
Works across Claude Code, Cursor, Copilot, Gemini, OpenCode.
Knowledge grows with every session.
One memory layer for all your assistants.
Graph structure reflects your actual codebase.
Built on MCP for broad compatibility.
Download the source and move into the project folder.
git clone https://github.com/kunal12203/GrapeRoot.git
cd GrapeRootEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandApache 2.0 licensed — commercial use allowed with attribution.
Claude Code, Cursor, Copilot, Gemini, and OpenCode.
Check the repo docs for storage location and whether it stays local.
It is a persistent, compounding graph rather than per-query retrieval.
As a PowerShell-based MCP engine, expect some configuration — the README covers it.
Bridge local AI coding agents (Claude Code, Cursor, Gemini CLI, Codex) to messaging platforms (Feishu/Lark, DingTalk, Slack, Telegram, Discord, LINE, WeChat …
Context engineering is the new vibe coding - it's the way to actually make AI coding assistants work. Claude Code is the best for this so that's what this re…
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Free and open — grab the source, star the repo, and start creating.