@elementalcollision
基本信息
AI-assisted development MCP providing long-term, on-device "AI memory" for IDEs. Powered by Kuzu GraphDB and exposed via MCP server
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"GraphMemory-IDE": {
"command": "docker",
"args": [
"compose",
"up",
"-d"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
GraphMemory-IDE is an AI-assisted, long-term memory MCP (Model Context Protocol) server for IDEs, powered by the Kuzu graph database. It provides semantic vector search, graph-based knowledge storage, and real-time analytics, integrating with VSCode, Cursor, and Windsurf through dedicated plugins.
Deploy with Docker (recommended): clone the repository, navigate to docker/, and run docker compose up -d. For local development, install dependencies with pip install -r requirements.txt, start the FastAPI server with uvicorn server.main:app --host 0.0.0.0 --port 8080 --reload, and optionally launch the Streamlit dashboard separately. Required environment variables include JWT_SECRET_KEY, DATABASE_URL, REDIS_URL, and KUZU_DB_PATH.
GraphMemory-IDE is a dedicated MCP server that combines a Kuzu graph database with semantic vector search, optional Codon-accelerated graph algorithms, and real-time analytics dashboards. It is designed specifically for IDE integration and offers multi-plugin support out of the box.
Python 3.11 or higher, with dependencies in `requirements.txt`. Codon is optional but recommended for high-performance graph algorithms; if not compiled, all operations fall back to NetworkX and numpy. Docker Compose is available for production deployment with PostgreSQL, Redis, Prometheus, and Grafana.
Graph data is stored in a Kuzu database at the path specified by `KUZU_DB_PATH` (default `./data/kuzu`). Relational data and sessions are stored in PostgreSQL (default SQLite) and Redis cache respectively.
Yes, the FastAPI server uses JWT authentication with EdDSA/Ed25519 signing. A `JWT_SECRET_KEY` environment variable must be configured.
Codon acceleration requires manual compilation of native libraries via `./scripts/build_codon.sh` and is only beneficial for graphs larger than 100 nodes (configurable). The system is designed for IDE-integrated use; direct API access is available but intended for plugin and dashboard communication.
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