GraphMemory-IDE
Active·★ 14·MIT·Updated 2026-03-15
★ Hidden Gem★ Memory & Context★ Data Processing
AI-assisted development MCP providing long-term, on-device "AI memory" for IDEs. Powered by Kuzu GraphDB and exposed via MCP server
GraphMemory-IDE is an AI-assisted long-term memory system for IDEs, powered by Kuzu graph database. It provides semantic vector search, graph-based knowledge storage, and real-time analytics. It integrates with VSCode, Cursor, and Windsurf via MCP protocol.
#codon#codon-optimization#cursor#database#graph#mcp#mcp-server#mcp-servers
01
Features
01Graph-based memory storage with semantic vector search
02Codon-accelerated graph algorithms for 10-100x speedups
03FastAPI backend with JWT authentication and security middleware
04Real-time analytics via WebSocket and SSE streaming
05Multi-IDE plugin support for VSCode, Cursor, and Windsurf
02
Compatibility
VSCode
VSCode
Verified via docs
Cursor
Cursor
Verified via docs
Windsurf
Windsurf
Verified via docs
03
Quick start
1
$ git clone https://github.com/elementalcollision/GraphMemory-IDE.git
2
$ cd GraphMemory-IDE/docker
3
$ docker compose up -d
04
Use cases
↳AI-assisted context management during code development
↳Graph-based dependency analysis and knowledge graph exploration
↳Real-time monitoring and telemetry of IDE usage
05
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Comments
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- SSasha ZhangMay 16, 2026
On-device means the memory is private and always available.
- RRiley WilsonMar 28, 2026
Good for developers who want their IDE to remember code patterns and decisions.
- PPeyton LeeMar 23, 2026
Graph-based memory captures relationships between code concepts, not just facts.
- DDrew NguyenMar 4, 2026
Long-term, on-device AI memory for IDEs via graph structure.