Graph-Mem MCP server
io.github.Sathvik-1007/graphmem-mcp·v1.0.0·1 starsPersistent knowledge-graph memory for AI agents, with local semantic search. No API keys.
1 stars21 downloads/wk
Reviews
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If you have run it, two minutes of your experience saves the next person an afternoon.
Graph-Mem tools (2)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
decoratorswitch_graphSwitch the active knowledge graph.
Public scan report
scanner v0.1.9 · 2026-09-25 · same rubric, same numbers if you re-run it
- Code scan67 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 66 days ago12/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
How Graph-Mem compares
Against every graded Web search MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 88/100
- higher than 80% of 3,470 Web search servers
- Tools
- 2
- the typical Web search server has 5
- Tools that change things
- 0%
- typical: 0%. Fewer write tools means less an agent can break
- GitHub stars
- 1
- more than 55% of 1,786 Web search servers
- Downloads a week
- 21
- more than 8% of 827 Web search servers with a package
What its tools let an agent do: 2 read
Install Graph-Mem in Claude Code, Cursor or VS Code
claude mcp add graphmem-mcp -- uvx graphmem-mcp
What the publisher says
From the Graph-Mem repository's README, as published. We do not edit it. Read it on GitHub
Graph-Mem MCP
<!-- mcp-name: io.github.Sathvik-1007/graphmem-mcp -->
Persistent knowledge graph memory for AI agents and IDEs
Graph-Mem MCP is a universal MCP server that gives any agent or IDE persistent, structured memory through a knowledge graph. It combines graph storage, semantic vector search, and multi-hop traversal in a single package — install it, add it to your MCP config, and your agent gains memory that survives across sessions. It works everywhere MCP does.
Built To Be Trusted With Your Data
Works With
graph-mem is a standard MCP server, so it works with any MCP-compatible agent, IDE, or framework. graph-mem install additionally writes the skill file straight into the right place for these 13, each at a path cited against the vendor's own documentation:
Claude Code OpenCode Cursor Windsurf Codex CLI Gemini CLI GitHub Copilot Amp Kiro Roo Code Continue Antigravity Droid (Factory) add yours →
Using something else? The MCP config below is all you need; the skill file is a convenience, not a requirement. Adding your agent to the installer takes a documented path and about ten lines — see Adding an Agent.
What is this?
AI agents forget everything between sessions. They re-read files, re-discover architecture, and repeat mistakes. Graph-Mem MCP solves this by providing persistent, per-project knowledge graphs that any MCP-compatible agent can read and write to. The graph builds organically as the agent works — extracting entities, decisions, and relationships from every conversation. It runs as a standard MCP server with 28 tools that plug into any agent, IDE, or framework that supports the Model Context Protocol.
Why a graph, not just a vector store?
Vector search finds similar things. Graphs find connected things. When an agent asks "what depends on the auth service?", a vector store returns text that mentions auth. A knowledge graph traverses the actual dependency edges and returns every upstream consumer — even ones that never mention "auth" in their description. Graph-Mem gives you both: vector similarity for fuzzy discovery, graph traversal for structural queries.
Use Cases
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Graph-Mem: common questions
- Is Graph-Mem MCP server safe?
- Yes, by our scan: it is graded A (88/100). Read the Graph-Mem safety report
- How do I install Graph-Mem?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Graph-Mem need an API key?
- No secret keys are declared. It reads 4 settings from the environment.
- Is Graph-Mem maintained?
- The last commit was 106 days ago (2026-07-21). The latest release is v1.0.0.
- What can I use instead of Graph-Mem?
- Servers from other publishers that do the same job: Octocode MCP server, Crg MCP server and Shodh Memory MCP server.
- How does Graph-Mem compare with other Web search MCP servers?
- safety score 88/100 (higher than 80% of 3,470 Web search servers); tools 2 (the typical Web search server has 5); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.
Alternatives to Graph-Mem
Same job from other publishers: the closest match first, then the best rated.
- not reviewedEstablishedA
- CrgToken-efficient code review knowledge graph: semantic search and call-graph resolution.not reviewedEstablishedB
Shodh MemoryCognitive memory for AI agents — semantic search, Hebbian learning, knowledge graphs.not reviewedEstablishedC- ReverieGraph memory that dreams: Neo4j knowledge-graph memory for AI agents with hybrid searchnot reviewedEstablishedB
- CodeseekerGraph-powered code intelligence with semantic search and knowledge graph for AI assistantsnot reviewedGrowingC
