graphiti

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graphiti is an MCP server by getzep. Build Real-Time Knowledge Graphs for AI Agents. It has 32,176 GitHub stars and ranks #12 of 1287 in Memory & Knowledge by stars.

Category
Memory & Knowledge
Author
getzep
GitHub stars
32,176
This week
Tracking since 24 Oct 2026
Language
Python
License
Apache-2.0 (open source)
Last update
2026-10-24 (today)
Links
SourceWebsitePyPI

How to install graphiti

graphiti is published on PyPI as iflow-mcp_graphiti-core, and it depends on mcp. These steps assume it runs as a local stdio server, which is the usual setup.

  1. Check the README. Confirm the start command and note any API keys or environment variables it needs (pass them with -e KEY=value or an env block). You need uv for uvx.
  2. Add it to Claude Code from a terminal:
    claude mcp add graphiti -- uvx iflow-mcp_graphiti-core
  3. Or add it to Cursor or Claude Desktop in .cursor/mcp.json or claude_desktop_config.json:
    {
      "mcpServers": {
        "graphiti": {
          "command": "uvx",
          "args": [
            "iflow-mcp_graphiti-core"
          ]
        }
      }
    }
  4. Restart the client and check it. Run claude mcp list, or open the client's MCP settings, and confirm graphiti and its tools are listed. The install guide covers VS Code and Codex.

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Frequently asked questions

What is graphiti?

graphiti is an MCP server by getzep in the Memory & Knowledge category. Build Real-Time Knowledge Graphs for AI Agents. It has 32,176 GitHub stars and ranks #12 of 1287 in Memory & Knowledge by stars. It is written in Python. It is licensed under Apache-2.0. It was last updated today.

Is graphiti free and open source?

Yes. graphiti is published under the Apache-2.0 license, so you can run, modify and self-host it at no cost. If it connects to a paid service, that service's own pricing and API terms still apply. Check the repository for the exact license text before using it commercially.

What are the alternatives to graphiti?

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