MemoGraph is an intelligent personal memory management system for Large Language Models (LLMs) that transforms markdown notes into a queryable, graph-based knowledge base. It enables LLMs to access contextually relevant information from your personal knowledge vault using hybrid retrieval techniques.
This repository also configures its own agents. See what MemoGraph tells them →
MCP server Claude CodeCodexCursor +2
One of 3 in .mcp.json
MCP server "memograph-windows" as configured in Indhar01/MemoGraph. Launched with py -3.11 -m memograph.mcp.run_server --vault ~/memograph-vault.
MCP server Claude CodeCodexCursor +2
One of 3 in .mcp.json
MCP server "memograph-macos" as configured in Indhar01/MemoGraph. Runs memograph.mcp.run_server with python3.
MCP server Claude CodeCodexCursor +2
One of 3 in .mcp.json
MCP server "memograph-linux" as configured in Indhar01/MemoGraph. Runs memograph.mcp.run_server with python3.
MCP server Claude CodeCodexCursor +2
A graph-based memory system for LLMs with intelligent retrieval using knowledge graphs, hybrid search, and semantic embeddings. Runs locally from the memograph Python package. Needs 7 environment variables to run.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: