Kartikk-26/Graphiti-MCP-Demo
This repo demonstrates Graphiti MCP integration with Cursor and Neo4j, storing AI prompts as real-time knowledge graphs for persistent memory.
This project helps AI developers and engineers give their AI agents a reliable, long-term memory. It takes natural language prompts and conversations from tools like Cursor or Claude, processes them, and stores the extracted context as structured knowledge graphs in a Neo4j database. The output is a persistent, queryable memory that helps AI agents understand past interactions and respond more contextually.
No commits in the last 6 months.
Use this if you are an AI developer or engineer building AI agents and need a robust, persistent memory system that can store and retrieve conversational context and structured data over time.
Not ideal if you are looking for a simple, in-memory conversational history for a single-turn chatbot or if you don't use AI agents or knowledge graph databases.
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Last pushed
Sep 17, 2025
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