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Knowledge graphs are insanely good at giving agents human-like memory! Today, we're building an MCP-powered memory layer that can be shared across all your AI apps like Cursor, Claude Desktop etc. It's built using a real-time knowledge graph. 100% open-source and self-hosted.
156,446 просмотров • 1 год назад •via X (Twitter)
Комментарии: 11

Tech stack: - @zep_ai's Graphiti as a memory layer - @neo4j to store the knowledge graph - @Docker to self host the MCP server Find all the code here:

@neo4j @Docker If you found it insightful, reshare with your network. Find me → @akshay_pachaar ✔️ For more insights and tutorials on LLMs, AI Agents, and Machine Learning!

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This is much needed functionality to work across multiple MCP hosts. Great way to solve it. Thanks Akshay

Absolutely! 💯 You don't have to switch context while switching apps!

Memory layer that can be shared across all the AI apps. This is Incredible. Thanks for sharing Akshay, Great demo!

Thank You Sumanth! 🙏

The downside to using knowledge graphs is that there aren't any good graph databases on the market. Neo4j is expensive, power-hungry, and not very flexible, good open source alternatives are needed

this is savage

Wow! This is Amazing

Glad you liked it Arindam!
