Smriti-MCP

Smriti is a Model Context Protocol (MCP) server that provides persistent, graph-based memory for LLM applications. Supports LadybugDB, Neo4j, and FalkorDB backends with EcphoryRAG-inspired multi-stage retrieval, combining cue extraction, graph traversal, vector similarity, and multi-hop association - for human-like memory recall.

7 stars GoOthers Updated Jul 15, 2026

No README could be loaded. View the project on GitHub for full documentation.

Frequently asked questions

What is Smriti-MCP?

Smriti-MCP is Smriti is a Model Context Protocol (MCP) server that provides persistent, graph-based memory for LLM applications. Supports LadybugDB, Neo4j, and FalkorDB backends with EcphoryRAG-inspired multi-stage retrieval, combining cue extraction, graph traversal, vector similarity, and multi-hop association - for human-like memory recall.

How do I install Smriti-MCP?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is Smriti-MCP open source?

Yes — it is hosted on GitHub at https://github.com/tejzpr/Smriti-MCP and has 7 stars.

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