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tejzpr/Smriti-MCP

Score: 54.8 Rank #28

Smriti is a Model Context Protocol (MCP) server that provides persistent, graph-based memory for LLM applications. Built on LadybugDB (embedded property graph database), it uses EcphoryRAG-inspired multi-stage retrieval - combining cue extraction, graph traversal, vector similarity, and multi-hop association - to deliver human-like memory recall.

Overview

tejzpr/Smriti-MCP is a Go MCP server licensed under MPL-2.0. Smriti is a Model Context Protocol (MCP) server that provides persistent, graph-based memory for LLM applications. Built on LadybugDB (embedded property graph database), it uses EcphoryRAG-inspired multi-stage retrieval - combining cue extraction, graph traversal, vector similarity, and multi-hop association - to deliver human-like memory recall.

Ranked #28 out of 104 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Go MPL-2.0

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 3

3 stars → early stage

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

Forks 1
Description Detailed
License MPL-2.0

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge

AgentRank score for tejzpr/Smriti-MCP
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Matched Queries

"mcp server""mcp-server""model context protocol""model-context-protocol"

From the README

<p align="center">
  
</p>

<h1 align="center">Smriti MCP</h1>

<p align="center">
  <a href="https://go.dev/"></a>
  <a href="https://opensource.org/licenses/MPL-2.0"></a>
  <a href="https://modelcontextprotocol.io/"></a>
  <a href="https://hub.docker.com/r/tejzpr/smriti-mcp"></a>
  <a href="https://github.com/tejzpr/smriti-mcp/actions"></a>
</p>

<p align="center"><strong>Graph-Based AI Memory System with EcphoryRAG Retrieval and Leiden Clustering</strong></p>

Smriti is a Model Context Protocol (MCP) server that provides persistent, graph-based memory for LLM applications. Built on [LadybugDB](https://ladybugdb.com) (embedded property graph database), it uses [EcphoryRAG](https://arxiv.org/abs/2510.08958)-inspired multi-stage retrieval — combining cue extraction, graph traversal, vector similarity, and multi-hop association — to deliver human-like memory recall. Smriti uses the [Leiden algorithm](https://en.wikipedia.org/wiki/Leiden_algorithm) for automatic community detection, enab
Read full README on GitHub →
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