πŸ€–

Smriti

πŸ”΄Dangerous
AI & Machine Learning

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.

STEP 1

Understand what it does

Tell your agent things like:

β†’β€œuse smriti”
β†’β€œgenerate text”
β†’β€œanalyze with AI”
β†’β€œuse machine learning”
PERMISSIONS

What this capability can access

This capability requires the following permissions:

This capability has elevated permissions including Execute Code, System Administration. Review the permissions below carefully before granting access to your agent.

⚑
Execute Code
Runs arbitrary code or scripts
βš™οΈ
System Administration
Modifies system configuration or infrastructure
STEP 2

Set it up

Available on 1 platform. Pick yours:

MCP (Model Context Protocol)Docs

Add to your MCP client configuration:

{
  "mcpServers": {
    "smriti": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-smriti"]
    }
  }
}
STEP 3

Go deeper

Full documentation and source code

Add to your README

Show that your tool is listed on AgentSift

Smriti trust score on AgentSift
[![AgentSift](https://agentsift.com/api/badge/capability/smriti)](https://agentsift.com/capabilities/smriti)

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#mcp#agent-tool#ai-ml

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