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Engram

Verified Integration
Author: @cognis-digital•Category: ServerApplication
GitHub Repository
JSON-RPC 2.0
Protocol Standard
Sub-second
Execution Latency
Active
Operational Status
Tags:#Claude#Search#Database#API#Python#Git#Filesystem#AI#GitHub#Node.js

Client Configuration

— Connect Engram to Claude Desktop or Cursor in seconds
{
  "mcpServers": {
    "engram-25": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-engram-25"
      ],
      "env": {}
    }
  }
}
Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).
Architecture & Capabilities

System Overview

Provides durable, model-agnostic long-term memory for AI agents, enabling them to remember facts, observations, and decisions.

Indexed Date

7/23/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for Engram

Model-agnostic means Engram does not require an LLM, a hosted embedding endpoint, or a heavyweight vector store for its memory functions. It works independently, allowing you to wire it with any AI model or rules engine.

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