Anamne

Verified Integration

Author: @storing•Category: ServerApplication

GitHub Repository

JSON-RPC 2.0

Protocol Standard

Sub-second

Execution Latency

Active

Operational Status

Client Configuration

— Connect Anamne to Claude Desktop or Cursor in seconds

{
  "mcpServers": {
    "anamne": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-anamne"
      ],
      "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 a local-first, brain-inspired memory layer that enables AI tools to retain context and facts across sessions, models, and machines.

Indexed Date

7/21/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for Anamne

Anamne prioritizes your privacy by storing all data, including its SQLite and ChromaDB components, entirely on your local machine. This means no SaaS dependencies, no data leaving your control, and full local ownership of your AI's memory.

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