Agent Memory

Verified Integration

Author: @spawning•Category: ServerApplication

GitHub Repository

JSON-RPC 2.0

Protocol Standard

Sub-second

Execution Latency

Active

Operational Status

Client Configuration

— Connect Agent Memory to Claude Desktop or Cursor in seconds

{
  "mcpServers": {
    "agent-memory-6": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-agent-memory-6"
      ],
      "env": {}
    }
  }
}

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).

Architecture & Capabilities

System Overview

Empower AI agents with persistent, searchable memory using PostgreSQL and pgvector, ensuring they can recall facts, prompts, and documents across sessions.

Indexed Date

7/21/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for Agent Memory

It employs a hybrid search mechanism, combining vector similarity (semantic search) with BM25 keyword search. This powerful combination ensures optimal recall, effectively finding both conceptually similar information and exact term matches within an agent's memory.

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