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AgentRecall

Verified Integration
Author: @scoring•Category: ServerApplication
GitHub Repository
JSON-RPC 2.0
Protocol Standard
Sub-second
Execution Latency
Active
Operational Status

Client Configuration

— Connect AgentRecall to Claude Desktop or Cursor in seconds
{
  "mcpServers": {
    "agentrecall": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-agentrecall"
      ],
      "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 AI session memory with quality loops to enable agents to retain context and decisions across sessions.

Indexed Date

7/21/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for AgentRecall

AgentRecall provides AI agents with persistent session memory and quality loops. It enables them to retain context, decisions, and project history across multiple sessions, eliminating the costly and time-consuming need for constant re-explanation and improving agent consistency and performance.

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