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tverney/mcp-agent-memory

by Various

MCP that brings persistent agent memory to Kiro, Claude Desktop, Cursor, and any MCP client β€” powered by agent-memory-daemon 🧠

T

MCP

tverney/mcp-agent-memory

Added 1 June 2026

#agent-memory #ai-agents #bedrock #kiro #kiro-cli #kiro-ide #llm-tools #mcp

Overview

An MCP server that provides persistent memory for AI agents across MCP-compatible clients like Kiro, Claude Desktop, and Cursor. It stores and retrieves agent state using a daemon process, enabling long-running conversations and context retention.

Best for

Best for
Developers using MCP clients who need persistent agent memory across sessions

Use cases

  • Maintain agent memory across Claude Desktop sessions
  • Persist conversation context in Cursor for ongoing coding tasks
  • Share agent state between different MCP clients

How to use

Install

npm install -g mcp-agent-memory

Tools exposed

  • MEMORY_DIRECTORY
  • SESSION_DIRECTORY

Tested with

Claude Desktop, Cursor, ChatGPT

Example client config

{}

Notes

An MCP server that provides persistent memory for AI agents across MCP-compatible clients like Kiro, Claude Desktop, and Cursor. It stores and retrieves agent state using a daemon process, enabling long-running conversations and context retention.

3 stars on GitHub. Last updated 2026-05-23. Licensed MIT.

Use cases

  • Maintain agent memory across Claude Desktop sessions
  • Persist conversation context in Cursor for ongoing coding tasks
  • Share agent state between different MCP clients

Pros

  • Works with multiple popular MCP clients out of the box
  • Simple setup as a standalone MCP server
  • Enables persistent memory without client-specific hacks

Cons

  • Requires running a separate daemon process
  • Limited to MCP-compatible clients only
  • Small community with only 3 GitHub stars

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Works with multiple popular MCP clients out of the box
  • Simple setup as a standalone MCP server
  • Enables persistent memory without client-specific hacks

Cons

  • Requires running a separate daemon process
  • Limited to MCP-compatible clients only
  • Small community with only 3 GitHub stars
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