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EanLee
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agent-memory-mcp

Provide persistent, searchable long-term memory storage for AI agents via MCP server.

Updated Dec 16, 2025
Search Tags:#knowledge management#search#mcp#ai agent#memory#persistence
One-click install
npx skills add https://github.com/EanLee/article-write --skill agent-memory-mcp-eanlee
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-memory-mcp
Source: https://github.com/EanLee/article-write/tree/main/.github/skills/agent-memory-mcp
Command: npx skills add https://github.com/EanLee/article-write --skill agent-memory-mcp-eanlee

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a robust, long-term memory system for AI agents, ensuring that knowledge, decisions, and patterns are persistently stored and easily retrievable.

Core Features & Use Cases

  • Persistent Storage: Stores agent memories beyond a single session.
  • Searchable Knowledge Base: Allows agents to query past decisions, architectural patterns, and learned information.
  • Use Case: An AI agent working on a complex software project can use this skill to recall design decisions made weeks ago, preventing redundant work and ensuring consistency.

Quick Start

Use the agent-memory-mcp skill to search for all memories related to authentication patterns.

Frequently Asked Questions about agent-memory-mcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I add persistent memory to an AI agent?▼

Persistent memory for AI agents is provided by a hybrid memory system that stores knowledge, decisions, and patterns beyond a single session. This enables long-term context retention and consistency across complex software projects.

How does an MCP server handle searchable knowledge management for AI agents?▼

An MCP server handles searchable knowledge management by reading, writing, and searching long-term memories. Agents query this knowledge base to recall architectural decisions and recognize patterns, preventing redundant work.

What do I need to run an agent memory MCP server?▼

To run the agent memory MCP server, you need Node.js v18+ and specific npm packages for installation and server operation. These dependencies enable the persistent and searchable knowledge management functionality.

When do I need persistent memory for AI agents?▼

You need persistent memory for AI agents when working on complex software projects that require recalling design decisions made weeks ago. This prevents redundant work, ensures consistency, and enables pattern recognition across sessions.

Can I search past architectural decisions using an AI agent memory system?▼

Yes, you can search past architectural decisions using the searchable knowledge base. The memory system allows agents to query past decisions and learned information, preventing redundant work and ensuring consistency.

What's the best way to store AI agent memories across sessions?▼

The best way to store AI agent memories across sessions is using a persistent storage system that functions as an MCP server. This enables searchable knowledge management for long-term pattern recognition and architectural decisions.

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