agent-memory-mcp

To give an AI agent persistent memory across sessions, you can use a hybrid memory system that operates as an MCP server to read, write, and store searchable knowledge long-term.

The best way to search past architectural decisions is to use a searchable knowledge base that automatically syncs with project documentation, allowing agents to query past patterns and architecture.

An MCP server manages long-term knowledge for AI agents by providing a hybrid memory system that facilitates reading, writing, and searching persistent memories synced with project documentation.

Yes, you can sync project documentation automatically with an AI memory knowledge base to ensure architecture, patterns, and decisions are consistently updated and searchable by the agent.

Yes, you need npm installed in your environment to set up and run this persistent memory MCP server, as it is a required dependency for managing the skill's scripts and components.

Your AI agent forgets design decisions because it lacks a persistent memory bank; implementing a searchable knowledge base via an MCP server allows it to store and recall past decisions.