Agent Memory Mcp

This is a persistent knowledge store for AI agents that runs as an MCP server, letting you search, write, and retrieve structured memories across sessions. It's designed for tracking architecture decisions, patterns, and context that would otherwise get lost between conversations. The setup involves cloning a repo, running an npm server with your project ID, and then Claude can query it like "find all authentication patterns" or save new decisions with tags. There's also a localhost dashboard to visualize what's been stored. Useful if you're working on a long-running project where the agent needs to remember design choices and accumulated knowledge rather than starting fresh every time.