#1 Persistent memory for AI coding agents based on real-world benchmarks
agentmemory is a persistent-memory system that lets AI coding agents retain and search information across sessions. It connects with several coding agents and MCP clients, storing knowledge with confidence scoring, lifecycle handling, knowledge graphs, and hybrid search. The catalogue contains agentmemory integrations such as skills, hooks, commands, a plugin, and an MCP component.
This repository also configures its own agents. See what agentmemory tells them →
Plugin Cursor
Persistent memory for Cursor: auto-captures sessions, prompts, and tool use via hooks, recalls with hybrid BM25 + vector + graph search, and exposes 54 memory tools over MCP. Keyless by default, runs entirely on your machine.