rohitg00/agentmemory

#1 Persistent memory for AI coding agents based on real-world benchmarks

About the project

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.

Latest release v0.9.30 · 6 Oct 2026

1 file for Codex and OpenCode: agentmemory AGENTS.md — 1,780 tokens loaded in every session.

29,595Stars on the repository
1Files it configures its agents with
1,780Tokens loaded in every session
2Agents configured

Instructions

These files are rohitg00/agentmemory's own configuration — they tell Codex and OpenCode how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.