AgentMemory
Persistent memory for AI coding agents, with benchmarks and local-first workflows.
AgentMemory overview
AgentMemory is an open-source persistent memory layer for AI coding agents. It focuses on helping tools like Claude Code, Codex, Cursor, and related coding agents remember project context, decisions, and reusable knowledge across sessions.
Coding-agent focus
AgentMemory is framed around coding assistants rather than generic chatbot memory.
Repository conventions, architecture decisions, and implementation notes need a different memory model than casual chat.Persistent context
The project is designed to carry knowledge between agent sessions.
Persistent context reduces repeated onboarding and makes long projects less fragile.Benchmark-oriented positioning
The project emphasizes real-world memory benchmarks for coding agents.
Memory products are easy to overclaim; benchmarks help teams inspect actual workflow impact.When to use AgentMemory
Repository memory
Store coding conventions, known pitfalls, and design decisions for future agent sessions.
Team continuity
Share durable agent context across multiple developers working in the same codebase.
Memory evaluation
Compare how much persistent memory improves coding-agent task completion.
How it compares
Compare it with nearby memory systems by looking at hosting model, integration surface, license, and whether the official docs show the workflow you need.
Questions
Is AgentMemory open source?
Yes. The repository is listed under the Apache-2.0 license.
What is AgentMemory best for?
It is best for teams using coding agents on repositories where project context changes slowly and matters across sessions.