AgentMemory: Open-source persistent memory tool for AI coding agents
By
fmerian
A good honest bake. Not flashy, but you'll finish the whole bagel.
Summary
AgentMemory is an open-source tool that gives AI coding agents (like Claude Code, Codex, Cursor, etc.) persistent memory across sessions, solving the problem of agents forgetting context between sessions. It captures agent actions, compresses them into structured memories, indexes them with hybrid search, and injects relevant context into future sessions. The tool claims up to 95% fewer tokens per session, 200x more tool calls before hitting context limits, and has gained 5,000+ stars on GitHub.
Key quotes
· 4 pulledAgentMemory gives AI coding agents persistent memory across sessions, so they can actually build on what they've already learned about your codebase.
It automatically captures what your agent does, compresses it into structured memories, indexes them with hybrid search, and injects the right context back into future sessions.
At 1,000 observations, 80% of your built-in memories become invisible. agentmemory keeps 100% searchable.
Up to 95% fewer tokens per session → 200x more tool calls before hitting context limits → 100% open source
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