By DorianGallo
Persistent memory for AI coding agents -- captures tool usage, compresses via LLM, injects context into future sessions. 12 hooks, 51 MCP tools, 4 skills, real-time viewer.
Delete specific observations or sessions from agentmemory. Use when user says "forget this", "delete memory", or wants to remove specific data for privacy.
Search agentmemory for past observations, sessions, and learnings about a topic. Use when the user says "recall", "remember", "what did we do", or needs context from past sessions.
Explicitly save an insight, decision, or learning to agentmemory's long-term storage. Use when the user says "remember this", "save this", or wants to preserve knowledge for future sessions.
Show what happened in recent past sessions on this project. Use when user asks "what did we do last time", "session history", "past sessions", or wants an overview of previous work.
Matches all tools
Hooks run on every tool call, not just specific ones
Modifies files
Hook triggers on file write and edit operations
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Your coding agent remembers everything. No more re-explaining.
Built on iii engine
Persistent memory for Claude Code, Cursor, Gemini CLI, Codex CLI, pi, OpenCode, and any MCP client.
The gist extends Karpathy's LLM Wiki pattern with confidence scoring, lifecycle, knowledge graphs, and hybrid search.
agentmemory is the implementation.
Quick Start • Benchmarks • vs Competitors • Agents • How It Works • MCP • Viewer • iii Console • Powered by iii • Config • API
agentmemory works with any agent that supports hooks, MCP, or REST API. All agents share the same memory server.
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