Agentmemory
Summary
Agentmemory offers persistent memory for AI models such as Codex, Hermes, OpenClaw, and Claude, allowing them to maintain long-term context across interactions.
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rohitg00/agentmemory
agentmemory is an open-source persistent memory layer for AI coding agents (Claude Code, Cursor, Gemini CLI, Codex CLI, etc.) that uses knowledge graphs, confidence scoring, and hybrid search to give agents long-term memory across sessions via MCP, hooks, or REST API. Built on the iii engine, it requires no external databases and exposes 51 MCP tools.
@dr_cintas: You can now give Hermes, Claude Code, and Codex infinite memory It's called agentmemory. Records what your agent does d…
Agentmemory is a free, open-source tool that gives AI agents like Hermes, Claude Code, and Codex infinite memory by recording session activity, compressing it with AI, and injecting relevant context into future sessions. It has over 4,000 GitHub stars.
An open source natural temporal memory for claude code, hermes and openclaw agent
agentmemory is an open-source library that provides natural temporal memory for AI agents like Claude Code, Hermes, and OpenClaw. It uses a three-tier architecture with hybrid retrieval (BM25, vector, knowledge graph) and Ebbinghaus decay, achieving ~92% fewer tokens and 200x more tool calls before context limits.
Agent Memory: An Anatomy
An exploration of the components and design decisions behind agent memory libraries, clarifying the gap between cognitive science terminology and engineering implementation.
I kept losing agent memory between sessions, so I built a memory broker that isolates per-agent and survives restarts
The author built HeurChain, a memory broker that provides agent-specific, persistent memory storage for AI agents, surviving restarts and supporting structured and semantic retrieval.