An open source natural temporal memory for claude code, hermes and openclaw agent
Summary
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.
Similar Articles
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.
Agentmemory
Agentmemory offers persistent memory for AI models such as Codex, Hermes, OpenClaw, and Claude, allowing them to maintain long-term context across interactions.
Agent Memory Atlas - what should an agent remember?
Claude investigated 61 repos of agent memory systems (including OpenClaw, Hermes, Pi) to analyze how their memory works, aiming to help developers build their own implementations.
What memory you're using with your Openclaw?
A developer discusses building a custom memory plugin for the Hermes agent using Engram, which reconciles new information with existing memories to avoid staleness and duplication, and asks the OpenClaw community about their memory usage.
@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.