@dr_cintas: You can now give Hermes, Claude Code, and Codex infinite memory It's called agentmemory. Records what your agent does d…

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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.

You can now give Hermes, Claude Code, and Codex infinite memory 🤯 It's called agentmemory. Records what your agent does during every session. Compresses it with AI. Injects the right context back when the next session starts. 4,000+ GitHub stars. Free. https://t.co/ta8cV2P2gA
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You can now give Hermes, Claude Code, and Codex infinite memory 🤯

It’s called agentmemory.

Records what your agent does during every session. Compresses it with AI. Injects the right context back when the next session starts.

4,000+ GitHub stars. Free. https://t.co/ta8cV2P2gA

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Agentmemory

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Agentmemory offers persistent memory for AI models such as Codex, Hermes, OpenClaw, and Claude, allowing them to maintain long-term context across interactions.

rohitg00/agentmemory

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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.

@billtheinvestor: Give Claude Code and Codex infinite memory, programming efficiency improved by 92%! The Agentmemory tool has quickly gained 4000+ stars on GitHub and is completely free. It saves all information from your coding sessions through smart compression, and automatically extracts relevant context in future sessions, avoiding re...

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Agentmemory is an open-source tool that provides infinite memory for Claude Code and Codex, reducing token usage through intelligent compression, improving programming efficiency, and has gained 4000+ stars on GitHub.