u/pinglin02

Agent memory can be really a rabbit hole. If you simply follows how Claude Code, Codex, Pi, OpenClaw, etc., implemented it, i.e., the file-based paradigm, your agent will likely recall badly when it has lots to remember.

Eventually, I have come up with my own hybrid memory system, and moved toward a RL-based approach for long-term agentic task.

I thought this might be of interest to share with the forum before anyone goes down a rabbit hole again.