I modelled my agent's memory on a literal brain

Hey Product Hunt

So last July I started building a custom Next.js app to run an AI agent called Bobo to help me manage my advisory practice. It worked pretty well... except for one thing that kept driving me crazy.. every new session i would start Bobo would wake up confused with what is actually relevant to the conversation i want to have with it, now.

No memory of what we talked about yesterday, what deals were in the pipeline, what commitments were made. I'd spend the first 5 minutes of every session re-explaining everything or copy pasting stuff. I kept trying different approaches and eventually landed on modelling the memory around a literal brain.

Three layers — daily notes as raw memory, a rolling synthesis as working memory (I called it the hippocampus), and permanent memory for things that stuck around long enough to matter. It actually worked. Bobo started waking up knowing what was going on.

But... as fun as it was building all this, I'm not a software engineer. I had initially had everything in markdown format in a github repo that i would use claude code from but then managing the cron jobs manually was a mission so i started building the next.js app .. which is a full time job in it self!

When OpenClaw, I started migrating everything over all the files and contexts.. but also the patterns and workflows i've been building.

Hippocampus is that pattern turned into a plugin. One install, your agents get a daily-synthesized briefing injected into every session — what's top of mind, what's open, what's owed. Not a log dump, a briefing.

Over the coming weeks I'll be deploying other parts of the brain. Would love to hear what your agent memory setup looks like today. but otherwise give hippocampus a go!

openclaw plugins install @sacheeperera/hippocampus