Read · Episode 03
The Brain: what happens when an agent runs out of memory
Robin's own agent started producing garbled output when it hit a hard memory limit — this episode is the story of building it a real memory system.
This episode opens somewhere unexpected — Robin's trip to a blockchain and AI conference in Manila, and a discussion of how differently AI adoption is moving across the US, Europe, Asia, and Australia — before landing on its real subject: what it actually takes to give an AI agent a working memory.
The story: Robin's own Hermes-based agent hit a hard 2,000-character limit on its persistent memory and started producing garbled text. The fix he walks through on the show is a proper memory architecture — a vector-database "world model," a wiki-style knowledge base, and a nightly processing job (he calls it "REM sleep") that consolidates what the agent learned that day. On top of that sits a four-tier classification for what the agent is allowed to remember, from public information through to strictly personal.
It's a rare look at the unglamorous infrastructure problem behind every AI agent that seems to "know" you — memory doesn't happen for free, and this episode is the most concrete build-log the show has done so far.