A memory for AI sessions that refuses to be clever
I built my AI assistant a memory that stores, inserts, and retrieves, and deliberately never analyzes. That restraint is why it survives daily use.
Building memory for AI sessions: what worked, what didn't, and the system that came out of it.
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I built my AI assistant a memory that stores, inserts, and retrieves, and deliberately never analyzes. That restraint is why it survives daily use.
I spent months on eighty thousand words of architecture and a 2,700-line Rust PDF parser. The AI document app they were for never opened a window.
I built an AI memory system, then measured it: 97% information loss, one truncated knowledge item per document, zero graph edges. This is the teardown.
What would it take to give an AI a memory that lasts? A three-phase idea borrowed from the brain, with a rough Postgres and pgvector prototype underneath.