EDUCATION & TRAINING
I Stopped Fighting AI Memory Problems and Started Modeling Them
r/LLMDevs
About This Tutorial
Most AI memory implementations I see are a vector with a retrieval function bolted on. You embed some text, throw it in Chroma or Qdrant, and call it a day. That works until it doesn't, and it stops working faster than people expect. I want to talk about what I actually built for Claw, why I ended up at FalkorDB, and what I learned along the way. Not theory. What happened. The Flat Phase I started with a JSONL fact. Append facts, retrieve by embedding similarity, inject into context. Simple enough. After a few weeks of real use it was a mess.