GBase: Building LLM Agents That Actually Learn from Their Mistakes

Like many developers, I started building LLM agents by stringing together API calls and hoping for the best. It worked, for a while. My agents could browse the web, execute code, and call APIs. They could decompose tasks into sub-steps. Then I hit a wall. Every morning, I would wake up to logs of failures I'd seen the day before. The same buggy code modifications. The same incorrect API parameters. The same flawed reasoning paths — repeated, session after session, as if the agent had learned n...