I Gave My AI More Memory. It Got Dumber. Here's Why.

The Truth About RAG and Context Windows You Won't Hear on Twitter Everyone in the developer space thinks maxing out an LLM's context window makes their application smarter. It actually makes it dumber. I recently modified the architecture of my personal AI agent stack, specifically bumping the context window from 200k tokens to 1 million tokens in my openclaw.json config. The assumption was that injecting my entire project repository and past API integrations into the prompt would result in flawless, context aware execution. Instead, the agent drifted. Why 200k Outperforms 1M in Production When I pushed the payload to 1 million tokens, the latency obviously spiked, but the real issue was precision. The model started hallucinating variables and missing explicit instructions that were clearly defined at the end of the prompt. It felt like a severe degradation in attention span. The counterintuitive lesson here for anyone building AI agents is that constraints create focus. A tighter cont