Why Your LLM Agent Forgot What It Did 5 Steps Ago

If you’ve tried moving an autonomous LLM agent from a local Jupyter Notebook demo to a production environment, you’ve hit the wall. You give your agent a complex, multi-step task. Step 1 works beautifully. Step 2 is flawless. By Step 5, it completely forgets the JSON payload it generated in Step 2, hallucinates a variable that hasn't existed since 2018, and crashes your workflow. You stare at the logs thinking: "The model literally knew this three turns ago. Why did it forget?" The answer is con