New research 🚀 from the ACE (Agentic Context Engineering) team at Stanford We took the failure lessons out of an LLM agent's memory, and it got better! 📈 Why? We find that failure recovery tips could hurt LLM agent performance when they sit in context all the time, even when nothing is going wrong. So we build Sentry 🛡️: a test-time framework that recovers LLM agents from failures. It keeps failure knowledge outside the agent and only steps in when a failure actually happens. On average: +39% over our own ACE, +37% over the best runtime-intervention baseline. 📄 Paper: arxiv.org/pdf/2610.02994 💻 Code: github.com/nuglifeleoji/Sent… Demo Here!!!!!!! More details below 🧵 (1/N)