CONTEXT ENGINEERING FOR AI AGENTS: LESSONS FROM BUILDING MANUS

Summary from the TLDR Web Dev newsletter

Manus is an AI agent that had improved performance through context engineering techniques. The devs optimized the KV-cache hit rate by maintaining a stable prompt prefix with append-only context. They advise against dynamically changing the action space. The file system should be used as an extended memory, along with recitative methods to manipulate attention.