Context Engineering for AI Agents - from LangChain vs Manus

Join Lance from LangChain and Pete from Manus as they dive deep into the crucial discipline of Context Engineering for building effective AI agents. This webinar explores the challenge of context explosion—where performance drops as long-running agents accumulate tool call observations—and the core themes used to combat it: offloading, reducing, retrieving, and isolating context. Pete shares fresh lessons from building Manis, detailing the difference between reversible compaction and irreversible summarization, and how their layered action space manages tool confusion.