This research introduces Natural-Language Agent Harnesses (NLAHs) and Intelligent Harness Runtime (IHR), enabling agent control logic to be expressed in editable natural language and executed under shared runtime …
Anthropic shares the engineering challenges and lessons learned from building Claude’s Research feature, a multi-agent system that uses multiple AI agents working in parallel to explore complex topics more …
This research proposes using distributed systems theory as a principled framework for designing and evaluating LLM teams, demonstrating that coordination challenges like consistency conflicts, communication overhead, and …
