MotleyCrewinMotleyCrew.aiDo you need a multiagent setup or just an LLM-calling tool?Is your LLM-related task too complex to fit nicely into a single prompt (almost all real-world tasks are)?Aug 29Aug 29
MotleyCrewinMotleyCrew.aiIs tool-calling all you need?This is the final piece in our series on multi-agent orchestration, discussing the minimal set of key patterns and components we think are…Aug 21Aug 21
MotleyCrewinMotleyCrew.aiIs tool-calling all you need?The previous part of this series went over some agent orchestration methods that appear different to agents-as-tools, but are in fact…Aug 16Aug 16
MotleyCrewinMotleyCrew.aiIs tool-calling all you need?The first part of this series explained what multi-agent AI systems are and why they are useful, and introduced the powerful…Aug 9Aug 9
MotleyCrewinMotleyCrew.aiIs tool-calling all you need? Interaction patterns in multi-agent systems. Part I: Introduction.Aug 2Aug 2
MotleyCrewinMotleyCrew.aiReliable AI at your fingertips: how we built universal ReAct agents that just workJul 22Jul 22
MotleyCrewinMotleyCrew.aiEasier development of LLM applications with motleycacheAs any experienced developer knows, for any reasonably mature system the time spent writing new code is tiny compared to the time spent…Jul 10Jul 10
MotleyCrewinMotleyCrew.aiGuaranteeing AI agent output quality with output handlersIf you’ve ever tried to put Large Language Model (LLM)-based functionality, for example using AI agents, into production, you will have…Jul 1Jul 1