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Fugu: Sakana AI's Multi-Agent Orchestration
Sakana AI releases an open-source system that coordinates multiple frontier language models as a single team — backed by two ICLR 2026 papers on agent-to-agent orchestration.
Fugu dynamically routes a task across multiple large language models — each best suited to a particular subtask — and synthesizes their outputs into a single answer. The coordination logic is handled by two trained models: TRINITY, which evolved as an LLM coordinator, and Conductor, trained with reinforcement learning to orchestrate agent-to-agent communication. The whole system is accessible through the Sakana API.
Why a vibe-coder should care
Instead of betting everything on one AI model and hoping it handles every part of a complex task, Fugu gives you a team of specialized models working together. Harder subtasks get routed to the right model automatically — you just ask the question.
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