Not just individual agents — a coordinated team. Each agent has a defined role, clear responsibilities, and structured handoffs. They collaborate on long-horizon tasks the same way a human team does, without losing context or looping.
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Each agent has a defined role, skill file, and responsibility boundary. No agent oversteps its scope.
Outputs from one agent become typed inputs to the next. Context is preserved across the full chain.
Peer agents work simultaneously on independent subtasks and merge results at a defined sync point.
Turn limits, tool call budgets, and escalation rules are first-class framework primitives — not afterthoughts.
Runs on local quantized models (vLLM, llama.cpp) or cloud APIs. Mix model sizes per role based on task complexity.
Full trace of which agent did what, how long it took, and what was passed between team members.