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Multi-Agent Systems

Rather than one model doing everything, give several a role each and let them talk: a writer and a critic, a planner and an executor. The appeal is that specialisation and disagreement catch what one pass does not. The cost is that every message is tokens, and agents can agree with each other confidently and wrongly.

Viz primitive · budget-splitcoordination-tokens = 1200

coordination-tokens holds 60% of the budget; rest holds the remaining 40%.

Tokens spent on agents talking to each other against tokens spent on the task, in one run. Drag the coordination volume to watch the conversation become the work.

1200

Reviewed by opendroid · 2026-08-04

  • arXiv:2308.08155 — AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation