What is
Multi-Agent System?
A system where multiple AI agents collaborate or compete on a task.
Definition
Multi-agent systems decompose complex problems across specialized agents — a planner, a researcher, a writer, a critic, etc. The pattern can dramatically improve quality on long-horizon tasks but adds latency, cost, and debugging complexity. Frameworks like LangGraph, AutoGen, and CrewAI standardize the orchestration.
Example
A research multi-agent system: a planner decomposes the question, three researchers gather sources in parallel, a writer synthesizes, a critic flags weaknesses.
How Vedwix uses Multi-Agent System in client work
We use multi-agent only when single-agent loops underperform. The added complexity rarely pays off.
We ship this.
If you're building with Multi-Agent System in production, we can help — from architecture review to full implementation.
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