This Framework Makes Multiple Agents Talk to Each Other to Solve One Task

This framework enables multiple specialized agents to collaborate on solving complex tasks through structured communication. Each agent has a distinct role—such as Researcher, Critic, and others—that work together in a coordinated workflow. The agents communicate with each other to validate findings, refine solutions, and ensure quality output through iterative feedback loops.

Key Points

• •Multi-agent architecture divides complex tasks into specialized roles (Researcher, Critic, etc.)
• •Agents communicate asynchronously to share findings and feedback
• •Critic agent validates and checks work from other agents to ensure quality
• •Researcher agent gathers and analyzes data as the primary information source
• •Iterative feedback loops allow agents to refine solutions collaboratively
• •Task decomposition enables parallel processing and faster problem-solving
• •Each agent operates independently but coordinates through a central communication system
• •Quality control is built-in through peer review between agents

Workflow Diagram

Concepts