GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent Systems

1. 1Identify the requirements of the multi-agent system and the tasks that need to be solved
2. 2Determine the optimal group structure and communication topology for the system using GoAgent
3. 3Implement the generated communication topology and integrate it with the LLM-based multi-agent system
4. 4Evaluate and refine the system's performance using the new communication topology

AI engineers and researchers working on multi-agent systems can benefit from GoAgent to optimize agent interactions and improve overall system performance. This can be particularly useful in applications where task-specific group structures are necessary to divide and conquer subtasks

💡 GoAgent can improve the problem-solving capabilities of LLM-based multi-agent systems by generating task-specific group structures and communication topologies

🤖 GoAgent generates optimal communication topologies for LLM-based multi-agent systems! 💡