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Autonumous Agents: Multi-LLM
Generate different roles for LLMs to form a collaborative entity for complex tasks.
An Automatic Agents Generation Framework based on LLMs. This program, driven by LLMs, autonomously generates multi-agents to achieve whatever goal you set.
🚀 Updates
- 2023.08.30: Adding a custom agent collection, AgentBank, allows you to add custom agents.
🚀 Features
- Planner: Determines the expert roles to be added and the specific execution plan according to the problem.
- Tools: The set of tools that can be used, currently only compatible with the search tools.
- Observers: Responsible for reflecting on whether the planner and the results in the execution process are reasonable, currently including reflection checks on Agents, Plan, and Action.
- Agents: Expert role agents generated by the planner, including name, expertise, tools used, and LLM enhancement.
- Plan: The execution plan is composed of the generated expert roles, each step of the execution plan has at least one expert role agent.
- Actions: The specific actions of the expert roles in the execution plan, such as calling tools or outputting results.
Acknowledgements
The system, action bank and role bank of this code base is built using MetaGPT. The basic framework is based on AutoAgents