Tutorial for multi-agent systems development using MetaGPT
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This tutorial provides a practical guide to understanding and developing multi-agent systems, leveraging the MetaGPT framework. It targets developers aiming for career growth in large language model (LLM) and agent development, particularly those with Python and asynchronous programming experience who want to move beyond prompt engineering to hands-on agent framework implementation.
How It Works
The tutorial guides users through building custom agents and multi-agent systems by dissecting the core components of MetaGPT, such as RoleContext
and Action
modules. It emphasizes practical coding exercises, from creating simple single-purpose agents to more complex multi-agent scenarios like software company simulations and debates, illustrating concepts like Environment
and Team
for orchestrating agent interactions.
Quick Start & Requirements
Highlighted Details
Maintenance & Community
Licensing & Compatibility
Limitations & Caveats
The primary license is CC BY-NC-SA 4.0, which restricts commercial use and requires derivative works to be shared under the same license. Some tutorial content may be based on older versions of MetaGPT (0.4).
1 year ago
Inactive