Multi-Agent Frameworks Survey: 10 Leading AI Agent Frameworks
Multi-Agent Framework Guide: Compare 10 leading tools for learning, development, and production use. Find your ideal starting point.
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During the process of learning Multi-Agent related technologies, we discovered a common confusion: there are numerous frameworks on the market, but people don’t know where to start.
Based on this need, we conducted a systematic review and analysis of current mainstream multi-agent frameworks, categorizing them across three dimensions: learning, development, and production. We also summarized the characteristics, applicable scenarios, advantages and disadvantages of each framework to help everyone quickly find the most suitable starting point for learning and use.
It should be noted that: frameworks iterate extremely fast. The content in this article is based on the versions we studied and researched at the time, and there may already be iterative updates currently. We welcome everyone to leave comments for discussion, supplementation, and exchange.
Note: Higher levels cover lower levels. For example, development frameworks can also be used for learning, but cannot be used in production environments.