Swarms, Eliza, ZerePy and Rig are four frameworks.
1. Swarms:
- Not only an agent framework, but also compatible with the other three frameworks.
- With modular thinking, maximize the performance of agents in different workflows and architectures.
- Suitable for enterprise-level applications, supporting multi-agent collaboration and complex task management. The framework is flexible, supports large-scale parallel processing, and provides a variety of architecture configurations, but due to its complexity, it may require a strong technical background to effectively apply it.
2. Eliza:
- The easiest to use, suitable for beginners and rapid prototyping.
- Especially suitable for AI interaction on social media platforms. The framework is simple, easy to integrate and modify quickly, and suitable for scenarios that do not require excessive performance optimization.
3. ZerePy:
- One-click deployment, suitable for rapid development of AI Agent applications for Web3 and social platforms.
- Suitable for lightweight AI applications, simple framework, flexible configuration, suitable for rapid construction and iteration.
4. Rig:
- Focuses on performance optimization, especially in high-concurrency and high-performance tasks.
- Suitable for developers who need detailed control and optimization. The framework is more complex and requires some Rust knowledge, suitable for more experienced developers.
Through these comparisons, developers can choose the right framework according to their needs and technical background.