agentUniverse
agentUniverse is a multi-agent framework based on large language models, helping developers easily build multi-agent applications.
- Region
- Domestic
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 2.3k
- Source
- GitHub
- Added
- 2026-06-07
- Last verified
- 2026-06-07
Overview
agentUniverse is a multi-agent framework based on large language models, designed to help developers easily build multi-agent applications. It provides a set of extensible components to address problem decomposition, execution, and optimization, making it suitable for scenarios requiring collaboration among multiple agents. Users can integrate different large language models into the framework through simple configuration.
Key features
- ▪Flexible and easily extensible
- ▪Supports multiple large language models
- ▪Includes rich multi-agent collaboration patterns
- ▪Emphasizes domain expertise integration
Use cases
Pros
- ＋Easy to integrate and use
- ＋Improves efficiency in data-intensive tasks
- ＋Enhances reasoning and analytical capabilities
Limitations / notes
- －Depends on external large language models
- －May require some programming knowledge
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
Which large language models does agentUniverse support?
Currently supports certain models from Qwen, Deepseek, and OpenAI series.
How do I get started with agentUniverse?
Simply configure the desired large language model, and you can start building multi-agent applications.
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