agentUniverse

One-Minute Overview#

agentUniverse is a multi-agent framework based on large language models designed for developers and enterprises to easily build intelligent applications with domain expertise. The framework offers rich multi-agent collaboration pattern components validated in real business scenarios at Ant Group, making it particularly suitable for high-value scenarios requiring complex data processing, precise computation, and expert opinion integration.

Core Value: Significantly enhances the quality of analysis and execution for complex tasks through pre-validated collaboration patterns and domain knowledge integration

Quick Start#

Installation Difficulty: Low - Simple pip installation gets you started quickly

pip install agentUniverse

Is this suitable for me?

• ✅ Complex problem analysis: Professional domain tasks requiring multi-step decomposition and analysis
• ✅ Data-intensive work: Data processing tasks requiring high computational precision
• ✅ Professional knowledge integration: Workflows requiring integration of specific domain expertise
• ❌ Simple Q&A tasks: Problems that can be resolved with single interactions
• ❌ Basic chatbots: Simple scenarios that don't require multi-agent collaboration

Core Capabilities#

1. PEER Collaboration Pattern - Enhancing Complex Task Analysis Quality#

• Utilizes four agents with distinct responsibilities—Plan, Execute, Express, and Review—to break down complex problems into manageable steps, execute sequentially, and iteratively improve based on feedback Actual Value: Significantly improves the quality of reasoning and analysis tasks, particularly effective for scenarios requiring in-depth analysis such as event interpretation and industry analysis

2. DOE Collaboration Pattern - Optimizing Data-Intensive Tasks#

• Employs three agents—Data-finding, Opinion-inject, and Express—to improve the effectiveness of data-intensive tasks that require high computational precision and incorporate expert opinions Actual Value: Generates more precise and professional reports and analysis results, suitable for high-accuracy requirements like financial report generation

3. Domain Knowledge Integration - Enabling Professional-Grade Applications#

• Provides capabilities for domain prompts, knowledge construction, and management, enabling orchestration and injection of domain-level SOPs Actual Value: Empowers agents with expert-level domain knowledge without requiring retraining, allowing rapid adaptation to different professional domains

4. Visual Workflow Platform - Lowering Development Barriers#

• Offers a visual canvas platform supporting drag-and-drop creation of agent workflows Actual Value: Enables building complex multi-agent applications without complex coding, significantly improving development efficiency

5. Extensive LLM Model Support - Adapting to Different Requirements#

• Supports multiple mainstream large language models including Qwen, Deepseek, OpenAI, Claude, and Gemini Actual Value: Flexibly choose the most suitable underlying model based on cost, performance, and regional requirements