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@lolatop6 lolatop6 commented Jan 5, 2025

Description

Adding AgentVerse, a comprehensive multi-agent simulation framework that enables testing and development of AI-to-AI communication systems.

Research Sources

Technical Analysis

AgentVerse provides a robust framework for:

  • Multi-agent simulation environments
  • Customizable agent roles and behaviors
  • Protocol testing and validation
  • Scenario templating

Implementation Example

from agentverse import AgentVerse

# Define environment config
config = {
    "name": "custom_env",
    "agents": [
        {"name": "agent_1", "role": "assistant"},
        {"name": "agent_2", "role": "validator"}
    ],
    "max_rounds": 10
}

# Initialize and run simulation
verse = AgentVerse.from_config(config)
results = verse.run()


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### 🤔 What is the nature of this change? 

- [ ] New feature 
- [ ] Fix bug / bug 
- [ ] Style optimization 
- [ ] Code style optimization 
- [ ] Performance optimization 
- [ ] Build optimization 
- [ ] Website, documentation, demo improvements 
- [ ] Refactor code or style 
- [ ] Test related 
- [ ] Solved proposed issues 
- [ ] Other 

### 🔗 Related Issue 

(Describe the source of related requirements, such as the related issue discussion link. Example: close #123, close #456.)

### 💡 Background or solution 

(The specific problem solved.)

### 📝 Changelog 

(Describe changes from the user side, and list all potential break changes or other risks.)

## Description
Adding AgentVerse, a comprehensive multi-agent simulation framework that enables testing and development of AI-to-AI communication systems.

## Research Sources
- GitHub Repository: https://github.com/OpenBMB/AgentVerse
- Related Paper: [Paper reference if available]
- Community Adoption: Active development with [X] stars and [Y] forks

## Technical Analysis
AgentVerse provides a robust framework for:
- Multi-agent simulation environments
- Customizable agent roles and behaviors
- Protocol testing and validation
- Scenario templating

## Implementation Example
```python
from agentverse import AgentVerse

# Define environment config
config = {
    "name": "custom_env",
    "agents": [
        {"name": "agent_1", "role": "assistant"},
        {"name": "agent_2", "role": "validator"}
    ],
    "max_rounds": 10
}

# Initialize and run simulation
verse = AgentVerse.from_config(config)
results = verse.run()
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