From df2d536f6cce767be2177c0c415dada5599ab74e Mon Sep 17 00:00:00 2001
From: lolatop6 <lolatop813@gmail.com>
Date: Sun, 5 Jan 2025 15:30:17 +0100
Subject: [PATCH] Create add-agentverse-framework

## 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()
---
 feature/add-agentverse-framework | 33 ++++++++++++++++++++++++++++++++
 1 file changed, 33 insertions(+)
 create mode 100644 feature/add-agentverse-framework

diff --git a/feature/add-agentverse-framework b/feature/add-agentverse-framework
new file mode 100644
index 00000000..bb8265c4
--- /dev/null
+++ b/feature/add-agentverse-framework
@@ -0,0 +1,33 @@
+## 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()
+