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---
title: OASIS Demo - Social Media Simulation
emoji: 🏝️
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: apache-2.0
---
# 🏝️ OASIS Demo: Open Agent Social Interaction Simulations
This is a simplified demonstration of [OASIS](https://github.com/camel-ai/oasis) - a scalable, open-source social media simulator that incorporates large language model agents to realistically mimic the behavior of up to one million users on platforms like Twitter and Reddit.
## What is OASIS?
OASIS is designed to facilitate the study of complex social phenomena such as:
- Information spread and viral content
- Group polarization and echo chambers
- Herd behavior and social influence
- Content recommendation systems
- Social network dynamics
## Demo Features
This simplified demo showcases:
- **Multi-agent interactions**: Create 2-5 AI agents with different personalities
- **Content generation**: Agents create posts on various topics
- **Social engagement**: Agents like, repost, and interact with content
- **Real-time simulation**: Watch social dynamics unfold step by step
## Key Capabilities of Full OASIS
### 📈 Scalability
- Supports simulations of up to **1 million agents**
- Enables studies at scale comparable to real-world platforms
### 📲 Dynamic Environments
- Adapts to real-time changes in social networks
- Mirrors fluid dynamics of Twitter and Reddit
### 👍🏼 Diverse Action Spaces
- Agents can perform **23 different actions**
- Including following, commenting, reposting, searching, etc.
### 🔥 Integrated Recommendation Systems
- Interest-based recommendation algorithms
- Hot-score-based content discovery
## Getting Started with Full OASIS
```bash
pip install camel-oasis
```
```python
import asyncio
from camel.models import ModelFactory
from camel.types import ModelPlatformType, ModelType
import oasis
from oasis import ActionType, LLMAction, generate_reddit_agent_graph
# Set up your OpenAI API key
# export OPENAI_API_KEY=your_key_here
async def main():
# Create model
model = ModelFactory.create(
model_platform=ModelPlatformType.OPENAI,
model_type=ModelType.GPT_4O_MINI,
)
# Define available actions
available_actions = [
ActionType.LIKE_POST,
ActionType.CREATE_POST,
ActionType.CREATE_COMMENT,
ActionType.FOLLOW,
ActionType.DO_NOTHING,
]
# Generate agent graph
agent_graph = await generate_reddit_agent_graph(
profile_path="./data/reddit/user_data_36.json",
model=model,
available_actions=available_actions,
)
# Create environment
env = oasis.make(
agent_graph=agent_graph,
platform=oasis.DefaultPlatformType.REDDIT,
database_path="./simulation.db",
)
# Run simulation
await env.reset()
actions = {agent: LLMAction() for _, agent in env.agent_graph.get_agents()}
await env.step(actions)
await env.close()
if __name__ == "__main__":
asyncio.run(main())
```
## Research Applications
OASIS enables research in:
- **Information Dynamics**: How news and misinformation spread
- **Social Psychology**: Group behavior and influence patterns
- **Platform Design**: Testing recommendation algorithms and policies
- **Crisis Response**: Understanding information flow during emergencies
- **Political Science**: Studying polarization and opinion formation
## Links
- **Repository**: [github.com/camel-ai/oasis](https://github.com/camel-ai/oasis)
- **Documentation**: [docs.oasis.camel-ai.org](https://docs.oasis.camel-ai.org)
- **Paper**: [Research publication](https://arxiv.org/abs/2411.11581)
- **CAMEL-AI**: [camel-ai.org](https://www.camel-ai.org/)
## License
Apache License 2.0
---
**Note**: This demo shows a simplified version of OASIS capabilities. The full framework supports much more complex simulations with real LLM-powered agents, sophisticated social networks, and detailed behavioral modeling.
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