camel-ai/oasis

What it solves

OASIS is a scalable social media simulator that uses LLM agents to mimic the behavior of up to one million users. It allows researchers to study complex social phenomena—such as information spread, group polarization, and herd behavior—within a controlled, digital environment that mirrors platforms like Twitter and Reddit.

How it works

OASIS creates a virtual social network where agents are assigned profiles and can interact using a wide range of actions. The system integrates interest-based and hot-score-based recommendation algorithms to simulate how content is discovered. It supports both manual actions (defined by the user) and LLM-driven actions, where agents make decisions based on their profiles and the environment.

Who it’s for

This tool is primarily for researchers studying social dynamics, digital sociology, and the impact of AI agents on social platforms, as well as those interested in predicting social media trends or creating synthetic social data.

Highlights

• Massive Scalability: Supports simulations of up to one million agents.
• Rich Interaction Space: Agents can perform 23 different actions, including following, commenting, and reposting.
• Dynamic Environments: Specifically designed to mirror the fluid dynamics of platforms like Reddit and Twitter.
• Integrated Recommendations: Includes built-in algorithms to simulate realistic content discovery.