OASIS

OASIS is a social media simulator for researchers studying how information spreads, groups polarize, and users follow the crowd. It uses LLM agents as simulated participants in Twitter and Reddit environments.

• Social interactions: Agents can publish posts, comment, follow users, repost content, report posts, and participate in group chats as the simulated network and its content change.
• Content recommendations: Interest-based and popularity-based recommendation systems let you study how feed selection affects what agents encounter and how they respond.
• Custom agents: You can assign profiles and choose each agent's model, tools, and prompts to represent different participants in an experiment.
• Controlled experiments: Combine manually specified actions with decisions made by LLM agents, then interview agents with specific questions about their responses.
• Large simulations: Run experiments with large populations of agents to study social behavior across a network rather than within a single conversation.

OASIS is an installable Python framework with an Apache 2.0 license. The simulation runs on your machine and can store its data in a local database. It supports OpenAI models such as GPT-4o mini; using that backend requires an API key and internet access, and sends model requests to OpenAI. API token consumption grows with the number of active agents and simulation steps.