camel-ai/oasis

Health v2 · maintenance only

Adoption not part of the score

5061 stars · 623 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

OASIS is an open-source social media simulator that uses large language model and rule-based agents to mimic the behavior of up to one million users on platforms like Twitter and Reddit. It supports 23 agent actions, dynamic environments, and integrated recommendation systems for studying social phenomena at scale.

Use cases

• simulate a million agents on a social network
• study information spread and group polarization
• model herd behavior on twitter or reddit
• test human-agent interactions in a dynamic social environment
• predict how content spreads through social networks
• generate realistic synthetic social media interactions
• run LLM agent-based social science experiments

When to choose

• you need large-scale social media simulation with LLM agents
• you want to study emergent social phenomena like polarization or echo chambers
• you need built-in recommendation systems and diverse agent action spaces
• you want a pip-installable Python framework with OpenAI or other LLM backends

When to avoid

• you need a general-purpose multi-agent framework not focused on social media
• you lack access to LLM APIs and want fully free simulation
• you need real-time production social platform features rather than research simulation
• your project requires small-scale, low-latency agent interactions

Facets

library · maturity active

agent-framework simulation llm-inference machine-learning artificial-intelligence large-language-models social-media simulation python windows social-media-simulation multi-agent-systems llm-agents agent-based-modeling million-agents twitter reddit recommendation-systems ai-agents natural-language-processing linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="camel-ai/oasis")