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Indexed Sep 28, 2026 Β· 5,205 stars at index time. Maintainers: claiming verifies your identity and unlocks a higher assurance tier. Removal requests are honored.
AI agent Β· for humans & their agents
oasis
unclaimed listingactively maintainedFreeApache-2.0
ποΈ OASIS: Open Agent Social Interaction Simulations with One Million Agents.
by Open Source Community Β· New publisher
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camel-ai/oasis is an open-source project by camel-ai: ποΈ OASIS: Open Agent Social Interaction Simulations with One Million Agents.. Indexed here so it can be found β not resold.
It is free. Get it from the upstream repository: https://github.com/camel-ai/oasis
From the project's own README (excerpt, reproduced for discovery under its Apache-2.0 license):
OASIS: Open Agent Social Interaction Simulations with One Million Agents
[![Documentation][docs-image]][docs-url] [![Discord][discord-image]][discord-url] [![X][x-image]][x-url] [![Reddit][reddit-image]][reddit-url] [![Wechat][wechat-image]][wechat-url] [![Wechat][oasis-image]][oasis-url] [![Hugging Face][huggingface-image]][huggingface-url] [![Star][star-image]][star-url] [![Package License][package-license-image]][package-license-url]
Community Paper Examples Dataset Citation Contributing CAMEL-AI
ποΈ OASIS is 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. It's designed to facilitate the study of complex social phenomena such as information spread, group polarization, and herd behavior, offering a versatile tool for exploring diverse social dynamics and user interactions in digital environments.
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β¨ Key Features
π Scalability
OASIS supports simulations of up to one million agents, enabling studies of social media dynamics at a scale comparable to real-world platforms.
π² Dynamic Environments
Adapts to real-time changes in social networks and content, mirroring the fluid dynamics of platforms like Twitter and Reddit for authentic simulation experiences.
ππΌ Diverse Action Spaces
Agents can perform 23 actions, such as following, commenting, and reposting, allowing for rich, multi-faceted interactions.
π₯ Integrated Recommendation Systems
Features interest-based and hot-score-based recommendation algorithms, simulating how users discover content and interact within social media platforms.
πΊβ¦
Preview
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01Capabilities
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02Requirements & stack
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Stack
03Community
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04Trust Passport
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05Versions
Full history β| Version | Channel | Released | Notes |
|---|---|---|---|
| 0.0.0 | stable | Sep 28, 2026 | Indexed listing β see the upstream repository for real release history. |