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Hello, AI enthusiasts! 你好,AI爱好者们! مرحبًا بمحبّي الذكاء الاصطناعي!


At CAMEL-AI, we have a simple yet profound belief:

If AGI exists, it must be a multi-agent system. Our Mission is clear: Finding the Scaling Laws of Agents. Intelligence emerges from diversity, not a single perfect principle. Multi-agent systems naturally follow "divide and conquer" approaches, breaking down complex problems across multiple specialized agents. Since 2023, we've been building the first multi-agent framework CAMEL

✨ We're focused on 3 dimensions of agent scaling laws:

  • Number of Agents
    through our 🐫 CAMEL framework to 🏝️ OASIS for simulating millions of social agents

  • Environments
    with 🦀️ CRAB and 🦉 OWL for computer operations; 🌊 SEA building reinforcement learning environment for continuous improvement.

  • Evolution
    [CAMEL's RAG & GraphRAG] helps agents access and learn from external knowledge base; our 🐉 Loong Project generates verifiable syntheticdata through agents

We're creating the infrastructure from frameworks to applications. Although we're far from our ultimate goal, the journey excites us. We believe in multi-agent systems as the future of AI.


在CAMEL-AI,我们秉持一个简单而深刻的信念:

若通用人工智能(AGI)存在,它必定是多智能体系统。我们的使命清晰明确:探索智能体的扩展法则。智能源于多样性,而非单一完美原则。多智能体系统天然遵循"分而治之"策略,通过多个专业化智能体分解复杂问题。自2023年起,我们构建了首个多智能体框架CAMEL

✨ 我们专注于智能体扩展法则的三大维度:

  • 智能体数量
    通过🐫 CAMEL框架 到模拟百万社会智能体的🏝️ OASIS

  • 环境交互
    使用🦀️ CRAB🦉 OWL处理计算机操作;🌊 SEA为持续进化构建强化学习环境

  • 智能进化
    [CAMEL的RAG & GraphRAG]使智能体能访问外部知识库;🐉 龙计划通过智能体生成可验证的合成数据

我们正在构建从框架到应用的基础设施。虽离终极目标尚远,但探索过程令人振奋。我们坚信多智能体系统是AI的未来。


في CAMEL-AI، نؤمن بفكرة بسيطة لكنها عميقة:

إذا كان الذكاء العام الاصطناعي (AGI) موجودًا، فلا بد أن يكون نظامًا متعدد الوكلاء. مهمتنا واضحة: اكتشاف قوانين توسيع نطاق الوكلاء. الذكاء ينبع من التنوع، وليس من مبدأ واحد مثالي. تتبع الأنظمة متعددة الوكلاء نهج "فرّق تسُد" بشكل طبيعي، حيث تقسم المشكلات المعقدة عبر وكلاء متخصصين. منذ عام 2023، نعمل على بناء أول إطار عمل متعدد الوكلاء CAMEL.

✨ نركز على ثلاثة أبعاد لقوانين توسيع نطاق الوكلاء:

عدد الوكلاء
من خلال 🐫 إطار CAMEL إلى 🏝️ واحة OASIS لمحاكاة ملايين الوكلاء الاجتماعية.

البيئات
باستخدام 🦀️ CRAB و🦉 OWL للعمليات الحاسوبية؛ 🌊 SEA تبني بيئة تعلم معزز للتحسين المستمر.

التطور
[RAG & GraphRAG في CAMEL] تُمكّن الوكلاء من الوصول إلى قواعد المعرفة الخارجية؛ مشروعنا 🐉 لونغ Loong يولد بيانات اصطناعية قابلة للتحقق عبر الوكلاء.

نحن نبني البنية التحتية من الأطر إلى التطبيقات. رغم أننا بعيدون عن هدفنا النهائي، إلا أن الرحلة تُلهِمنا. نؤمن بأن الأنظمة متعددة الوكلاء هي مستقبل الذكاء الاصطناعي.

Contact Us 联系我们 اتصل بنا

Join us at CAMEL-AI.org to help shape that future. For more information please contact [email protected]

  • Discord: Get real-time support, chat with the community, and stay updated. Join us

  • WeChat Community: Scan the QR code below to join our WeChat community.

  • X (Twitter): Follow for updates, AI insights, and key announcements. Follow us

  • GitHub Issues: Report bugs, request features, and track development. Submit an issue

  • Ambassador Project: Advocate for CAMEL-AI, host events, and contribute content. Learn more

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  1. camel camel Public

    🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

    Python 12.3k 1.3k

  2. owl owl Public

    🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

    Python 16.2k 1.9k

  3. oasis oasis Public

    🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents. https://oasis.camel-ai.org

    Python 1.4k 144

  4. crab crab Public

    🦀️ CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents. https://crab.camel-ai.org/

    Python 338 49

  5. loong loong Public

    🐉 Loong: Synthesize Long CoTs at Scale through Verifiers.

    Jupyter Notebook 262 22

  6. agent-trust agent-trust Public

    🤝 The code for "Can Large Language Model Agents Simulate Human Trust Behaviors?"

    Python 81 11

Repositories

Showing 10 of 18 repositories
  • owl Public

    🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

    camel-ai/owl’s past year of commit activity
    Python 16,216 1,913 42 17 Updated May 7, 2025
  • camel Public

    🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

    camel-ai/camel’s past year of commit activity
    Python 12,328 Apache-2.0 1,300 341 (18 issues need help) 137 Updated May 7, 2025
  • .github Public
    camel-ai/.github’s past year of commit activity
    1 0 0 0 Updated May 8, 2025
  • loong Public

    🐉 Loong: Synthesize Long CoTs at Scale through Verifiers.

    camel-ai/loong’s past year of commit activity
    Jupyter Notebook 262 Apache-2.0 22 1 3 Updated May 7, 2025
  • oasis Public

    🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents. https://oasis.camel-ai.org

    camel-ai/oasis’s past year of commit activity
    Python 1,412 Apache-2.0 144 30 (8 issues need help) 1 Updated May 7, 2025
  • camel_asset Public
    camel-ai/camel_asset’s past year of commit activity
    0 Apache-2.0 0 0 0 Updated May 5, 2025
  • crab Public

    🦀️ CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents. https://crab.camel-ai.org/

    camel-ai/crab’s past year of commit activity
    Python 338 49 31 3 Updated May 5, 2025
  • camel_usecase Public
    camel-ai/camel_usecase’s past year of commit activity
    Python 1 Apache-2.0 0 0 0 Updated Apr 9, 2025
  • agent-trust Public

    🤝 The code for "Can Large Language Model Agents Simulate Human Trust Behaviors?"

    camel-ai/agent-trust’s past year of commit activity
    Python 81 11 1 0 Updated Apr 6, 2025
  • camel_web_app Public
    camel-ai/camel_web_app’s past year of commit activity
    TypeScript 11 Apache-2.0 6 2 0 Updated Apr 4, 2025