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Hello, AI enthusiasts! Ni Hao ,AIAi Hao Zhe Men ! mrHban bmHbWy ldhk lSTn`y!


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

We believe that scaling up multi-agent systems is a pathway toward AGI. 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.


Zai CAMEL-AI,Wo Men Bing Chi Yi Ge Jian Dan Er Shen Ke De Xin Nian :

Wo Men Xiang Xin ,Kuo Da Duo Zhi Neng Ti Xi Tong De Gui Mo Shi Tong Wang Tong Yong Ren Gong Zhi Neng De Yi Tiao Lu Jing . Wo Men De Shi Ming Qing Xi Ming Que :Tan Suo Zhi Neng Ti De Kuo Zhan Fa Ze . Zhi Neng Yuan Yu Duo Yang Xing ,Er Fei Dan Yi Wan Mei Yuan Ze . Duo Zhi Neng Ti Xi Tong Tian Ran Zun Xun "Fen Er Zhi Zhi "Ce Lue ,Tong Guo Duo Ge Zhuan Ye Hua Zhi Neng Ti Fen Jie Fu Za Wen Ti . Zi 2023Nian Qi ,Wo Men Gou Jian Liao Shou Ge Duo Zhi Neng Ti Kuang Jia CAMEL

Wo Men Zhuan Zhu Yu Zhi Neng Ti Kuo Zhan Fa Ze De San Da Wei Du :

  • Zhi Neng Ti Shu Liang
    Tong Guo CAMELKuang Jia Dao Mo Ni Bai Mo She Hui Zhi Neng Ti De OASIS

  • Huan Jing Jiao Hu
    Shi Yong CRABHe OWLChu Li Ji Suan Ji Cao Zuo ; SEAWei Chi Xu Jin Hua Gou Jian Qiang Hua Xue Xi Huan Jing

  • Zhi Neng Jin Hua
    [CAMELDe RAG & GraphRAG]Shi Zhi Neng Ti Neng Fang Wen Wai Bu Zhi Shi Ku ; Long Ji Hua Tong Guo Zhi Neng Ti Sheng Cheng Ke Yan Zheng De He Cheng Shu Ju

Wo Men Zheng Zai Gou Jian Cong Kuang Jia Dao Ying Yong De Ji Chu She Shi . Sui Chi Zhong Ji Mu Biao Shang Yuan ,Dan Tan Suo Guo Cheng Ling Ren Zhen Fen . Wo Men Jian Xin Duo Zhi Neng Ti Xi Tong Shi AIDe Wei Lai .


fy CAMEL-AI, nw'mn bfkr@ bsyT@ lknh `myq@:

nHn nw'mn b'n twsy` nTq l'nZm@ mt`dd@ lwkl hw Tryq nHw ldhk l`m lSTn`y. mhmtn wDH@: ktshf qwnyn twsy` nTq lwkl. ldhk ynb` mn ltnw`, wlys mn mbd' wHd mthly. ttb` l'nZm@ mt`dd@ lwkl nhj "frWq tsud" bshkl Tby`y, Hyth tqsm lmshklt lm`qd@ `br wkl mtkhSSyn. mndh `m 2023, n`ml `l~ bn 'wl Tr `ml mt`dd lwkl CAMEL.

nrkz `l~ thlth@ 'b`d lqwnyn twsy` nTq lwkl:

`dd lwkl
mn khll Tr CAMEL l~ wH@ OASIS lmHk@ mlyyn lwkl ljtm`y@.

lbyy't
bstkhdm CRAB w OWL ll`mlyt lHswby@; SEA tbny byy'@ t`lm m`zz lltHsyn lmstmr.

ltTwr
[RAG & GraphRAG fy CAMEL] tumkWn lwkl mn lwSwl l~ qw`d lm`rf@ lkhrjy@; mshrw`n lwnG Loong ywld bynt STn`y@ qbl@ lltHqq `br lwkl.

nHn nbny lbny@ ltHty@ mn l'Tr l~ ltTbyqt. rGm 'nn b`ydwn `n hdfn lnhy'y, l 'n lrHl@ tulhimn. nw'mn b'n l'nZm@ mt`dd@ lwkl hy mstqbl ldhk lSTn`y.

Contact Us Lian Xi Wo Men tSl bn

Join us at CAMEL-AI.org to help shape that future. For more information please contact camel-ai@eigent.ai

  • 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

Pinned Loading

  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 16.2k 1.8k

  2. seta seta Public

    SETA: Scaling Environments for Terminal Agents

    Python 67 7

  3. owl owl Public

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

    Python 19.1k 2.2k

  4. oasis oasis Public

    OASIS: Open Agent Social Interaction Simulations with One Million Agents.

    Python 2.5k 292

  5. crab crab Public

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

    Python 403 56

  6. loong loong Public

    Loong: Synthesize Long CoTs at Scale through Verifiers.

    Python 487 41

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