CAMEL-AI.org
@CamelAIOrg
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https://t.co/FmX1B3nzjA is working on finding the scaling laws of agents. The first and the best multi-agent framework. Discord: https://t.co/DRweXf0nOl. Product @Eigent_AI
Joined June 2023
We are so grateful to our CAMEL-AI community contributors for laying the foundation over the past two years. Today, https://t.co/kVrpwyFHQX is finally coming out of stealth and meeting the world!
eigent.ai
Build, manage, and deploy a custom AI workforce. Turn complex workflows into automated tasks.
Introducing Eigent — the first multi-agent workforce on your desktop. Eigent is a team of AI agents collaborating to complete complex tasks in parallel. It is your long-term working partner with fullly customizable workers and MCPs. Public beta available to download for MacOS,
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🐫 CAMEL-AI Developer Sync Meeting Preview – New Sprint! 🕙 10:00 PDT / 18:00 BST / 22:30 IST Register here: https://t.co/xjGJfdxU0h Join us today to: - Connect with our core engineers & contributors - Ask questions about contributing to the CAMEL framework - Explore
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We are proud to share that CAMEL-AI🐫 has joined @github's Secure Open Source Fund alongside 70+ high impact projects like Ollama, scikit-learn, OpenCV Next.js and Node.js. Open source is the backbone of AI innovation, but it also carries significant security risks. In our
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Big step for @Eigent_AI, now fully local. Excited to see how builders use it. 👇
🚨 MAJOR UPDATE: Eigent now runs 100% locally (with a new license change) Based on community feedback, we have released full local mode with a FastAPI and PostgreSQL backend that runs in Docker so everything stays on your machine. We have also updated our license, making Eigent
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🚨 MAJOR UPDATE: Eigent now runs 100% locally (with a new license change) Based on community feedback, we have released full local mode with a FastAPI and PostgreSQL backend that runs in Docker so everything stays on your machine. We have also updated our license, making Eigent
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🐫 CAMEL-AI Weekly Project Meeting Join us today for our weekly developer sync! 🕑 10:00 PDT / 18:00 BST / 22:30 IST 👉 Register here: https://t.co/xjGJfdyrPP Join us today to: ➠ Connect with our core engineers & contributors ➠ Ask questions about contributing to the
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From foundational research on scaling environments to practical applications like synthetic data generation and real-world automation, CAMEL-AI is at the forefront of building the future of multi-agent systems. Join us on this exciting journey! Join CAMEL discord:
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And don't forget Project OASIS 🏝️! This open-source simulated social environment allows for scalable social simulations with millions of LLM agents, realistically mimicking user behavior on platforms like Twitter and Reddit. It's about automation AND simulation! Read about it:
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To bridge the 'last mile' challenge in agent automation, we launched OWL and CRAB, integrated with the Model Context Protocol (MCP). These projects are designed specifically for interactive environments, enabling agents to perceive, act, and learn from experience. Discover
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Let's look back on Project Loong 🐉! This project focuses on scaling up synthetic data generation with verifiers for a broad range of domains, enabling reliable domain-specific reasoning with verifiable synthetic data and multi-agent environments. Dive deeper:
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We believe environments are the missing 'data' for AI agents, providing dynamic, interactive contexts for learning adaptive behaviors and long-term decision-making. Learn more:
camel-ai.org
CAMEL-AI.org advances AI agents by scaling environments and shifting from prompt engineering to RL for smarter, adaptive agents.
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Everyone's talking about RL environments, at CAMEL-AI 🐫, we've been grinding this space quietly! We launched our Scaling Environments for Agents initiative in March, a community effort trying to build the open source infrastructure to move open source agent research from prompt
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To bridge the 'last mile' challenge in agent automation, we launched OWL and CRAB, integrated with the Model Context Protocol (MCP). These projects are designed specifically for interactive environments, enabling agents to perceive, act, and learn from experience. Discover
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Let's look back on Project Loong 🐉! This project focuses on scaling up synthetic data generation with verifiers for a broad range of domains, enabling reliable domain-specific reasoning with verifiable synthetic data and multi-agent environments. Dive deeper:
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🐫 CAMEL-AI Weekly Project Meeting Join us today for our weekly developer sync! 🕑 10:00 PDT / 18:00 BST / 22:30 IST 👉 Register here: https://t.co/xjGJfdxU0h Join us today to: ➠ Connect with our core engineers & contributors ➠ Ask questions about contributing to the CAMEL
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Special thanks to @thenomadevel for implementing this comprehensive integration. Reference:
github.com
This PR adds support for Nebius AI Studio as a new model provider. What's Added NebiusModel class with OpenAI-compatible API support 7 available models including GPT-OSS, GLM-4.5, DeepSeek...
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CAMEL-AI now supports Nebius AI Studio! ☁️ Key features: ✔️ Optimized GPU infrastructure for ultra-low latency ✔️ Advanced features, structured outputs, tool calling, function execution ✔️ Enterprise-ready deployment with scalable, reliable hosting ✔️ Multi-model access -
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