🧵 Two years ago, CAMEL-AI launched the world's first open-source multi-agent framework. Back then, agent collaboration felt like science fiction. Today, it's an ecosystem. Here’s a quick look at how far they’ve come (and where they're heading.) 👇

CAMEL was born from a single idea: "What if we treated AI models as communicative agents? Not just answering questions, but collaborating on complex tasks." That led to the release of the CAMEL framework in March 2023.

With CAMEL, you can: ✅ Run 1M+ simulated agents ✅ Use stateful memory ✅ Build self-improving data pipelines ✅ Automate research and task workflows ✅ Simulate environments, role-play, or evolve agent societies

Why does CAMEL matter now, more than ever? Because scaling agents means more than adding models. It means: → Giving agents memory → Letting them evolve → Building environments they can learn from And CAMEL supports all three.

This week, they’re celebrating our 2-year anniversary with 5 straight days of launches. Day 1: Scaling Environments for Agents A blog by our founder Guohao Li

Want to get started? CAMEL is open-source. Actively maintained. Built with researchers in mind. 📖 Docs: 🧠 Framework: 📅 Launch Week: 🎥 Launch week video drops daily

If you care about agent-based systems, RAG pipelines, simulation environments, or autonomous workflows… This is your framework. Let’s build the future of multi-agent AI—together. → Follow @CAMELAIOrg → Join us on Discord: → GitHub star if you like the vision: ⭐

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Meta AI researchers are fretting over the threat of Chinese AI, whose quality caught American firms, including OpenAI, by surprise.

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Thanks

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