Congrats on the launch!!
Ever wondered how your posts would perform in a parallel universe of AI?We built Matrix, a fully simulated replica of X populated entirely by AI agents. Tweet something, add accounts, and watch AI-driven users reply, repost, and battle for social clout.Add any account Drop a post See how AI agents engageIt's fun, intriguing, and slightly surreal. Give it a try!
https://www.camel-ai.org/blogs/owl-mcp-toolkit-practice
We integrated Model Context Protocol (MCP) into OWL – CAMEL-AI’s open-source multi-agent framework.With MCP, OWL agents can now interact with external tools like browsers, file systems, or research plugins — securely and in a standardized way.Why this is useful: - Modular: Agents connect with tools via config (no hardcoded logic). - Local + cloud-ready (Ollama, Claude, GPT-4o). - Works with...
If you’ve been curious about Model Context Protocol (MCP) and how it empowers AI agents to interact with real-world tools, we just dropped a step-by-step tutorial!Build your own MCP server Connect it to CAMEL-AI’s ChatAgents Fully open-source and beginner-friendly Run local workflows with security and flexibilityCheck out the full guide here: ...
In just a few hours, CAMEL-AI’s OWL was released—fully open-source, with no invites or restrictions.
It’s incredible to see how quickly the community comes together to build accessible alternatives. OWL enables multi-agent collaboration for research, browsing, document parsing, and code execution.
Supports GPT-4o, Claude 3.5, DeepSeek, Qwen Runs locally with Ollama, vLLM, and SGLang Currently ranked #1 on the GAIA benchmark for open-source agent frameworks.
Check it out → https://github.com/camel-ai/owl