Exploring AgentOS from Agno: Beginner's Guide

In this video, I will dive into AgentOS from Agno, the third video in our Agno series. I’ll explore the UI and documentation of AgentOS, log into the Agent OS UI, and create a simple local agent connected to AgentOS. Follow along using my GitHub repository, where I've provided all necessary code. I will demonstrate agent interactions using the Wave interface, including asking questions in the chat interface and tracking session metrics. Additionally, I will explore running Agent OS with different tools and configurations, providing a step-by-step guide to leveraging Agent OS's full capabilities. Enjoy the journey through Agent OS, and let me know in the comments if you'd like more in-depth content or have any questions. Happy coding! AgentOS is Agno’s production-ready runtime that runs entirely within your own infrastructure, ensuring complete data privacy and control of your agentic system. Agno also provides a beautiful web interface for managing, monitoring, and interacting with your AgentOS, with no data ever being persisted outside of your environment 00:00 Introduction and Video Overview 01:08 Exploring the Agent OS UI 02:17 Understanding Agent OS Documentation 06:16 Creating and Connecting an Agent 08:48 Running and Testing the Agent 11:32 Troubleshooting and Browser Compatibility 15:53 Connecting to Agent OS with Different Methods 20:26 Conclusion and Next Steps Links ⛓️‍💥 https://github.com/ggml-org/llama.cpp https://docs.agno.com/concepts/tools/overview https://docs.agno.com/concepts/tools/toolkits/toolkits https://docs.agno.com/concepts/tools/mcp/overview https://docs.agno.com/agent-os/introduction https://github.com/sudarshan-koirala/agno/tree/main/agentOS --------------------------------------------------------------------- ☕ Buy me a Coffee: https://ko-fi.com/datasciencebasics ✌️Patreon: https://www.patreon.com/datasciencebasics ------------------------------------------------------------------------------------------ 🤝 Connect with me: 📺 Youtube: https://www.youtube.com/@datasciencebasics?sub_confirmation=1 👔 LinkedIn: https://www.linkedin.com/in/sudarshan-koirala/ 🐦 Twitter: https://twitter.com/mesudarshan 🔉Medium: https://medium.com/@sudarshan-koirala 💼 Consulting: https://topmate.io/sudarshan_koirala #agentos #mcp #llm #agno #datasciencebasics