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Tired of AI agent frameworks slower than a sloth on sedatives? Agno sprints onto the scene, claiming speeds that make LangGraph look like dial-up (allegedly 10,000x faster!). In this whirlwind tour, we ditch the old pip for the speedy uv package manager (because who has time?), build Agno agents from simple chat pals to RAG-powered PDF-reading wizards, give 'em tools (DuckDuckGo for web surfing!), memories that might actually stick (thanks SQLite!), and even make them work in teams (less arguing than human teams, probably). Join me as he explores Agno, its powerful features, extensive toolkits, model agnosticism (play nice with OpenAI, Anthropic, Mistral & more!), and the magical observability dashboard. Will Agno become your new favorite Python library for AI agents? Let's find out! (Warning: May cause uncontrollable agent building. Coffee not included.) Article: https://www.bitdoze.com/agno-get-start/ 00:00 - What ARE AI Agents? Agno Intro & Levels of Agency 00:49 - Agno's Toolbox: More Gadgets Than Batman! (DuckDuckGo, LanceDB, etc.) 01:12 - Agno's Speed Claim: 10,000x Faster Than LangGraph?! 🤯 01:34 - LLM Buffet: Agno Plays Nice with Everyone (OpenAI, Anthropic, Mistral & More) 02:30 - Peeking Under the Hood: Agno Observability Dashboard 03:13 - Setup Time: Ditching pip for the Speedy uv Package Manager 04:40 - Let's Build: Initializing Your Agno Adventure Project with uv 06:36 - Installing the Essentials (Agno, LanceDB, DuckDuckGo, etc.) with uv 08:00 - API Key Time: Feeding Your OpenAI Key 08:57 - Baby's First Agent: Simple, Yet Chatty 11:24 - Giving Your Agent Web Wings: Adding the DuckDuckGo Tool 14:58 - Agent Memory Upgrade: Making it Forget Less (SQLite Storage) 19:06 - RAG Magic: Letting Your Agent Read PDFs with LanceDB! 23:30 - Putting RAG to the Test: Querying the PDF Knowledge 26:13 - Agent Needs Backup? Auto Web Search for French Fries! 28:35 - Avengers Assemble! Building a Team of Agno Agents (Chef & Researcher) 32:50 - Running the Agent Team: Let the Collaboration Begin! 35:20 - Agno Extras: Playground & More Observability 35:56 - Final Thoughts & Farewell!