Mar 26
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I ran the same task on LangGraph and Google ADK. One finished in 53ms. The other took 4 seconds — but it gave me a better answer. That gap is not a bug. It is architecture. In this video, I break down the 2026 battle between two agentic blueprints. You will see exactly when to use each framework and why your choice of orchestration matters more than raw speed. I build it. I test it. Here is the logic. ▶ WHAT YOU WILL LEARN - What LangGraph actually is — plain English, no hype - Google ADK (Agent Development Kit) — how the "Agentic Mesh" works - Live Demo: LangGraph parallel fan-out (53ms local execution) - Live Demo: Google ADK SequentialAgent + Gemini 2.5 Flash - The "ThreadedChildRunner": The fix for the "Future attached to a different loop" runtime error. ▶ THE ARCHITECT’S RULE - Use LangGraph when the logic is yours (Control/Map). - Use ADK when the logic needs a brain (Intelligence/City). ▶ RESOURCES ⦿ GitHub Source Code → https://github.com/atef-ataya/google-adk-langgraph ⦿ 𝐓𝐡𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭'𝐬 𝐏𝐥𝐚𝐲𝐛𝐨𝐨𝐤: https://www.amazon.com/dp/B0GCGB3B7Z ⦿ 𝐃𝐞𝐩𝐰𝐢𝐫𝐞: https://depwire.dev ⦿ 𝐓𝐡𝐞 𝐂𝐨𝐧𝐭𝐞𝐱𝐭 𝐋𝐚𝐲𝐞𝐫 𝐒𝐞𝐫𝐢𝐞𝐬: https://www.youtube.com/watch?v=dkEUpfHYJ_k&list=PLQog6EfhK_pLacZtSXqNp2vuPKMjZoHaF ⦿ 𝐅𝐮𝐥𝐥 𝐑𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬 & 𝐒𝐨𝐮𝐫𝐜𝐞𝐬: https://github.com/atef-ataya ▶ CHAPTERS 0:00 The result that shifted my view 0:35 What is LangGraph — plain English 0:57 What is Google ADK — plain English 1:20 Live demo — LangGraph parallel fan-out 2:37 Live demo — ADK SequentialAgent 3:39 The real comparison — not a race 4:41 ThreadedChildRunner — the fix nobody tells you 5:29 Verdict + next video 🤝 𝐂𝐎𝐍𝐍𝐄𝐂𝐓 𝐖𝐈𝐓𝐇 𝐌𝐄 🌐 𝐖𝐞𝐛𝐬𝐢𝐭𝐞: https://atefataya.com 📸 𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: @atefataya 🐦 𝐗 (𝐓𝐰𝐢𝐭𝐭𝐞𝐫): https://x.com/atef_ataya 🎵 𝐓𝐢𝐤𝐓𝐨𝐤: @atayaatef 💻 𝐆𝐢𝐭𝐇𝐮𝐛: https://github.com/atef-ataya 💼 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: /atefataya 📕Book: https://www.amazon.com/dp/B0GCGB3B7Z 🧰 Depwire: https://depwire.dev 🔔 𝐖𝐇𝐀𝐓'𝐒 𝐍𝐄𝐗𝐓 Subscribe for more technical deep dives into AI capabilities, no-hype reviews, and explorations of what's now possible with AI tools. #langgraph #googleadk #aiagents #python #llm #agentarchitecture #gemini #aiengineering #2026