Скачать или смотреть Choose an Agentic Framework for Human in the Loop. LangGraph vs Google ADK vs OpenAI Agents SDK

I built the same AI agent three times to settle this once and for all: which framework actually handles human-in-the-loop best?

🔥 The Contenders:
LangGraph - The documentation darling with proper interrupts
OpenAI Agents SDK - Requires serious Python gymnastics
Google ADK - Clean callbacks, but is it production-ready?

⚡ The Challenge:
Build a supervisor agent that manages Gmail and Slack agents, with mandatory human approval for all "send" actions. No accidents, no "oops I sent that to the CEO" moments.

🚀 Why This Matters:
Human-in-the-loop isn't optional when your agent can send emails, post to Slack, or move money around. You need bulletproof control flow, and these frameworks handle it very differently.

🛠️ The Stack:
Arcade.dev handles OAuth nightmares and API integrations
AgentOps tracks everything - tokens, costs, performance across all frameworks

⚡ My Verdict:
Production today → LangGraph
Learning/exploring → Google ADK
Understanding internals → OpenAI SDK

Watch the step-by-step OpenAI Agents SDK tutorial:    • I Built This Gmail-Slack AI Assistant in 1...  

💻 Get the code: https://github.com/ArcadeAI/framework...
👉 Create an Arcade account: https://try.arcade.dev/register
📖 Read the quickstart docs: https://docs.arcade.dev/
🖇️ Get enterprise-level observability at AgentOps: https://www.agentops.ai/

Drop a comment - which framework would you pick and why?

#AIAgents #LangGraph #OpenAI #AgentOps #Arcade #HumanInTheLoop