How to choose the best Agentic Framework, Part 1: Human in the Loop
Blog post from Arcade
The blog post explores the evolving landscape of agentic frameworks, focusing on how different systems approach agent orchestration and Human-in-the-Loop (HITL) processes. The author experiments with three frameworks—LangGraph, OpenAI's Agents SDK, and Google's Agent Development Kit (ADK)—to implement a supervisor-based agentic system, each with distinct approaches to HITL. While LangGraph is praised for its sophisticated documentation and ease of implementation using graph states and interrupts, the ADK offers simplicity through callbacks, albeit with some ergonomic challenges. OpenAI's SDK, although valuable for deepening Python knowledge, is criticized for its awkward control flow mechanisms. The post emphasizes that the best framework depends on the user's goals, recommending LangGraph for production-ready projects and ADK for beginners due to its clarity in illustrating architectural patterns. The full experiment is open-source and accessible for further exploration.