Opal 2.0 by Google Labs – AI workflows with smart agent, memory, routing, and interactive chat

Summary: Opal 2.0 is a no-code visual builder that enhances AI workflows by adding a smart agent step to analyze goals, select the best approach, and call appropriate tools like Veo or web search. It introduces Memory for persistent context, Dynamic Routing for conditional logic, and Interactive Chat to enable user interaction within workflows.

What it does

Opal 2.0 transforms linear automations into decision-making systems by using an agent to determine the best method to complete tasks and integrating tools dynamically. It supports persistent context through Memory, conditional branching via Dynamic Routing, and user input with Interactive Chat.

Who it's for

It is designed for users building AI workflows that require adaptive logic, long-term context, and interactive elements without coding.

Why it matters

It solves the limitation of static workflows by enabling AI-driven decision-making and context retention, making no-code AI builders more powerful and flexible.