
Opal 2.0 by Google Labs
Now with smart agent, memory, routing and interactive chat
In plain words
Opal 2.0 is a no-code visual builder for AI workflows that enables users to create automated processes without programming. The upgraded version introduces an agent step that analyzes tasks and automatically selects appropriate tools like video generation or web search to complete them. It also includes new features for memory management, dynamic routing to direct workflows based on conditions, and interactive chat capabilities. The platform is designed for anyone building AI automation sequences.
written from the facts on this page · September 2026
From the sources
Opal, no-code visual builder for AI workflows, just got a major upgrade — a new agent step that analyzes your goal, determines the best approach, and automatically calls the right tools, such as Veo for video or web search for research, to complete the task. Also, new tools to make it more capable — Memory, Dynamic Routing and Interactive Chat.
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com

