Flows – Google Colab meets Notion, designed for AI workflows
Hey HN! Pretty excited to show Flows— something that we’ve been working on for past few weeks! What is Flows? Flows lets you create multi-step AI workflows in minutes by chaining modular blocks like: - LLM calls - API calls, - Code execution - RAG - Document Parsing …and 50+ more tools. Why You'll Love Flows - Test Flows on your datasets—with thousands of rows effortlessly! - Deploy workflows to production and scale your AI applications. - Collaborate with your team or share workflows publicly. Which workflow would you build with Flows? Share your ideas below!
Flows – Google Colab meets Notion, designed for AI workflows launched on January 8, 2025 with 11 votes, #1,388 of 6,142 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
Flows is a platform for building multi-step AI workflows by connecting modular blocks such as language model calls, API integrations, code execution, and document parsing. It enables users to test workflows against large datasets and deploy them to production. The tool is designed for teams working on AI applications who want to construct and scale automation without writing extensive code from scratch.
written from the facts on this page · September 2026
Does a similar job
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Flow – A dynamic task engine for building AI agents2024 · github.com · ▲160I think graph is a wrong abstraction for building AI agents. Just look at how incredibly hard it is to make routing using LangGraph - conditional edges are a mess. I built Laminar Flow to solve a common frustration with traditional workflow engines - the rigid need to predefine all node connections. Instead of static DAGs, Flow uses a dynamic task queue system that lets workflows evolve at runtime. Flow is built on 3 core principles: * Concurrent Execution - Tasks run in parallel automatically * Dynamic Scheduling - Tasks can schedule new tasks at runtime * Smart Dependencies - Tasks can…
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