ControlFlow – open-source AI workflows
Hi HN! I’m excited to share ControlFlow, our new open-source framework for building agentic workflows. ControlFlow is built around a core opinion that LLMs perform really well on small, well-defined tasks and run off the rails otherwise. I know that may seem obvious, but the key insight is that if you compose enough of these small tasks into a structured workflow, you can recover the kind of complex behaviors we associate with autonomous AIs, without sacrificing control or observability at each step. It ends up feeling a lot like writing a traditional software workflow. With ControlFlow you:…
ControlFlow – open-source AI workflows launched on June 25, 2024 with 42 votes, #769 of 4,672 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
ControlFlow is an open-source framework for building AI workflows that breaks down complex tasks into small, well-defined steps. It lets developers define structured tasks, assign specialized agents to complete them, and compose these tasks into executable workflows. Built on the principle that language models perform best on specific, bounded problems, ControlFlow aims to provide the complex autonomous behaviors of AI systems while maintaining control and visibility at each step, resembling traditional software workflow development.
written from the facts on this page · September 2026
From the sources
🦾 Take control of your AI agents. Contribute to prefect-archive/ControlFlow development by creating an account on GitHub.
In the maker’s words, at launch
Hi HN! I’m excited to share ControlFlow, our new open-source framework for building agentic workflows. ControlFlow is built around a core opinion that LLMs perform really well on small, well-defined tasks and run off the rails otherwise. I know that may seem obvious, but the key insight is that if you compose enough…
Does a similar job
all alternatives →
n8n AI Workflow Builder2025 · docs.n8n.io · ▲691Build AI automations & agents using natural language
Fine AI Coding Workflows2024 · fine.dev · ▲358AI workflows for streamlined software development lifecycle
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…
Agentflow – Run Complex LLM Workflows from Simple JSON2023 · github.com · ▲51So, it feels like this should exist. But I couldn't find it. So I tried to build it. Agentflow lets you run complex LLM workflows from a simple JSON file. This can be as little as a list of tasks. Tasks can include variables, so you can reuse workflows for different outputs by providing different variable values. They can also include custom functions, so you can go beyond text generation to do anything you want to write a function for. Someone might say: "Why not just use ChatGPT?" Among other reasons, I'd say that you can't template a workflow with ChatGPT, trigger it with different…
Flow by Laminar [LW24]2024 · github.com · ▲161Open-source dynamic task engine for building AI agents
Workflow Use – Deterministic, self-healing browser automation (RPA 2.0)2025 · github.com · ▲69Hey HN – Gregor & Magnus here again. A few months ago, we launched Browser Use (https://news.ycombinator.com/item?id=43173378), which let LLMs perform tasks in the browser using natural language prompts. It was great for one-off tasks like booking flights or finding products—but we soon realized enterprises have somewhat different needs: They typically have one workflow with dynamic variables (e.g., filling out a form and downloading a PDF) that they want to reliably run a million times without breaking. Pure LLM agents were slow, expensive, and unpredictable for these…
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 28d ago · world.pixverse.video
Source: Show HN post ↗ · launch text quoted in part
Launched alongside, June 2024
the whole month →
La Growth Machine▲1,216Create personalized, multi-channel conversations at scale
AI · 2024 · lagrowthmachine.com
PyjamaHR▲1,132Hiring on autopilot. The AI applicant tracking system (ATS).
Work · 2024 · pyjamahr.com