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:- define structured tasks for your agents to achieve,- assign one or more specialized agents to each task,- then compose the tasks into a workflow for execution.We've been working toward this for a while, applying insights from our work on Prefect (our workflow engine) and Marvin (our LLM framework). ControlFlow is our effort to bridge the gap between all those impressive AI demos and what we see B2B users actually trying to accomplish in production. More often than not, their goal is to sanely delegate a few steps of a workflow to an AI, not deploy a suite of end-to-end autonomous while loops.This is ControlFlow's initial release and we’d love your feedback. We hope it's a refreshing take on making LLMs feel like software again! You can check out the repo here: https://github.com/prefecthq/controlflow/

Questflow is the AI-native way to automate tasks across platforms - sending Emails, updating Calendars, organizing Databases, posting on Social Media, etc., all in a text-to-workflow platform.

If you are doing the same things over and over every day, you can try automating it with Nekton. Just describe what needs to be done in plain English, step by step. Nekton will then convert your steps into executable code using GPT 4, and run them in the cloud.Here is a sample workflow that shows service features - https://nekton.ai/start/162-Xcz3PZOkB8OhIeFlOeBTVAYou can automate many different things. Here are some things you can try:* Find top Reddit posts about AI and send them to my Discord channel.* Get Reddit posts that mention my project and create a tweet for them.* Assign my latest GitHub pull request to a person with the fewest open PRs in the project.* Automate technical support - https://nekton.ai/start/143-HpJtyXEzfRv7UKvqOHySkwFeatures:* Create reusable automated workflows.* Share workflows with other people - you can send them a link that will start a workflow.* Collect input with forms before running the automation.* Run your automation on a schedule. Workflows run in the cloud - no need to keep your browser open.* Use other services from your workflow. Nekton can securely store access tokens and other credentials needed to access outside services and apps.* Mix together manual and automated steps in a single workflow.Since the last post, we made multiple improvements to make it easier to automate things and connect to external services.I work on this project, and curious to know your thoughts!

Show HN: Nekton - Automate your workflows with AIHi HN,I'm Alex, founder of Nekton. You can use this service to automate your workflows. First, you can describe your workflow as text steps, and then Nekton AI will convert them to code and run it in the cloud.The code can make network calls and integrate with different external APIs and services.Nekton is in early access, but you already can create step-by-step checklists, mix together manual and automated tasks in a single workflow, collect user input with forms, and share the workflow with your teammates.We have a sample workflow that you can play around with after signup.Let me know what you think!

Trudo.ai lets users build workflows with Python-powered nodes. An AI copilot generates nodes from plain English descriptions, viewable and editable in both Code and UI formats. Users can modify nodes easily while keeping full control over adjustments.

Manaflow is the simplest way to automate repetitive office work in tables using natural language. With one click, you can execute millions of tasks involving data transformation, gluing APIs, and taking actions with AI agents.

Hey, Lorenzo here,Started to work on this side-project for a week or so, I’m curious what y’all think! Coflow connects AI to your current platforms and automates any repetitive/manual task without coding. How it works:- Specify the trigger/input the AI should expect- Tell the AI what to do- Specify where to send/store the output- Deploy and let it runWould love your feedback :)Early access: https://www.joincoflow.com/

AgentHub is a no-code platform for building powerful AI automations. Our drag-and-drop visual builder lets users create reliable and cost-effective AI-powered automations. Fully automate tasks end-to-end without writing a line of code.

So, 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 variable values, easily add in custom functions, or force the use of custom functions for steps in the workflow.Someone might also say: "Then why not use Auto-GPT or BabyAGI?" Among other reasons, I'd say you can't if you want consistency because these tools operate autonomously, creating and executing their own tasks. Agentflow, on the other and, lets you define a step-by-step workflow to give you more control.I'd like to do more with this, including adding more custom functions, and more examples, and more ways to trigger workflows (such as in response to events). But first, I want to make sure I'm not wasting my time! For starters, if something like this already exists, please tell me.

I built this Plan and Solve (PS) agent because I struggled to build stable sequential tasks with LangChain and GPT3.5 turbo. After many failed attempts with LangChain's PS agent, I decided to build my own.I built the agent in a way that it acts as a workflow automation co-pilot rather than trying to play AGI. For example, the user has to tell the Lemon Agent which task needs to be solved and whether the suggested workflow automation is the right one for the task. I decided to go with a PS architecture since I consider the separation of responsibility a great way to increase the accuracy of agents, which is one of the main reasons why I built this agent. I am actively thinking about adding a workflow automation-specific third agent that helps with input validation (so kind of a ‘PVS’ agent) to make the input parameter provision in each workflow step more accurate.I’d love to hear your thoughts and get some initial feedback!