LayerFlow
AI Orchestration Platform Built to Run Your Entire Business
LayerFlow launched on August 17, 2026 with 1 votes, #11,494 of 23,274 launches that month.
What it does
LayerFlow is different from existing AI automation and agent platforms because it is designed to move beyond simply generating AI responses or running isolated agents. It acts as an AI-powered execution layer that can understand a business objective, coordinate specialized agents, generate the required work, verify the output, and produce a usable deliverable.
No-code AI agents for business: an AI SDR for sales, a 24/7 support chatbot, and marketing automation on one platform. Connect your CRM and start free.
Run an AI sales assistant, a 24/7 customer support chatbot, and marketing automation from one no-code platform. Connect your CRM and stop doing the busywork by hand. Coordinate every department, tool, and process under one intelligent layer. AI makes decisions, not just rules. Real-time dashboards across every metric. See what's working, what's failing, and what to do next — instantly. Connect every tool, automate every process, and let AI handle the complexity across your entire business. Deploy specialized agents across every department. They learn from your data, make decisions, and improve continuously. Not if/then rules. Real reasoning. AI evaluates context, weighs options, and adapts…from layerflow.org
Does a similar job
all alternatives →
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…
Flow by Laminar [LW24]2024 · github.com · ▲161Open-source dynamic task engine for building AI agents



More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 30d ago · world.pixverse.video

Source: Product Hunt launch ↗
Launched alongside, August 2026
the whole month →- TL
Life & fun · Aug 2026 · louisabraham.github.io

Clipto MCP▲655Hey HN, We recently built Clipto. It’s a tool that lets you search over terabytes of video, audio, and images on your computer, without relying on the cloud. Motivation: we probably all had this similar experience, we know a moment exists in a video or audio, but finding it takes hours scrubbing the timeline. You can send all the media to process in the cloud, but it’s slow, expensive and raises privacy concerns. So we decided to build our own on-device media search engine. How it works (high level): 1. We ingest video, audio, image; normalize formats via ffmpeg; run content analysis to…
Work · Aug 2026 · clipto.com

Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io

Astute▲606Automate your B2B brand going viral, with new media creators
AI · Aug 2026 · company-app.joinastute.com