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ActBrow
Embed a page-aware AI agent in any web app
Most in-app chat explains. ActBrow acts. Add two script tags and your users ask in plain English, ActBrow reads the page they're on, moves them through your app's own router, and calls only the APIs you've declared. Every run is traced step by step, writes can run in shadow mode first, and one switch stops all tool calls. Setup is a single prompt your coding agent runs in your repo. Open source (MIT) self-host with Docker + Postgres, or use hosted free in early access.
Hey Product Hunt 👋 I'm Deepak, and I built ActBrow.
I kept seeing the same problem: users knew what they wanted to do inside a product, but couldn't figure out where to do it.
The usual solution is support chat → help article → user figures it out themselves.
ActBrow tries to close that gap. It's an AI agent that runs inside your app. It understands the page the user is on, navigates through your app's own routes, and calls the APIs you've already built.
The part I care about most is control. ActBrow doesn't blindly click around your UI. It can only use the routes and APIs you explicitly expose.
Every run is recorded step by step: model decision → tool call → result → verification.
You can also run writes in shadow mode before allowing them to actually change anything, and there's a kill switch.
You can try it right now at actbrow.depak.dev — the chat bubble on our own site is ActBrow itself. It's running with the same two script tags you'd add to your app.
ActBrow is MIT open source. You can self-host it with Docker + Postgres, or use the hosted version free during early access.
If you find ActBrow useful, a star on the GitHub repo would mean a lot — it helps us get it in front of more people. https://github.com/depak7/actbrow ⭐
It's still early. If you try it, I'd genuinely like to know where it breaks.
About ActBrow on Product Hunt
“Embed a page-aware AI agent in any web app”
ActBrow was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #138 on the daily leaderboard. Most in-app chat explains. ActBrow acts. Add two script tags and your users ask in plain English, ActBrow reads the page they're on, moves them through your app's own router, and calls only the APIs you've declared. Every run is traced step by step, writes can run in shadow mode first, and one switch stops all tool calls. Setup is a single prompt your coding agent runs in your repo. Open source (MIT) self-host with Docker + Postgres, or use hosted free in early access.
On the analytics side, ActBrow competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how ActBrow performed against the three products that launched closest to it on the same day.
Who hunted ActBrow?
ActBrow was hunted by Depak. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of ActBrow including community comment highlights and product details, visit the product overview.
Depak
Hey Product Hunt 👋 I'm Deepak, and I built ActBrow.
I kept seeing the same problem: users knew what they wanted to do inside a product, but couldn't figure out where to do it.
The usual solution is support chat → help article → user figures it out themselves.
ActBrow tries to close that gap. It's an AI agent that runs inside your app. It understands the page the user is on, navigates through your app's own routes, and calls the APIs you've already built.
The part I care about most is control. ActBrow doesn't blindly click around your UI. It can only use the routes and APIs you explicitly expose.
Every run is recorded step by step: model decision → tool call → result → verification.
You can also run writes in shadow mode before allowing them to actually change anything, and there's a kill switch.
You can try it right now at actbrow.depak.dev — the chat bubble on our own site is ActBrow itself. It's running with the same two script tags you'd add to your app.
ActBrow is MIT open source. You can self-host it with Docker + Postgres, or use the hosted version free during early access.
If you find ActBrow useful, a star on the GitHub repo would mean a lot — it helps us get it in front of more people. https://github.com/depak7/actbrow ⭐
It's still early. If you try it, I'd genuinely like to know where it breaks.