Currently AI browser agents send screenshots to the model. Each screenshot costs thousands of tokens. Over a multi-step task, that means high latency and high API cost.
This package takes a different approach: it renders pages as ASCII wireframes with numbered elements. The agent sees [12]Sign Up instead of a 1280x720 image. Same information, far fewer tokens.
It started as a way to make my own agents cheaper to run. Then I build a package around it. Fully open source and open to feedbacks!
About Agent Browser on Product Hunt
“Browser Agents that communicate using ASCII wireframes”
Agent Browser launched on Product Hunt on March 12th, 2026 and earned 145 upvotes and 7 comments, placing #14 on the daily leaderboard. Stop wasting tokens on screenshots. Agent Browser helps AI agents browse the web using wireframe snapshots rather than screenshots or DOM dumps.
On the analytics side, Agent Browser competes within GitHub and YC Application — topics that collectively have 41.2k followers on Product Hunt. The dashboard above tracks how Agent Browser performed against the three products that launched closest to it on the same day.
Who hunted Agent Browser?
Agent Browser was hunted by Ahmet Hüseyin Dok. 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 Agent Browser including community comment highlights and product details, visit the product overview.
Ahmet Hüseyin Dok