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StableBrowse

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Browser Layer for AI agents

Spring 2026Founded 20264 peopleSan Francisco, CA, USA
AI insightcan contain mistakes
AI Agent Browser LayerAPI/InfraAI platforms, agent developers, automation companiesMedium competition
Moat
Proprietary knowledge graph of web semantics; LLM-native web protocol; developer adoption network.
Key risk
Web complexity high (dynamic rendering, CAPTCHA); site legal/ToS risk; competition from browser automation.
Why now
Agents need web control; visual scraping brittle; semantic web protocol enabling at-scale agent automation.
Competitors
Selenium, Playwright, Puppeteer, Robotic Process Automation tools

About

We are making the browser layer for your AI agents. Agents don’t need to see UIs like us humans do. We give agents a semantic understanding of the web instead of brittle visual interfaces. Your agents can perform deep research, large-scale scraping, and complex automation—more efficiently with our knowledge graphs that turns the web into a native protocol for LLMs.

Founders · 4

Sarthak Awasthi
Sarthak AwasthiFounder

Building cool stuff at StableBrowse

Jay Mehta
Jay MehtaFounder

Building a browser for agents @StableBrowse

Deepit Shah
Deepit ShahFounder

StableBrowse - Browser for AI Agents

Somansh Shah
Somansh ShahFounder

buildling @StableBrowse.

Launch

Launched on Y Combinator · May 2026
View launch post ↗

We enable agents to navigate the web with 70% fewer tokens and 4x faster execution.

StableBrowse builds a browser layer for AI agents by converting websites into structured execution graphs, giving agents persistent memory to navigate, fill forms, extract data, and handle changes. It targets agents that browse, scrape, monitor, or work within authenticated portals, delivering lower token usage and faster, more reliable workflows.

B2BInfrastructureAPIAutomationWeb DevelopmentAI

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