StableBrowse

Active

Browser Layer for AI agents

Spring 2026Founded 20264 peopleSan Francisco, CA, USA

stablebrowse.com/ ↗LinkedIn ↗See on the Idea Map B2B momentum

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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.

From their website

as of Jun 7, 2026stablebrowse.com ↗

Enterprise/ContactSubscription

StableBrowse provides a browser infrastructure layer that converts websites into reusable knowledge graphs, enabling AI agents to navigate, query, and execute tasks with reduced guesswork. It emphasizes persistent site memory, deterministic execution graphs, and scalable browser infrastructure for enterprise workflows.

StableBrowse builds a reusable site graph from target websites, encoding page semantics, DOM anchors, forms, actions, and endpoints into a knowledge graph. It provides persistent memory across runs, so agents reuse learned workflows and state transitions. The product includes browser infrastructure (managed headless clusters, rotating proxies, session persistence, anti-detection), custom schema APIs (REST/WebSocket) to output structured JSON, and a guided enterprise layer with onboarding, validation, and ongoing maintenance to ensure deterministic navigation and execution of repetitive web tasks.

Who it’s for: Enterprises with repetitive web-based workflows requiring reliable automation and AI agent navigation across sites (e.g., insurance, healthcare, mortgage, product discovery), including teams needing compliant, scalable browser automation.

Features

Knowledge graphs of target websites (pages, forms, navigation, auth gates)
Persistent site memory across agent runs
Deterministic execution map with state nodes and transitions
Managed headless browser clusters with rotating proxies
Custom API schemas (REST/WebSocket) for data extraction and actions
End-to-end onboarding, validation, and SLA-backed support
Priority engineering support and dedicated communication channels

Hiring and enterprise-focused scaling evident from pricing for custom enterprise deployments, dedicated support, and scoping calls; HIPAA and SOC 2 progress referenced, indicating regulatory readiness.

Founders · 4

Sarthak AwasthiFounder

Building cool stuff at StableBrowse

LinkedIn ↗X ↗

Jay MehtaFounder

Building a browser for agents @StableBrowse

LinkedIn ↗

Deepit ShahFounder

StableBrowse - Browser for AI Agents

LinkedIn ↗

Somansh ShahFounder

buildling @StableBrowse.

LinkedIn ↗

Launch · 1 launch

StableBrowse - Browser Layer For AI Agents · May 2026
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We enable agents to navigate the web with 70% fewer tokens and 4x faster execution.
StableBrowse converts dynamic websites into structured execution graphs to enable AI agents to navigate web tasks reliably without repeating actions. The platform reduces token usage by 70-80% and execution time by 3-4x for web scraping, form filling, and authenticated portal navigation.
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B2B InfrastructureAPIAutomationWeb DevelopmentAI