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StableBrowse

StableBrowse provides an enterprise‑grade browser runtime that embeds AI agents directly into the browser, enabling secure, authenticated interaction with web applications without custom preprocessing scripts. It offers built‑in support for login flows, session management, and real‑time safety controls that monitor and abort unsafe LLM actions, allowing reliable automation at scale.

Founded 20254100+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

AI agents and large language models often cannot interact reliably with authenticated web applications because they require extensive preprocessing scripts and lack built-in mechanisms to handle login flows, session management, and security constraints. This limits their use in production environments where secure, authenticated access is mandatory.

Solution

StableBrowse offers an enterprise‑ready browser runtime that embeds AI agents directly into the browser layer, eliminating the need for separate preprocessing scripts. The platform remaps browser internals to expose execution semantics and actionability for agents, while providing native authentication integration to securely access protected sites. It builds knowledge graphs of page state, actions, and auth context, enabling agents to navigate and recover from errors autonomously. Production safety features allow operators to kill, warn, or stop hallucinated LLM actions, ensuring reliable and secure automation.

Target Audience

Primary customers are enterprises that deploy AI‑driven automation, conversational agents, or LLM‑based workflows requiring secure interaction with internal web applications and SaaS platforms.

Features

  • Refactored browser core that preserves execution while exposing a programmable interface for AI agents
  • Built‑in authentication support for enterprise login flows, single sign‑on, and session management
  • Automatic construction of knowledge graphs linking page states, user actions, and authentication context
  • Safety controls to monitor, warn, or abort hallucinated or unsafe LLM actions in real time
  • Configuration of agents at the browser layer without requiring additional preprocessing scripts
  • Designed for production deployment with enterprise‑grade stability and scalability
This profile is AI-generated and may contain inaccuracies.