Steel addresses the infrastructure gap between browser automation frameworks and production-scale AI agent deployments. Tools like Browser Use, Stagehand, and Playwright provide the orchestration logic for navigating websites, but running reliable browser sessions at scale requires solving a different set of problems: anti-bot detection, IP rotation, CAPTCHA handling, session persistence across page navigations, and resource management for concurrent browser instances. Steel packages these infrastructure concerns into a clean API that automation frameworks can connect to, separating the what (agent logic) from the how (browser infrastructure).
The platform exposes browser sessions through a RESTful API with WebSocket streaming for real-time interaction. Each session runs in an isolated browser context with configurable stealth headers, rotating residential proxies, and automatic CAPTCHA solving. Sessions can persist cookies and localStorage across multiple API calls, enabling workflows that require authenticated browsing like logging into dashboards or managing accounts. The session recording feature captures full interaction traces for debugging and compliance, while resource limits prevent runaway sessions from consuming excessive compute.
Steel grew 50x through 2025 as AI agent adoption accelerated and developers discovered that reliable browser infrastructure was the bottleneck for production deployments. The open-source core under Apache-2.0 can be self-hosted via Docker for teams that need data sovereignty, while the managed Steel.dev cloud handles scaling and proxy management for usage-based pricing. With over 6,000 GitHub stars and integration partnerships with major browser automation frameworks, Steel has carved out the browser infrastructure as a service niche within the AI agent ecosystem.
