Browser Use

Browser Use is an open-source browser automation platform for AI agents that need to work on real websites. It combines a developer-facing API, hosted browser sessions, proxy bandwidth, and model-based agents so teams can run web tasks without maintaining their own browser fleet. The product is positioned around agents at scale, undetectable browsers, and an API for any website.

Key Highlights

• Open-source browser automation platform with 78,000+ GitHub stars
• API for running browser tasks against websites
• Hosted cloud browser sessions with advanced stealth
• Fully hosted v3 agent and pay-as-you-go usage credits
• Bring your own Anthropic, OpenAI, or Google API key
• Free start with 3 concurrent sessions and 10 agent tasks per month

What Makes It Different

Browser Use sits between a code-first browser automation library and a hosted browser infrastructure service. Developers can pair the open-source library with Browser Use cloud browsers, or use the fully hosted v3 agent when they want less browser operations work.

Its pricing model also makes the infrastructure pieces visible. Credits can be spent across browser sessions, proxy bandwidth, model usage, V2 agent steps, and dedicated Browser Harness boxes, which helps teams estimate the real cost of running agents at higher concurrency.

Features & Capabilities

The core workflow is built around automating websites through an API and cloud browser sessions. Browser Use lists advanced stealth, 3 to 500 concurrent sessions depending on plan, top-ups, proxy options, and bring-your-own-key support for Anthropic, OpenAI, and Google.

For hosted agents, Browser Use offers token-based pricing at 1.2x provider rates, a V2 agent with task initialization and per-step costs, and an open-source library path that can use the Browser Use LLM. Browser Harness adds dedicated boxes billed while running, with small, medium, and large tiers for heavier personal agent setups.

User Ratings and Testimonials

Browser Use leans on public adoption signals rather than review scores: 78,000+ GitHub stars and Fortune 500 trust. Practical caveats are mostly operational. Agent runs can include hourly browser sessions, proxy bandwidth, egress, token usage, orchestration fees, and per-step charges, so teams should model workloads before scaling.

Pricing & Value

• Free: $0, with 3 concurrent sessions, 10 agent tasks per month, and the option to add credits for pay-as-you-go usage
• Dev: $29/mo, with $29 in monthly credits, 25 concurrent sessions, advanced stealth, top-ups, and bring-your-own-key support
• Business: $299/mo, with $299 in monthly credits and 200 concurrent sessions
• Scaleup: $999/mo, with $999 in monthly credits and 500 concurrent sessions
• Enterprise: Custom annual credit pool, SLAs, data retention terms, dedicated support, and more

Usage rates include browser sessions at $0.02/hour, proxy bandwidth at $5/GB, proxyless or bring-your-own-proxy egress at $0.20/GB, task initialization at $0.01/task, and V2 LLM cost per step from $0.006.