Browser Use
Open-source browser agents and managed browser automation
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What this product helps you do
Browser Use spans a free open-source agent library, a CLI for giving existing agents browser control, and hosted cloud APIs for managed agents and browsers. Developers can choose how much of the model, agent runtime, browser infrastructure, profiles, recordings, proxies, and observability they want to manage.
Problems it solves
- AI applications need structured control of real browser sessions
- Production browser automation requires infrastructure beyond a local script
- Authenticated tasks need reusable browser state and profile handling
- Teams need visibility into live and completed browser runs
Browser Use is a browser-agent platform with several deployment paths. Developers can run the open-source Python library locally, use the CLI to give an existing coding or general agent browser control, connect their own agent to managed cloud browsers, or submit tasks to a fully hosted agent API.
Cloud capabilities include browser sessions, profiles, live previews, recordings, proxies, files, events, and API controls. The library is MIT licensed; cloud services are usage based and new accounts currently receive a limited introductory credit.
Information
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Browser Use
Open-source browser agents and managed browser automation
Browser Use is a browser-agent platform with several deployment paths. Developers can run the open-source Python library locally, use the CLI to give an existing coding or general agent browser control, connect their own agent to managed cloud browsers, or submit tasks to a fully hosted agent API.
Cloud capabilities include browser sessions, profiles, live previews, recordings, proxies, files, events, and API controls. The library is MIT licensed; cloud services are usage based and new accounts currently receive a limited introductory credit.
What this product helps you do
Browser Use spans a free open-source agent library, a CLI for giving existing agents browser control, and hosted cloud APIs for managed agents and browsers. Developers can choose how much of the model, agent runtime, browser infrastructure, profiles, recordings, proxies, and observability they want to manage.
Problems it solves
- AI applications need structured control of real browser sessions
- Production browser automation requires infrastructure beyond a local script
- Authenticated tasks need reusable browser state and profile handling
- Teams need visibility into live and completed browser runs
Information
You are leaving botconomy for the provider’s website. Link verified 9/22/2026.
Related AI products
Daizy
Daizy provides AI agents designed to enhance marketing, sales, and research efforts within financial services, automating tasks such as content generation and client engagement to increase productivity.
Letta
Letta provides an agent harness, applications, and developer interfaces for building stateful agents whose memory, identity, tools, and conversations persist over time.
Dify
Dify is an open-source platform for visually building agents, workflows, chatbots, and RAG applications, then publishing them as web apps or APIs on Dify Cloud or self-managed infrastructure.