Browser Operator
by Browser Operator · Open-source AI browser with agents for research and workflow automation
39 — BenchRank score out of 100
Screenshots of Browser Operator
Homepage
Overview
Browser Operator is an open-source AI browser that runs agents against the pages you already have open. It ships a search agent, a deep research agent and a workflow agent, connects to tools such as Jira, Confluence, GitHub, Slack and G-Suite over MCP, and works with any local or cloud LLM. A guardrails engine adds policy rules and line-level audit logs.
- Best for
- Teams that want an open-source AI browser for web research and repetitive browser workflows
- Pricing
- No prices are shown on the captured pages; the site offers a download and a beta programme, and the "What does Browser Operator cost?" FAQ answer was not captured.
- Runs on
- macOS
Strengths and trade-offs
Strengths
- Open source, and works with local or cloud LLMs you choose
- MCP links to Jira, Confluence, GitHub, Slack and G-Suite
- Agents act on the live page you are already viewing
- Policy DSL, explain-before-act and line-level audit logs
Trade-offs
- In beta and still being refined with early users
- No prices published anywhere on the captured pages
- Means switching to a separate downloaded browser
- Needs an LLM you connect yourself, local or cloud
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
- MCP support
- 0 out of 100
- Documentation
- 60 out of 100
- Agent friendliness
- 82 out of 100
- Changelog
- 55 out of 100
- Marketing site structure
- 35 out of 100
- Operational trust
- 0 out of 100
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
- Openness
- 60 out of 100
- Maintenance
- 70 out of 100
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