Features
act(): Perform browser actions from plain-English instructions
extract(): Pull structured data with Zod schema validation
observe(): Discover actionable elements before committing
agent(): Run multi-step workflows autonomously
AI-resolved instructions survive DOM changes
Works locally with any Chromium browser
Optional Browserbase cloud integration
TypeScript and Python SDKs
Open source (MIT license)
Deterministic control – not a black-box agent
Session replay via Browserbase
Captcha solving via Browserbase
Zero-infrastructure deployment via Browserbase Functions
Supports OpenAI, Anthropic, Google Gemini LLMs
Vercel AI SDK integration
Live knowledge graph from code, commits, issues, and docs
Feasibility analysis: flags buildable vs risky items
Technical design document generation grounded in service topology
Impact assessment maps services, APIs, and dependencies across repos
Auto-scoping epics into Jira/Linear stories with effort estimates
One-shot production code generation grounded in service patterns
AI code reviews with cross-repo impact analysis
Production issue triage via MCP
Conversational learning from Slack and Jira
Accelerated onboarding via system-level Q&A in coding agents
Create Jira tickets and merge requests from Slack
MCP server for integration with Cursor, Claude Code, Codex
On-prem or cloud deployment
No code storage or model training
