TypeScript (and Python) SDK that layers natural-language AI actions — act(), extract(), observe(), agent() — on top of Playwright, so developers can blend deterministic code with AI-driven browser steps.
Key Features
Single Agent Human-in-the-Loop Async Support Type Safe Short-Term Memory Custom Tools MCP Protocol Web Browsing Structured Output CLI Self-Hosted Cloud Hosted
Community Feedback
Strengths
- Lets developers mix deterministic Playwright code with AI actions in the same script
- Auto-caching/self-healing reduces repeated LLM cost on stable pages
- Backed by a well-funded company (Browserbase, $67.5M+ raised) with active full-time maintainers
Weaknesses
- Best cloud experience (proxies, anti-bot, CAPTCHA solving) is tied to the paid Browserbase platform
- MCP client support is TypeScript-only as of v3
- AI-driven steps still depend on LLM accuracy/latency, unlike pure selector-based scripts
Stagehand Details
| Organization | Browserbase, Inc. |
| Organization Type | Company |
| Funding | Series b+ |
| Category | SDK |
| Subcategory | Browser automation |
| Deployment | Sdk Library |
| Primary Language | TypeScript |
| Runtime | Node.js; Playwright/CDP-driven browser |
| License | MIT |
| Commercial Use | Unrestricted |
| Install Command | npm install @browserbasehq/stagehand |
| GitHub Stars | 23,614 |
| GitHub Forks | 1,624 |
| Open Issues | 283 |
| Contributors | 42 |
| Last Commit | 2026-07-23 |
| First Release | 2024-11-01 |
| Release Cadence | Frequent (roughly weekly releases) |
| Maturity | Stable |
| Pricing Model | Freemium |
| Free Tier | Stagehand SDK itself is free and MIT-licensed; free to run against a local/self-hosted browser with your own LLM key |
| Self-Hosted Free | Yes |
| Cost Model | free SDK + LLM inference cost + optional paid Browserbase cloud browser hosting |
| Community Size | Large (23.6k GitHub stars) |
| Community Activity | Very active |
| Sentiment | Positive |
| GPU Required | No |
| Research Date | 2026-07-23 |
| LLM Providers | OpenAI, Anthropic, Google Gemini |
| API Keys Required | LLM provider API key (OpenAI/Anthropic/Google, etc.), Browserbase API key + Project ID (for cloud browser mode; optional for local mode) |
Use Cases
- Scraping and structured data extraction from websites using natural-language + Zod schemas
- Automating multi-step web workflows (form filling, checkout, navigation) with act()/agent()
- Caching and replaying previously AI-resolved actions to avoid repeat LLM inference cost
- Building custom browser agents on top of Browserbase's hosted/cloud browser infrastructure
When to Use
Best for: Developers who want production-grade, maintainable browser automations that blend deterministic Playwright code with AI for the unpredictable parts
Avoid when: You need a fully no-code, non-technical workflow builder or a turnkey managed automation product without writing any TypeScript/Python
Original data from HuggingFace, Arena and various public git repos.
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Release v20260328a