Stagehand
@Stagehanddev
the SDK for browser agents, built by @browserbase
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Computer use models are getting really fast.
Opus 5 (released in July '26) averages 678s per task while newer models like Opus 5.5 average 326s, ~2x speed up.
See the speed up for yourself across 72 model x harness combinations at
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How do you actually build an effective harness with Claude?
We had Thariq (@trq212) from Anthropic at Navigate 2026 to talk about "Unhobbling Claude", the difficulties and processes on how to build agents and harnesses.
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Stripe's new WebMCP endpoint lets your agents make full purchases on the web.
Using @Stagehanddev you can navigate to any Stripe checkout page and use their new WebMCP tools to fill the checkout and fetch order details.
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Stagehand can use Stripe's new WebMCP tools in checkout pages.
Run to see what WebMCP connectors a page exposes. With Stripe, you can use Stagehand to add items to cart and complete the checkout with native tools.
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Jev wasn't meant to build Agents.
Instead, we added it to @Stagehanddev's AI-powered primitives Act, Extract, and Observe.
Rather than a fully autonomous agent, we use Jev as a decision layer: which element to click, field to fill, or text to extract.
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Everyone can build Agentic Commerce using the @link and Browse CLI powered by Stagehand!
it seems like agentic commerce is finally solved with stripe link. and we're excited to partner with stripe to enable all agents to transact online.
your agent can now natively make payments on the web using link cli + browserbase.
one shot prompt:
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we built blazing fast computer/browser use with Jev + @Stagehanddev.
this task cost $0.001 and executed at near instant speed (in a remote browser btw)
the loop: observe the page, send a11y tree as state + actions as questions, Jev decides the next action, then Stagehand executes it.
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you can build a price-monitoring tool on @browserbase in <5 minutes using fetch w proxies
running this for 3 products costs roughly $1.50 a day if i price-check every 15 minutes.
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Muse Spark 1.3 from @Meta tops the charts in our Browser Agent benchmarks using the @mastra agent harness.
In this harness, Muse outperforms Opus 5 in cost, speed, and accuracy.
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Introducing our Browser Agent Evals.
We benchmark frontier and open models using various harnesses on computer-use tasks.
Our evals are fully open source and reproducible via our Evals CLI.
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We just made Astra's computer use 2.5x faster with Stagehand.
Astra works by executing code against the a11y tree, we built a translator that turns Astra's playwright commands into @Stagehanddev.
Astra chose to batch the entire logo into one command and one-shotted it.
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The Browserbase dashboard got a makeover.
In the last few months we've shipped a ton of new features and improved our dashboard's UI. Here are some of our favorites.
Google's response to Fable 5.1 is another flash model with Gemini 3.8 flash.
It landed an 83.33% accuracy on our browser agent evals, while being the cheapest model by wide margin at $0.07 per task.
They haven't launched a benchmark-topping model since February, and seems like they're more focused on real-life applications and price to performance.
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WebMCP is a game changer for browser agents
I built a skill that adds WebMCP support to any codebase - in this demo, I turned Excalidraw into an agent-native experience in a few minutes
then I used @Stagehanddev to control the canvas and draw anything. works on any open-source codebase
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We got early access to Fable 5.1 and evaluated it extensively across our internal benchmarks.
It outperformed all other frontier models (including Fable 5) on accuracy scoring 92.11%, while being 60% cheaper than Fable 5 per task.
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You can build WebMCP compatible agents with Stagehand!
If your project is using @browserbase, shoot me a DM and I'll get you some credits.
Excited to announce we've been recognized as a 2026 IA40 winner for the second year in a row.
The IA40 recognizes the 40 most important private companies in applied AI. Thank you, Madrona, AWS Startups, Microsoft, Google for Startups, NYSE, Delta Air Lines, and McKinsey & Company for the recognition.
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Agents need their own identity to do real work on the web. We partnered with @tryramp to automate our event logistics workflow.
Our agent logs into sites with a Browserbase Context, downloads receipts, and submits them via the Ramp CLI.
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FYI: Stagehand supports WebMCP as a first-class primitive. just call 𝚙𝚊𝚐𝚎.𝚝𝚘𝚘𝚕𝚜() in your agent!
happy hacking :)
Create agent-ready web apps for the WebMCP Challenge →
We're excited to see ChatGPT supporting WebMCP, the experimental standard that lets users and AI agents navigate websites together. In the @OpenAIDevs WebMCP Challenge you can experiment with it and win prizes. Plus, Chrome's @sarah_edo is on the judging panel! What will you create?
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