February 2026 Summaries

Stagehand has introduced Action Caching to optimize repetitive web automation by storing resolved selectors for actions, significantly reducing reliance on large language models (LLMs) for identical tasks, which can result in performance improvements of up to 80%. This caching system works by validating that the current page matches a previously cached state with high confidence before executing an action, thereby bypassing costly and time-consuming LLM calls. The cache stores selectors and action configurations but excludes sensitive information, leveraging a DOM snapshot to create unique cache keys based on stable inputs and page fingerprints. While this approach enhances efficiency in workflows with repetitive tasks such as form-filling, it is less effective on pages with dynamic content or random URLs. Cache entries, valid for 48 hours, are scoped to specific projects and stored server-side, with the goal of safely expanding reuse across more requests over time.

Amplitude has transformed its sales demo process by integrating AI-powered browser automation and the open-source framework Stagehand, enabling the creation of custom demos tailored to individual enterprise prospects. This shift allows sales engineers to generate dynamic, full-platform demonstrations that showcase Amplitude's capabilities beyond basic analytics, including session replays, in-app guides, and web experiments. By leveraging AI tools to build realistic user journeys and inject custom logic, Amplitude provides prospective clients with a personalized view of how their product would function integrated with Amplitude. This innovation has led to significant impacts on their sales pipeline, with over 40 custom demos created and more than $10 million in influenced pipeline. The collaboration with Browserbase, praised for its quick responsiveness and strong customer support, has been central to this evolution, fostering a culture of trust and encouraging further expansion of demo capabilities. The next step involves developing a self-serve system for sales teams to independently generate custom demos, further enhancing the efficiency and impact of Amplitude's sales strategy.

AI browsers and web agents are facing increasing security challenges as they evolve from merely summarizing webpages to performing more complex actions, thus exposing themselves to potential cybersecurity threats such as prompt injection attacks. These attacks occur when untrusted content alters the behavior of language models, allowing malicious actors to manipulate AI agents into performing unauthorized tasks or exfiltrating sensitive user data. Although AI-powered browser vendors are aware of these vulnerabilities and have implemented measures to mitigate risks, the threat remains due to the vast and unpredictable nature of the web. To address these issues, companies like Browserbase are adopting a zero-trust security model that involves isolating browser sessions within dedicated virtual machines, thus containing potential damage and preventing lateral movement. This approach emphasizes secure infrastructure and deterministic automation as a means to limit the impact of successful attacks, acknowledging that while complete immunity is unattainable, effective containment strategies can significantly reduce risks.

Browserbase has been launched on the Vercel Marketplace, providing Vercel customers with the capability to run AI agents that interact with real, production-grade browsers via a single API key. This service allows agents to perform tasks beyond API calls, such as browsing the web, logging into dashboards, and interacting with dynamic web pages, without the need for running local browsers. The separation of browser processes from agent logic, facilitated through Vercel Sandbox and the AI Gateway, ensures reliable browser automation and improved session-level observability. A Web Bot Auth partnership with Vercel enhances this setup by enabling agents to be recognized as legitimate, reducing instances of bot detection issues and CAPTCHAs, thus allowing more efficient automation on real websites. This integrated solution offers Vercel customers a seamless way to manage authentication, provisioning, and billing directly within the Vercel Marketplace, making Browserbase a crucial tool for building production-ready web-interacting agents.

Browserbase has introduced Browserbase Functions to streamline browser automation by allowing users to deploy and run automation scripts, such as Stagehand or Playwright, directly within the Browserbase environment, eliminating the need for separate system maintenance. This integration simplifies operations for teams by reducing infrastructure complexity, lowering latency, and decreasing potential points of failure. Functions are specifically optimized for browser workloads, supporting real code execution, long-running tasks, and asynchronous invocation, with each function tied to a dedicated Browserbase session that returns structured results. Deployments are versioned to ensure safe testing without affecting production, and local development mirrors production behavior using real Browserbase sessions. Currently available for TypeScript, this new feature allows existing users to integrate current automations into Functions and offers newcomers a unified platform for both browser operations and code execution. For those interested in a deeper understanding, a comprehensive technical deep dive into the engineering behind Browserbase Functions is also available.

Browserbase was initially created to address the challenges of running browsers in production, particularly the complexities of hosting Chromium reliably. The platform allowed for hosted browser sessions, but users still faced difficulties managing the separate infrastructure needed for running automation scripts, which led to latency and fragility. In response, Browserbase developed Functions, an integrated solution for hosting the code that drives browser automation, treating it as a single system rather than separate components. The approach emphasizes versioning, allowing safe iterations without disrupting production traffic, and employs an infrastructure-as-code model to minimize environmental drift. By hosting both the browser and the automation code, Browserbase reduces latency, simplifies deployment, and aligns closely with the execution environment, enabling teams to focus on the functionality of their automation tasks without the burden of maintaining separate infrastructures.

Browserbase, in collaboration with Fingerprint, has launched Authorized AI Agent Detection, a system designed to establish trust and identity for AI agents on the web, as AI-driven automation becomes integral to online business operations. This initiative extends Browserbase's partnerships with Cloudflare, Stytch, and other bot protection platforms, enhancing agent identity as a fundamental web component. The collaboration allows Browserbase's AI agents, run in production-grade browsers, to be cryptographically identified, enabling businesses to permit trusted automation while blocking malicious activity. Fingerprint, a device intelligence platform, provides precise visitor identification by analyzing various signals, facilitating the authentication of authorized AI agents and moving towards identity-based access control. This partnership aims to create a shared infrastructure for an emerging agentic economy, promoting trust, transparency, and verification, allowing enterprises to safely integrate AI agents without risking security or revenue loss.