Dari: The Automation Platform That Finally Makes Browser Agents Reliable
Browser automation has long promised efficiency — but in reality, it has often delivered frustration. Traditional browser-use agents struggle with reliability, speed, and authentication issues. Workflows break unexpectedly, authenticated sessions time out, and AI-driven automations consume excessive resources. Businesses trying to scale repetitive browser tasks face a fundamental limitation: automation tools designed for experiments, not production.
Dari was founded to change that. Built as the first browser automation platform reliable enough for real-world, production-level use, Dari transforms how teams automate web workflows. Its intelligent caching, automatic two-factor authentication handling, and deterministic replay of workflows set a new benchmark for reliability and performance.
While others rely on AI calls for every task, Dari minimizes model dependency — calling LLMs only when truly needed. This shift creates faster, cheaper, and more stable automation across thousands of browser actions.
How Does Dari Handle Two-Factor Authentication Where Others Fail?
One of the biggest hurdles in automating web workflows is two-factor authentication (2FA). Most automation tools stop dead when a login requires a verification code, breaking workflows entirely. Dari recognized that no platform could truly claim “production reliability” without mastering 2FA — so it built a system to handle it seamlessly.
Dari’s universal 2FA support automatically manages:
- Text message codes (SMS-based authentication)
- TOTP authenticators (like Google Authenticator)
- Email verification flows
This means authenticated workflows — such as accessing dashboards, performing account actions, or fetching internal data — can now run continuously without manual intervention. Dari’s automation engine can log in, verify, and continue the task, all without human input.
In short, Dari doesn’t just “handle” 2FA — it automates it intelligently, enabling businesses to automate tasks previously considered impossible.
What Makes Dari’s Intelligent Caching a Game-Changer?
Typical browser-use agents rebuild workflows from scratch on every run. They re-query the LLM, re-identify page elements, and reprocess the entire automation pipeline. This makes them slow, costly, and prone to failure when websites change even slightly.
Dari’s solution is intelligent caching — a technology that captures and stores successful workflows for deterministic replay. Here’s how it works:
- Run once, cache forever: After a workflow runs successfully, Dari saves the DOM-level actions so they can be replayed directly.
- Adaptive fallback: If a website’s layout changes, Dari automatically detects differences, revalidates the steps, and re-caches the updated path.
- AI on demand: Dari only uses LLM calls when a major change occurs — reducing API calls, latency, and cost.
This system makes automation not only faster but also remarkably stable. A workflow that once failed intermittently can now run daily, with near-perfect reliability. For businesses, this means predictable performance — and peace of mind.
How Is Dari Designed for Developers?
Dari is more than a tool for non-technical users — it’s a developer-first automation platform. Its architecture reflects a deep understanding of what engineers need to integrate automation into modern production stacks.
Developers can:
- Describe workflows in natural language: Simply chat with Dari in plain English, and it generates a functional automation.
- Trigger workflows via API: Use a
POST
request to start automations programmatically, allowing easy integration with backend systems. - Use webhooks and waits: Dari can pause mid-workflow, execute external code through a webhook, and resume once your backend responds.
This combination of natural language simplicity and API-first design bridges the gap between accessibility and power. Teams can rapidly prototype and deploy browser automations — whether for internal tools, data scraping, or SaaS integrations — without rewriting the same brittle scripts again and again.
What Real-World Impact Has Dari Already Achieved?
Even in its early stages, Dari has demonstrated measurable impact across industries.
One standout example is a voice AI company that used Dari to automate data entry and form-filling workflows — repetitive yet critical tasks that previously consumed over 10 hours each week. By caching workflows and handling authentication, Dari eliminated errors and saved valuable engineering time.
Beyond this, Dari’s technology opens the door for countless use cases:
- E-commerce: Automate order management and supplier portals.
- Fintech: Streamline account reconciliations and authenticated data pulls.
- HR & Operations: Manage web-based forms, job postings, and data aggregation.
- Productivity tools: Connect browser workflows directly with internal apps or CRMs.
Everywhere repetitive, browser-based interactions exist, Dari introduces a “set it and trust it” paradigm. Once built, workflows simply work — day after day, without manual babysitting.
Who Are the Minds Behind Dari?
Dari was co-founded by Benjamin Hong and Avyay Varadarajan, both graduates of Caltech’s Computer Science program and alumni of Amazon and Uber — two companies known for large-scale automation challenges. Their shared frustration with unreliable browser agents led them to create Dari.
Having experimented with browser-use agents since the earliest LLM releases, they experienced firsthand how brittle and unpredictable traditional automations could be. They saw that despite advances in AI, no system could guarantee consistent browser behavior at scale. Dari was their response: a platform that blends AI intelligence with engineering precision to bring true reliability to automation.
Their backgrounds give them a unique perspective — balancing research-level AI understanding with production-grade software engineering. This fusion defines Dari’s core philosophy: make browser automation work not just in demos, but in production environments.
Why Is Dari Positioned to Redefine Browser Automation?
The browser automation space is evolving rapidly, but most solutions still treat automation as a best-effort task rather than a guaranteed process. Dari represents the next step — a production-ready automation platform that delivers reliability, security, and scalability.
Its differentiators are clear:
- AI efficiency: Calls models only when workflows change.
- Resilience: Automatically adapts to front-end updates.
- Security: Handles 2FA and authenticated sessions safely.
- Speed: Executes cached workflows instantly, without reprocessing.
This approach transforms browser automation from an experimental tool into a core business capability. Teams can now rely on automations that behave deterministically, reducing human oversight and operational risk.
For developers, this means confidence. For businesses, it means scalability. For the industry, it means browser automation is finally stepping into its production era.
What’s Next for Dari?
As a Fall 2025 Y Combinator startup, Dari is still in its early growth stage, but its vision is ambitious. The team aims to expand the platform’s capabilities, supporting even more authentication methods, browser environments, and integration options.
Future developments are expected to include:
- Enhanced developer SDKs for seamless integration with popular stacks.
- Advanced analytics to monitor workflow health and performance.
- Multi-agent orchestration, allowing teams to coordinate multiple browser agents for complex workflows.
Dari’s mission remains clear: to make browser automation as reliable and natural as running a script. With growing traction among enterprise users and developers, the company is on track to become the go-to infrastructure for browser automation in the AI era.
How Does Dari Represent the Future of AI-Driven Automation?
Dari sits at the intersection of AI, software engineering, and human productivity. By combining natural language prompting with deterministic caching and authentication handling, it embodies a new philosophy: automation that just works.
Instead of endlessly debugging scripts or re-recording workflows, teams can focus on outcomes — confident that Dari will handle the details. This represents not just an improvement in tooling, but a shift in mindset: automation as a dependable partner, not a fragile experiment.
In the broader context of AI infrastructure, Dari’s innovation signals a transition toward agentic automation systems — where reliability and adaptability coexist. And in doing so, it may very well define the next generation of browser-based automation technology.