Clark

Clark drives a real browser instead of scraping static HTML. It opens pages, follows links, fills fields, and reads what is on screen the way a person would. This is what separates it from a summarizer that only reads a URL you paste in. The catch is that login walls and permission prompts can stop a run partway.

Runs happen in sandboxed environments where Clark writes and executes code to process data or build files. A scrape that returns messy text can be parsed and saved as a clean table without you touching a terminal. Because the code runs in isolation, a bad script is less likely to affect your own machine.

The output is a file you can open, not a wall of chat text. That matters when the result feeds a real decision or a document someone else will read. You can also see where a run stopped, which makes it easier to judge whether the work is actually done.

Clark Chat covers research, documents, and everyday tasks in a browser, with no install. It is the fastest way to see whether the agent approach fits your work before committing to an API integration. Sign-in works through Apple or Google.

Managed Agents puts the same capabilities behind an API so you can bring agent runs into your own product. This is the path for teams that want browser and file actions inside their own interface. Access and pricing for it are handled separately from the consumer app.

Clark Code and the related repo-memory product target coding work, where the agent keeps context across a codebase rather than starting fresh each time. It suits developers who already use agentic coding tools and want the same pattern for research and browser tasks.

You can set a task to run again rather than retyping instructions each time. Weekly reports and fixed data pulls are the obvious fits. When a scheduled run stalls, the run history shows what it did and where it stopped, so you can fix the blocked step.