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Ara supports browser-native agents, not only API-search agents.

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Execution model

Browser tasks run inside your runtime context and can be invoked through:
  • Runtime browser tools
  • Cloud browser-related routes/proxies
  • Delegated subagents focused on UI workflows

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Core capabilities

  • Navigate and wait for dynamic content
  • Click, type, select, and submit forms
  • Read page content and extract structured data
  • Capture screenshots and visual state
  • Continue multi-step sessions with local cookies/session context

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Typical workflows

  1. Lead generation research
  2. Form completion automation
  3. Competitive tracking and periodic checks
  4. Support/debug reproduction with screenshot evidence

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Browser + skills pattern

A high-leverage pattern is:
  1. Run a browser flow manually once
  2. Capture it as a reusable skill
  3. Let the agent call that skill for future runs
  4. Refine skill instructions when pages change
This is where browser automation meets recursive learning.

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Safety boundaries

  • Browser actions run in user sandbox context
  • Tool policies can constrain execution behavior
  • Credentials stay scoped to the user runtime
  • Access is mediated by authenticated cloud session routes

Skills

Turn browser routines into reusable automation skills.

Learning loop

Improve browser behavior over time through memory and iteration.