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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

Fellou AI Browser logo
Fellou AI Browser
✓ verifiedFreemium

Agentic AI browser that plans and executes cross-app web tasks and deep research from a prompt; for automating online grunt work.

60K visits/mo
Tabbit logo
Tabbit
✓ verifiedPaid

AI-native desktop browser that lets users chat with page context and run pre-built 'skills' to automate research, notes and content tasks.

861K visits/mo
Gologin Cloud Browser logo
Gologin Cloud Browser
✓ verifiedPaid

Serverless cloud browser API with persistent sessions, built-in stealth and proxies, for AI agents, automation and scraping.

655K visits/mo
Pricing

No public pricing

No public pricing

Professional: $24/mo billed annually (100 profiles)
Business: $49/mo billed annually (300 profiles)
Enterprise: $99/mo billed annually (1000 profiles)
Custom: $149/mo billed annually (2000+ profiles)

Free trial available

Core features
  • Agentic 'deep action' web task automation
  • Multi-source deep research with cited reports
  • Cross-app workflows (Notion, LinkedIn, Reddit, etc.)
  • Handles logins and CAPTCHAs
  • Agentic memory from history and notes
  • Task scheduling and the open-source Eko framework
  • Context-aware AI chat that reads tabs, files and screenshots
  • Library of thousands of site-specific automation skills
  • Multi-agent roles (research, operator, writer, analyst)
  • Access to multiple top AI models in one browser
  • Ability to turn recurring prompts into reusable custom skills
  • Local-first storage of highlights, chats and saved pages
  • Serverless cloud Chromium browsers
  • Persistent logged-in sessions
  • Built-in stealth / anti-detect fingerprinting
  • Residential & datacenter proxies in 150+ countries
  • Playwright/Puppeteer WebSocket connection
  • Headful mode for live inspection
Use cases
  • Automating repetitive web workflows
  • Compiling research reports from many sources
  • Cross-platform data gathering
  • Scheduling recurring digital tasks
  • Researchers summarizing papers and academic feeds
  • Developers getting AI explanations of pull requests and diffs
  • Content creators extracting highlights from long videos or podcasts
  • Knowledge workers organizing and searching chat history and saved pages
  • Running AI browser agents
  • Web scraping at scale
  • Automating logged-in workflows
  • Debugging automation in live sessions
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