Gumloop is the multiplayer AI agent builder. Let anyone at your company build agents with any AI model, any integration while IT controls access.

gumloop.com
Gumloop homepage screenshot

About Gumloop

Gumloop is a web-based multiplayer AI agent builder for workplace use. It allows team members to build, share, and manage AI agents that work with any AI model and third-party integration, while IT retains control over access permissions. Agents operate via real browser sessions to complete web-based tasks such as CRM updates, prospect research, and form filling. The platform includes security features including masked credential storage, CAPTCHA resolution, human handoff for sensitive steps, and session audit logs.

Key features

  • Build custom AI agents using any AI model or integration
  • Operate agents via real browser sessions with saved logins
  • Access 300+ pre-built integrations for common workplace tools
  • Resolve CAPTCHAs and browse from trusted regional connections
  • Store credentials securely with masked password vault support
  • Enable human handoff for sensitive login or approval steps
Best for: Businesses that want to enable non-technical staff to build and manage workplace AI agents while retaining IT control over access and security.
Good for
  • Lets non-technical team members build agents without specialized training
  • Supports use of any AI model and third-party integration
  • Includes built-in security and audit features for workplace use
Watch out for
  • No open source version is available
  • Public pricing information is not provided

Gumloop at a glance

Type
Website
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Not stated
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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Gumloop FAQ

What web-based tasks can Gumloop agents complete?
Agents can perform any task a user can do on the web, including CRM updates, prospect research, form filling, and data retrieval from workplace tools, with or without an API.
How are login credentials stored and used by agents?
Credentials are stored in a masked password vault, or connected via 1Password, and agents never access raw credential values.
Can users intervene when an agent needs to complete a sensitive action?
Yes, agents can hand off the live browser session to a user for login or approval, then resume the task automatically after the user finishes.
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