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Gumloop vs Taurus

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Gumloop compared with Taurus
DetailGumloop logo GumloopTaurus logo Taurus
What it doesThe multiplayer AI agent builder Lead armies of AI agents sanely
StageNot given Not given
FoundedNot given Not given
Based inUS Not given
Pricing modelFreemium Freemium
PricingFree 14-day trial. Pro plan starts at $37/month with 20,000 monthly credits. Enterprise plan available with custom pricing. Free: $0 with 10 agents, 2 parallel runs, 2 GB storage. Start: $20/month with 100 agents, 5 parallel runs, 10 GB storage. Plus: $50/month with 300 agents, 12 parallel runs, 50 GB storage. Pro: $200/month with 1000 agents, 30 parallel runs, 250 GB storage. On paid plans, model usage billed at true pr
Key features
  • Browser automation with real browser execution
  • Over 300 native integrations
  • Support for any AI model including frontier and open-source
  • Session recordings with audit logs
  • Human-in-the-loop with secure handoffs
  • Password vault for credential management
  • CAPTCHA handling
  • Agent self-improvement through reflection
  • Detailed spend analytics per model and agent
  • Role-based access control and governance
  • Hierarchical agent trees with parent-child delegation and coordination
  • Container-isolated agent environments with Linux shell and persistent filesystem
  • Persistent agent memory and context between runs
  • Cron-based scheduled execution with overlap handling
  • Shared /shared folder for cross-agent file collaboration
  • Support for 30+ AI models from multiple providers
  • Web IDE with terminal access and five editor themes
  • Static site dashboards built and maintained by agents
  • Voice input and file attachment support
What makes it different
  • Anyone can build agents without coding, not just technical teams
  • Full observability and control over AI spend with credit-based billing
  • Agents run in real browser with full web access and integration capabilities
  • Enterprise-grade security with VPC deployment and data ownership
  • Agentic tree structure where agents collaborate and share context unlike stateless tools
  • Fully isolated Linux containers for each agent with persistent filesystems
  • Persistent memory and context continuity across scheduled runs
  • Mix and match 30+ AI models freely within the same team
  • Pricing per fleet rather than per seat or per token overage
Community votes00
DR (Domain Rating by Ahrefs)75 no change since last check31 no change since last check
Trust Flow (Majestic)190
Citation Flow (Majestic)4930
Referring domains (Majestic)4273115

5 details filled in for both companies.

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