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Taurus vs Super Agent

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

Taurus compared with Super Agent
DetailTaurus logo TaurusSuper Agent logo Super Agent
What it doesLead armies of AI agents sanely One always-on agent for all your computers
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Freemium
PricingFree: $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 Free: manage worker agents on your own computers. Pro: $14.90/mo adds Super-Agent personal assistant that runs 24/7.
Key features
  • 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
  • Connect multiple computers with one command and manage all bots from a single workspace
  • Run multiple tasks simultaneously across different projects
  • Send messages mid-task without waiting for one job to finish
  • Approve or reject edits and commands remotely from any browser or phone
  • Access the same workspace from any device—laptop, phone or tablet
  • Stop any task instantly from any device
  • Code stays on your own computers, only conversations sync online
What makes it different
  • 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
  • Runs AI agents on your own machines, not in the cloud—code never leaves your computer
  • One always-on workspace for multiple AI workers and projects instead of juggling separate sessions
  • Works behind firewalls and home routers without opening ports or changing network settings
  • Connector is open source under MIT license so you can audit the code before installing
Community votes00
DR (Domain Rating by Ahrefs)31 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)3010
Referring domains (Majestic)1152

5 details filled in for both companies.

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