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Taurus vs Stilops

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 Stilops
DetailTaurus logo TaurusStilops logo Stilops
What it doesLead armies of AI agents sanely AI agents for specific business functions that rehearse tasks as test runs before execution
StageNot given Not given
FoundedNot given Not given
Based inNot given DE
Pricing modelFreemium Paid
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 Roles range from € 99 to € 499 per month excluding VAT, with included monthly tasks varying by role: Administrative Assistant and Association Secretary at € 99/mo (40-45 tasks); Secretary at € 109/mo (50 tasks); Process Documentation and Planner at € 129/mo (15-40 tasks); Customer Service at € 229/m
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
  • Pre-built roles from a catalogue (31 roles)
  • Fingerprint verification on approval (SHA-256)
  • Full audit trail of proposals, test runs and approvals
  • Integration with 12+ pre-connected services
  • Custom REST API and MCP server connections
  • Servers in Germany within EU
  • AI Act compliance file (limited risk classification)
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
  • Test runs show actual outcomes with no side effects before real execution
  • No automatic approvals—every proposal requires explicit human approval
  • Approved test run and execution count together as one task, not two
  • Declined proposals are free and don't count against quota
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)300
Referring domains (Majestic)1150

5 details filled in for both companies.

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