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Boost.space vs Taurus

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

Boost.space compared with Taurus
DetailBoost.space logo Boost.spaceTaurus logo Taurus
What it doesAI agents for product catalog revenue and business automation Lead armies of AI agents sanely
StageNot given Not given
Founded2022 Not given
Based inCZ Not given
Pricing modelPaid Freemium
PricingBob Agent Launch: $2,500 one-time (excluding VAT), includes up to 8 hours of expert work and first month of Agent OS. Custom Agent Launch: $5,000 one-time (excluding VAT), includes up to 16 hours of expert work and first month of Agent OS. Agent OS plans: Standard at $300 per month when paid annuall 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
  • Access to 9B+ commerce records for product research
  • 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
  • One-time agent purchase with no subscription lock-in for the delivered agent
  • Prove ROI in 4 weeks before committing to ongoing services
  • Delivered agent remains yours with its training, memory and custom skills
  • Reuse agent context and skills across multiple roles without starting from zero
  • Transparent pricing with confirmed costs before purchase
  • 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)62 +1 (up) since last check31 no change since last check
Trust Flow (Majestic)180
Citation Flow (Majestic)4030
Referring domains (Majestic)647115

5 details filled in for both companies.

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