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Savyly vs Taurus

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

Savyly compared with Taurus
DetailSavyly logo SavylyTaurus logo Taurus
What it doesPrivate AI assistant for Mac and Windows that floats over any app, reads your screen and answers in seconds Lead armies of AI agents sanely
StageStartup Not given
Founded2026 Not given
Based inIN Not given
Pricing modelFree trial Freemium
PricingFree trial: 15 minutes with all features including Deep. Until 8 November 2026 (Diwali offer): Spark ₹99 for 1 hour, Focus ₹199 for 3 hours, Sprint ₹499 for unlimited 7 days, Marathon ₹999 for unlimited 30 days. After 8 November: ₹199, ₹499, ₹999 and ₹2,999 respectively. All prices include taxes, pa 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
  • Interview practice with HR, technical, coding and system design modes
  • Reads and answers questions from your screen
  • Deep mode for expert-level thinking on complex problems
  • Floats over any application without appearing on screen
  • 11 ready-made modes or custom prompts
  • Works with resume and job description for interview prep
  • 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
  • Interview practice modes including DSA, technical, HR and system design with feedback
  • 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)1 +1 (up) since last check31 no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)1430
Referring domains (Majestic)1115

5 details filled in for both companies.

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