Minded vs Taurus

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

Minded compared with Taurus
Detail	Minded	Taurus
What it does	The AI Agent that finds its own work and gets it done	Lead armies of AI agents sanely
Stage	Not given	Not given
Founded	2023	Not given
Based in	Not given	Not given
Pricing model	Freemium	Freemium
Pricing	Starter: $9.99 to start with 5,000 credits. Pro: $50/month for 5,000 credits, with options from $20/month (2,000 credits) to $2,000/month (200,000 credits). Business: $1,500/month for 150,000 credits, with options up to $10,000/month (1,000,000 credits). 1 credit = 1¢ of finished work. Monthly credi	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	Records and learns tasks from single demonstration Integrates with 3000+ tools Identifies work automatically in email, chat and browser Credit-based pricing with cost visibility SOC 2 Type II and GDPR certified Vetted human expert escalation on Pro plans Recurring and scheduled task automation Shared workspaces and team roles Optimizes AI model selection for cost efficiency	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	Finds work autonomously instead of requiring briefs or backlogs Learns from watching users perform tasks once Delivers work in company voice and standards without prompting Pay-per-task pricing instead of per-seat or token-based costs Works across entire workflow without manual reassignment between tools	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 votes	0	0
DR (Domain Rating by Ahrefs)	30 +1 (up) since last check	31 no change since last check
Trust Flow (Majestic)	12	0
Citation Flow (Majestic)	36	30
Referring domains (Majestic)	318	115

5 details filled in for both companies.

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