Construct Computer vs Taurus

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

Construct Computer compared with Taurus
Detail	Construct Computer	Taurus
What it does	AI agents for startups and small teams that handle research, outreach, ops and reporting	Lead armies of AI agents sanely
Stage	Startup	Not given
Founded	2026	Not given
Based in	Not given	Not given
Pricing model	Freemium	Freemium
Pricing	Lite: $9/month (or $7.50/month annual). Starter: $59/month (or $39/month annual). Pro: $299/month (or $199/month annual, $2,388/year). Enterprise: custom pricing. Annual plans include 4 months free (Starter and Pro) or 2 months free (Lite). 7-day free trial on Pro.	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	Persistent cloud workspace with files, memory, and schedules 200+ app integrations including Gmail, Slack, Notion, Linear, Jira, GitHub Research and cited reports Email reading and sending Workflow automation and scheduling Activity log tracking all agent actions Web browser and terminal access Memory inspection and correction Team collaboration with workspaces Custom MCP servers and internal tools	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	Persistent workspace that survives across sessions User owns all data and agent outputs Works across multiple channels including email, Slack, Discord Partial work saved if job fails	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)	41 −1 (down) since last check	31 no change since last check
Trust Flow (Majestic)	10	0
Citation Flow (Majestic)	34	30
Referring domains (Majestic)	165	115

5 details filled in for both companies.

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