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Taurus vs Agentboxd

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 Agentboxd
DetailTaurus logo TaurusAgentboxd logo Agentboxd
What it doesLead armies of AI agents sanely Real email inboxes for AI agents with API, webhooks, and AI triage
StageNot given MVP
FoundedNot given Not given
Based inNot given GB
Pricing modelFreemium Free
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 Free during public beta. Planned after beta: Builder $15/month, Team $60/month, Scale custom. Builder includes 25,000 emails/month, 100 inboxes, 25,000 AI triage calls/month. Team includes 150,000 emails/month, 1,000 inboxes, 150,000 AI triage calls/month. Overage pricing: $1 per 1,000 emails, $0.50
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
  • AI triage on every email with category, phishing, injection, and urgency scoring
  • Inboxes with one API call on shared or custom domains
  • Drafts with human approval before sending
  • DKIM-signed sending with threaded replies
  • Webhooks with HMAC-SHA256 signature verification
  • Full-text search and long-poll wait endpoints
  • Text extraction from attachments including OCR
  • Sign in with Agentboxd for AI agent authentication
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
  • AI processing is optional with privacy switch
Community votes00
DR (Domain Rating by Ahrefs)31 no change since last check21 +4 (up) since last check
Trust Flow (Majestic)05
Citation Flow (Majestic)3031
Referring domains (Majestic)11555

5 details filled in for both companies.

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