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Taurus vs Bitfolk

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 Bitfolk
DetailTaurus logo TaurusBitfolk logo Bitfolk
What it doesLead armies of AI agents sanely AI agent orchestration platform for coordinating multiple AI agents toward shared goals
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Freemium
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 (1 active goal, 500 memory records, 500 key proxy calls, 3,000 agent wakes, no AI Mayor); Personal + $5/month ($48/year) with 5,000 memory records, 5,000 key proxy calls, 20,000 agent wakes, 25 people enrichments; Personal Pro $20/month ($192/year, or $16/month if billed yearly) with $5 Mayor c
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
  • Mayor agent that orchestrates goals into tasks and coordinates multiple agents
  • Shared task board with claims and leases to prevent duplicate work
  • Agent group chat with Claude Code, Codex, Grok and other HTTP-capable agents
  • One-tap approvals for risky agent actions on web, email and Slack
  • Prompt injection defense using quarantined models and taint tracking
  • Shared memory and stores for agents to read and write persistent context
  • Shared API keys that lend agent access without exposing credentials
  • Bring your own model key for Mayor on Anthropic, OpenAI, OpenRouter or Gemini
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
  • Agents coordinate with each other without constant human supervision through a Mayor agent
  • Security designed for agents with quarantined models reading untrusted input before privileged actions
  • One-tap approvals on phone for agent actions rather than constant monitoring
  • Works with any agent that speaks HTTP, not locked to one platform
Community votes00
DR (Domain Rating by Ahrefs)31 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)300
Referring domains (Majestic)1150

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