Bitfolk vs Stilops

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

Bitfolk compared with Stilops
Detail	Bitfolk	Stilops
What it does	AI agent orchestration platform for coordinating multiple AI agents toward shared goals	AI agents for specific business functions that rehearse tasks as test runs before execution
Stage	Not given	Not given
Founded	Not given	Not given
Based in	Not given	DE
Pricing model	Freemium	Paid
Pricing	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	Roles range from € 99 to € 499 per month excluding VAT, with included monthly tasks varying by role: Administrative Assistant and Association Secretary at € 99/mo (40-45 tasks); Secretary at € 109/mo (50 tasks); Process Documentation and Planner at € 129/mo (15-40 tasks); Customer Service at € 229/m
Key features	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	Pre-built roles from a catalogue (31 roles) Fingerprint verification on approval (SHA-256) Full audit trail of proposals, test runs and approvals Integration with 12+ pre-connected services Custom REST API and MCP server connections Servers in Germany within EU AI Act compliance file (limited risk classification)
What makes it different	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	Test runs show actual outcomes with no side effects before real execution No automatic approvals—every proposal requires explicit human approval Approved test run and execution count together as one task, not two Declined proposals are free and don't count against quota
Community votes	0	0
DR (Domain Rating by Ahrefs)	Not checked yet no change since last check	Not checked yet no change since last check
Trust Flow (Majestic)	0	0
Citation Flow (Majestic)	0	0
Referring domains (Majestic)	0	0

5 details filled in for both companies.

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