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AgentShelf vs Bitfolk

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

AgentShelf compared with Bitfolk
DetailAgentShelf logo AgentShelfBitfolk logo Bitfolk
What it doesAI operations platform for building, deploying, and governing specialized business agents without code AI agent orchestration platform for coordinating multiple AI agents toward shared goals
StageNot given Not given
FoundedNot given Not given
Based inUS Not given
Pricing modelNot given Freemium
PricingNot given 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
  • No-code agent builder
  • Approved context and tools
  • Usage and cost governance
  • Website, workspace, and API deployment
  • Shared workflow library
  • AI Front Desk for websites
  • Public and private workspace boundaries
  • 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
  • Complete workspace keeps agent instructions, context, tools, and controls together instead of scattered across platforms
  • Cost governance before AI spend becomes uncontrolled operating expense
  • Reusable agent patterns and workflows avoid rebuilding for every use case
  • Separates agent builders from operators so teams can create and control independently
  • Non-developers can build and manage agents without technical expertise
  • 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)17 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)20
Citation Flow (Majestic)210
Referring domains (Majestic)200

3 details filled in for both companies.

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