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Knotr vs WBX Sandbox

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

Knotr compared with WBX Sandbox
Detail Knotr WBX Sandbox
What it doesYour voice and skills in every AI tool you use Secure execution for AI agents in isolated Firecracker microVMs or WebAssembly
StageStartup Not given
FoundedNot given Not given
Based inUS CZ
Pricing modelFreemium Not given
PricingFree: 1 Profile, 10 Skills, 50 Documents, 10 Artifacts, 1 Style Guide from Starter Pack, 100 Hosted Chat AI credits/month. Pro: $24/mo or $20/mo billed annually, 5 Profiles, 75 Skills, 500 Documents, 75 Artifacts, 1 Style Guide, 1,000 Hosted Chat AI credits/month. Max: $49/mo or $40/mo billed annual Free plan: no card required, 5 concurrent sandboxes, up to 1 hour per sandbox, one-time welcome credit. Pro: $49.00/month (excl. VAT) with $25.00 usage credit, 25 concurrent sandboxes, up to 24 hours per sandbox, 100 vCPU/100 GB RAM total. Team: $119.00/month (excl. VAT) with $50.00 usage credit, 10
Key features
  • Profiles to define voice, tone, and judgment
  • Style Guides to enforce writing rules
  • Knowledgebases to store trusted documents and notes
  • Skills to package repeatable workflows
  • Artifacts for versioned, shareable outputs
  • Hosted Chat with custom runtime
  • MCP integration with external tools
  • Team workspaces with shared knowledge
  • Skill Catalog for discovery and import
  • Collections to group and present artifacts
  • Isolated Firecracker microVMs with own kernel and filesystem
  • Background jobs that survive disconnects
  • Batch execution with up to 1,000 jobs and dependency passing
  • WebAssembly jobs starting in milliseconds without VM boot
  • Budget Guard with cost reserves and limits
  • Execution receipts with runtime, isolation, resources and file hashes
  • Native MCP server integration for ChatGPT and Claude
  • Compact log digests instead of full 5,000-line logs
  • Server-side job waiting with signed webhooks
  • Verified package cache for PyPI, npm, Go and Rust
What makes it different
  • Output sounds like you, not generic AI, because every tool reads the same profiles and style guides
  • Stop re-uploading docs and rewriting instructions for each new tool
  • Individual voice, shared standards on teams
  • Built-in changelogs instead of Git for managing skills
  • Works with any MCP-compatible AI client without vendor lock-in
  • Two runtimes with honest isolation labeling
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)2 no change since last check2 no change since last check
Trust Flow (Majestic)40
Citation Flow (Majestic)250
Referring domains (Majestic)270

5 details filled in for both companies.

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