Knotr vs boxd

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 boxd
Detail	Knotr	boxd
What it does	Your voice and skills in every AI tool you use	Composable computers for devs and agents
Stage	Startup	Not given
Founded	Not given	Not given
Based in	US	NL
Pricing model	Freemium	Not given
Pricing	Free: 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	Credit-based pricing: €0.039 per vCPU-hour (active only), €0.012 per GiB-hour for RAM (memory in use), €0.00008 per GiB-hour for disk (written space only). New accounts receive €30 in free credits. A typical 2 vCPU / 8 GiB machine costs approximately €0.03 per hour while running (with 10% vCPU activ
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	Hardware-isolated Linux VMs with persistent state between sessions Snapshots and checkpoints for machine state management Automatic hibernation after 4 hours idle, paying for disk only Pre-installed tools: Claude Code, Docker, Node, Python, Go, git, Chrome, ffmpeg, nginx Public HTTPS URL per machine with custom domain support Egress allowlist for network security and isolation CLI, API, Python and TypeScript SDKs for automation Integration with GitHub, Linear and Slack across all machines
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	Hardware-isolated real VMs instead of containers, with full kernel isolation Persistent machines remember running processes and state between disconnects Pay only for active resources used, not provisioned size Free self-hosting up to 16 vCPUs on your own infrastructure
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	2 no change since last check	44 no change since last check
Trust Flow (Majestic)	4	8
Citation Flow (Majestic)	25	37
Referring domains (Majestic)	27	151

5 details filled in for both companies.

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