Knotr vs Threadless AI

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 Threadless AI
Detail	Knotr	Threadless AI
What it does	Your voice and skills in every AI tool you use	Hosted memory for AI agents that forgets like people do
Stage	Startup	Not given
Founded	Not given	Not given
Based in	US	Not given
Pricing model	Freemium	Free trial
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	Two meters: user turns (per user turn) and stored memory (per GB-month). Pricing to be announced. Free tier with monthly allowance of turns and memories.
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	Conversation episodes with automatic cutting and concept-based organization Activation fading by square root of time with significance tracking Automatic fact extraction and indexing for recall Recall system that surfaces relevant past facts when needed Sleep function that fades context after 24+ hours of silence Fallback to local tail when service is unreachable
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	Forgets like people do with fading by time, not truncation Your model, your key, your loop; service only holds history Facts kept permanently even as episodes fade from view Decorate, submit, report: only three lines of integration Human-inspired memory mechanism based on cognitive science
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	Not checked yet no change since last check
Trust Flow (Majestic)	4	0
Citation Flow (Majestic)	25	0
Referring domains (Majestic)	27	0

5 details filled in for both companies.

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