Knotr vs Harny

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 Harny
Detail	Knotr	Harny
What it does	Your voice and skills in every AI tool you use	Agent harness infrastructure that gives AI agents memory for each user, connected accounts, action limits and an audit record.
Stage	Startup	Not given
Founded	Not given	Not given
Based in	US	CA
Pricing model	Freemium	Freemium
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	Free: first 500 monthly-active end users per month, free forever. Paid: $0.30 per monthly-active end user above 500, billed monthly.
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	Timestamped memory ingestion with backdating capability Per-user data isolation and privacy scoping Ranked memory recall with dated evidence Connected accounts integration per user Long-running agent jobs with folder-level operations Configurable token ceiling per API call Enforced action limits on agent operations Complete action audit trail with hash chaining MCP server integration for Claude and other clients
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	Highest published BEAM benchmark score at 128K tokens: 85.1, compared to competing memory systems 98% fewer tokens required than raw tool output, making responses 4× cheaper Works with 20+ agent frameworks including LangChain, LangGraph and LlamaIndex First 500 monthly-active end users free forever Per-person billing model scales with user growth, not API calls
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	1

6 details filled in for both companies.

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