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Knotr vs Argentic

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 Argentic
Detail KnotrArgentic logo Argentic
What it doesYour voice and skills in every AI tool you use An engine for long-running agents that rebuilds its prompt under a cap and runs on your budget
StageStartup MVP
FoundedNot given Not given
Based inUS Not given
Pricing modelFreemium Freemium
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 Prototype: free during beta, then from December 16, 2026 it costs $1 per 1,000 agent calls after 1,000 monthly included calls. Production: $20 a month with 20,000 agent calls included, then $1 per 1,000 calls after that. Top-ups: $1 per 1,000 calls, from $10 to $500 at a time, never expiring.
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
  • Prompt rebuilt from journal under token cap at each step to keep it bounded as history grows
  • Spending limits checked before each model call at token prices you declare
  • Resume after crash without repeating finished actions
  • Tool calls returned as actions for your code to carry out
  • Proof of what ran: check prompts, re-run engine, download hash-chained journal
  • Integrations with Vercel AI SDK, OpenAI Agents SDK, LangGraph, Mastra, Pydantic AI
  • MCP server for Claude Code, Claude Projects and Codex
  • Works with any model via bring-your-own-key
  • TypeScript and Python clients for HTTP API access
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
  • Bounded prompt under a fixed cap while history grows, so costs per call stop climbing on long sessions
  • Every run recorded with cryptographic proof: rebuilable prompts, hash-chained journal, re-runnable engine
  • Resumes from crash without repeating finished actions using stable idempotency keys
  • Budget enforcement before each model call, not reactive overage billing
  • No model key storage or logging; your provider bills you directly
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 checkNot checked yet no change since last check
Trust Flow (Majestic)40
Citation Flow (Majestic)259
Referring domains (Majestic)274

6 details filled in for both companies.

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