Knotr AI is live · free plan, paid from $20/mo billed annually · last verified 8 Nov 2026 · viability healthy
Knotr AI
Knotr AI is a persistent knowledge layer that gives every MCP-connected AI tool your voice, standards, and knowledge.
If you bounce between Cursor, Claude, ChatGPT, and Gemini, Knotr attacks the re-explaining tax directly: one profile, one style guide, one skill library, read by all of them over MCP. Flat object limits rather than token metering is the right shape at $24/mo Pro, and the free tier is usable rather than a demo. Just know publishing into Confluence and Jira is labelled as upcoming, not shipped.
Verdict generatedVerified 5d ago · liveness 73/100 · cite: rightaichoice.com/tools/knotr-ai
- Power users juggling Cursor, Claude, ChatGPT, and Gemini who want one voice across all of them
- Small teams standardizing how AI writes and reasons without running a prompts Git repo
- Anyone repeatedly re-uploading the same documents and instructions into new AI sessions
- MCP power users who want profiles and skills exposed to external clients
- People who use one AI assistant and rarely change how they prompt it
- Teams running mature Git-based prompt libraries with CI and review gates they like
- Anyone needing on-prem deployment or raw direct API access to the knowledge layer
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Skip Knotr if your team already runs a mature Git-based prompt repo with CI and review gates you like, or you need on-prem deployment — Knotr is a hosted layer, not a repo replacement.
Hosted Chat AI credits are pooled per seat on Team, so one heavy user can drain the shared 1,000-credit balance before month end.
Free ($0) is genuinely usable for one person with one profile; Pro at $24/mo (or $20/mo billed annually) suits a solo power user across Cursor, Claude, and ChatGPT; Max at $49/mo (or $40/mo billed annually) unlocks unlimited profiles, skills, artifacts, and style guides for people who hit the object ceilings. Team at $25 per user/month with a 3-user minimum undercuts per-seat pricing for larger prompt-management or agent-instruction tools, but sits above simply sharing a Max seat.
In short
Knotr AI — Knotr AI is a persistent knowledge layer that gives every MCP-connected AI tool your voice, standards, and knowledge. Best for Power users juggling Cursor, Claude, ChatGPT, and Gemini who want one voice across all of them, Small teams standardizing how AI writes and reasons without running a prompts Git repo, Anyone repeatedly re-uploading the same documents and instructions into new AI sessions. Free to start; paid plans from $20/mo billed annually.
What is Knotr AI?
Knotr AI — Knotr AI is a persistent knowledge layer that gives every MCP-connected AI tool your voice, standards, and knowledge. Best for Power users juggling Cursor, Claude, ChatGPT, and Gemini who want one voice across all of them, Small teams standardizing how AI writes and reasons without running a prompts Git repo, Anyone repeatedly re-uploading the same documents and instructions into new AI sessions. Free to start; paid plans from $20/mo billed annually.
Knotr AI is a persistent knowledge layer for people who run several AI clients and are tired of re-teaching each one who they are. Profiles capture voice, tone, and judgment once; Style Guides turn prose standards into rules checked both inside Knotr and from connected AI tools; Knowledgebases hold documents and notes you trust. Sessions start from your material instead of a blank page. It travels over MCP. The same profile and skills show up in ChatGPT, Claude Desktop and the Claude API, Claude Code, Cursor, Gemini (via a custom Connected App), GitHub Copilot, Google Antigravity, Grok, Muse, Muse Code, OpenAI Codex, OpenCode, Perplexity, and Pi — with a plain MCP option for anything else compatible. Repeatable work becomes Skills, drawn from the public Skills Catalog, imported from GitHub marketplace repos of Claude-compatible plugins, or started from a dozen role-based packs covering software development, product, ops, sales, strategy, writing, creative, finance and legal, health, learning, home, and personal productivity. Anything worth keeping becomes an Artifact: a versioned output with a shareable link, created and kept in sync by your tools over MCP. Artifact Types enforce the same fields every time, and Collections order several for presentation. A Hosted Chat runtime (beta) runs Profiles, Skills, Knowledgebases, and Artifacts inside Knotr, with included AI credits on every plan. Pricing is flat and object-based rather than token-based: Free forever, Pro at $24/mo ($20/mo billed annually), Max at $49/mo ($40/mo annually), and Team at $25 per user/month with a 3-user minimum. MCP use from external tools doesn't draw down Hosted Chat credits. It sits between a prompt library bolted onto one assistant and an API-only context store, aimed at custom instruction management plus a shared team skill library.
Key features
- Profiles that give every AI tool a consistent voice, tone, and judgment
- Style Guides that turn prose standards into enforceable writing rules, checked in-app and over MCP
- Searchable Knowledgebases for trusted documents and notes
- Skills that package repeatable workflows with prompts and inputs
- Skill iteration with a built-in AI assistant before sharing with a team
- MCP connection to Cursor, Claude, Claude Code, ChatGPT, Gemini, GitHub Copilot, and more
- Artifacts: versioned AI and human output at a shareable link, created and synced over MCP
- Artifact Types that enforce the same fields every time
- Collections that group Artifacts for sequential presentation
- Hosted Chat runtime for Profiles, Skills, Knowledgebases, and Artifacts (beta)
- Included Hosted Chat AI credits on every plan, with no raw token billing
- Skills Catalog with public discovery and team listings
- GitHub marketplace import for Claude-compatible plugin repos
- Twelve role-based starter packs covering development, product, ops, sales, and more
- Changelogs for reviewing profile and skill changes instead of pull requests
Behind the verdict
The problem Knotr solves is real and annoying: every assistant you open starts from zero. Copy-pasting a system prompt gets you partway, then you're re-uploading the same PDF and re-explaining your tone in four browser tabs. Putting that foundation behind one MCP endpoint is the sensible fix, and it's the reason we'd point heavy multi-tool users here before a prompt manager. Where it earns its keep is the combination of voice and standards. Profiles cover who you are; Style Guides cover how your prose should behave, and get checked both in-app and from connected tools. That second check is the part most competitors skip — it's one thing to store instructions, another to flag when output drifts from them. Hosted Chat is still labelled beta, so treat it as convenience rather than a reason to buy. The real workflow is your existing clients pulling from Knotr over MCP. Watch the setup: Gemini needs a custom Connected App, and some clients want a remote server added by hand, which will trip up less technical buyers. On cost, the tiers are object-counted, not usage-metered, and MCP calls from external tools don't burn Hosted Chat credits. That predictability is welcome compared to per-token context services, though Free's single profile and 50 documents cap out fast. Pick Knotr when you want a shared, reviewable skill library without running a Git repo for prompts — Teams get changelogs for approving changes instead of pull requests. Pass if you already have a mature prompt pipeline with CI and review gates you like, or if you need on-prem hosting or raw API access to the knowledge layer. The honest gap is publishing: Artifacts stay shareable inside Knotr today, and sending them to Confluence or Jira is framed as the next thing being built. If your workflow ends in
Models under the hood
as of 2026-11-09
Limitations
- Knotr uses flat monthly plans with explicit object limits rather than usage-based billing; AI credits cover Hosted Chat work only, and MCP use from external tools does not consume them.
- Free includes 1 profile, 10 skills, 50 documents, 10 artifacts, and 1 style guide; Pro ($24/mo or $20/mo billed annually) includes 5 profiles, 75 skills, 500 documents, 75 artifacts, and 1 style guide; Max ($49/mo or $40/mo billed annually) includes unlimited profiles, unlimited skills, 5,000 documents, unlimited artifacts, and unlimited style guides; Team has a 3-user minimum with 1,000 documents and 250 artifacts per user plus pooled credits.
- Hosted Chat is in beta.
- Artifacts are currently kept and shared inside Knotr, with Publications to Confluence, Jira, and other destinations described as still being built.
as of 2026-10-08
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Is Knotr AI still active?
Knotr AI is live · free plan, paid from $20/mo billed annually · last verified 8 Nov 2026 · viability healthy.
Viability score
How well maintained and how widely used is Knotr AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: November 2026
How we score →What do users say about Knotr AI?
What people actually say about Knotr AI — is it worth it?
We scanned public community sources for Knotr AI on Nov 5, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 0 of the posts we fetched could be positively tied to Knotr AI. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
How we verified this
Every listed fact about Knotr AI — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 8 Nov 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.
Verification history
We have re-verified Knotr AI 15 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed our verdict, description, pricing tiers, pricing page
- — changed limitations, pricing page
- — changed description, integrations, who it suits, our verdict, pricing tiers, features, who should skip it
- — changed pricing page
- — changed description, integrations, pricing tiers, features, our verdict, summary, who should skip it
- — changed limitations, pricing page
Showing the 6 most recent of 15 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Knotr AI cost in 2026?
Knotr AI: Free to start; paid plans from $20/mo billed annually. Pricing last verified 8 Nov 2026.
Plans compared
Every published Knotr AI tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Free | Free | — | One person testing whether a persistent profile actually improves output across Cursor, Claude, or ChatGPT before paying anything.Adds: Starting tier: 1 Profile, 10 Skills, 50 Documents, 10 Artifacts, 1 Style Guide from a Starter Pack, 100 Hosted Chat credits/month. |
| Pro | $20/mo billed annuallyVendor: “$24/mo or $20/mo billed annually” | monthly, billed annually | Solo power user with real work across two or three MCP clients who needs more than one profile and room for a few hundred documents.Adds: Raises Free's limits to 5 Profiles, 75 Skills, 500 Documents, 75 Artifacts, and 1,000 Hosted Chat credits/month. |
| Max | $40/mo billed annuallyVendor: “$49/mo or $40/mo billed annually” | monthly, billed annually | Heavy individual user who has stopped counting objects — many profiles, several style guides, and a document library in the thousands.Adds: Removes the profile, skill, artifact, and style guide caps entirely and raises documents to 5,000 with 2,500 Hosted Chat credits/month. |
| Team | $25/user/moVendor: “$25 per user/month, 3-user minimum” | monthly, per seat | Small team that wants to test, approve, and share skills together without running a Git-for-prompts repo or its review overhead.Adds: Adds shared and private visibility, team Skills Catalog listings, GitHub marketplace import, pooled 1,000 credits per seat, and built-in changelogs in place of pull requests. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Knotr AI's pricing actually pencils out — and where peers do it cheaper.
Free ($0) is genuinely usable for one person with one profile; Pro at $24/mo (or $20/mo billed annually) suits a solo power user across Cursor, Claude, and ChatGPT; Max at $49/mo (or $40/mo billed annually) unlocks unlimited profiles, skills, artifacts, and style guides for people who hit the object ceilings. Team at $25 per user/month with a 3-user minimum undercuts per-seat pricing for larger prompt-management or agent-instruction tools, but sits above simply sharing a Max seat.
Has Knotr AI's pricing changed?
No plan price for Knotr AI has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Knotr AI?
Pick Knotr AI if you are Power users juggling Cursor, Claude, ChatGPT, and Gemini who want one voice across all of them, Small teams standardizing how AI writes and reasons without running a prompts Git repo, Anyone repeatedly re-uploading the same documents and instructions into new AI sessions, MCP power users who want profiles and skills exposed to external clients.
Look elsewhere if you are People who use one AI assistant and rarely change how they prompt it, Teams running mature Git-based prompt libraries with CI and review gates they like, Anyone needing on-prem deployment or raw direct API access to the knowledge layer, Gemini users who won't go through the custom Connected App setup.
Skip it if Skip Knotr if your team already runs a mature Git-based prompt repo with CI and review gates you like, or you need on-prem deployment — Knotr is a hosted layer, not a repo replacement.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Knotr AI actually fits — and what changes day-one when you adopt it.
Defines one profile and style guide, loads architecture notes into a knowledgebase, then connects Cursor and Claude Code over MCP so code review comments and commit messages come out in the same voice.
Outcome: The same standards apply in the CLI and the editor without re-pasting instructions, and finished review write-ups land as versioned Artifacts instead of lost chat threads.
Applies the Product Management starter pack, pulls strategy and metrics notes into a knowledgebase, and runs the PRD drafter skill in Hosted Chat with an Artifact Type that enforces problem, goals, and non-goals.
Outcome: Every PRD uses the same structure and the same company context, and stakeholders open a shareable Artifact link rather than hunting through a chat.
Creates a Team workspace, seeds it from the Skills Catalog and a GitHub marketplace import, iterates drafts in Hosted Chat with shared visibility, and reviews changes in built-in changelogs before flipping skills to private.
Outcome: The team reviews a changelog instead of diffing markdown files, and approved skills connect to the MCP clients everyone already uses.
Use cases
- Maintain a single set of instructions and documents that follow you from Claude to Cursor to other MCP-compatible tools.
- Create a team library of approved prompts and knowledge so everyone uses the same context without emailing files.
- Import a Claude-compatible plugin marketplace from GitHub and manage updates centrally instead of in pull requests.
- Iterate on a skill draft with the built-in AI assistant, then share it with your team when it's ready.
- Track who changed a profile or skill and when, using built-in changelogs instead of diffing markdown files.
- Turn AI-generated work into versioned artifacts you can open at a shareable link, so outputs are available where people need them.
Setup time & first value
How long it actually takes to get something useful out of Knotr AI — broken out by persona, not the marketing-page minute.
About 2 minutes to a free account and a first profile, per the homepage. Getting one MCP client (Cursor, Claude, or ChatGPT) reading your profile takes a few more minutes of connection setup. Teams add more time: shared workspace setup, starter-pack selection, and connecting multiple MCP clients across the group realistically means an afternoon before the library is in daily use.
Switching to or from Knotr AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a Git prompt repo: port your system prompts into Profiles and Style Guides, then import Claude-compatible plugin repos via GitHub marketplace import.
- →From pasted chat instructions: consolidate duplicated system prompts into one Profile, then connect each MCP client so it stops being manual.
- →From loose notes and re-uploaded PDFs: load trusted documents and notes into a knowledgebase so sessions start from shared facts.
- →From individual skill drafts in chat: file the working versions as Skills, iterate with the built-in AI assistant, then share.
- ↗To a Git-based prompt repo: export your profile and skill text and rebuild it as markdown with your own CI and review gates.
- ↗To plain chat clients: keep using Cursor, Claude, and ChatGPT without Knotr, and paste instructions manually per session.
- ↗To a note app plus manual workflows: move knowledgebase documents back into your existing document store and rebuild context by hand.
Integrations
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Knotr AI”, and we withheld 6: 6 could not be judged, because “Knotr AI” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Knotr AI.
Official links
What are the best Knotr AI alternatives?
The closest alternatives to Knotr AI we list are Wato, Pipedream MCP and AnyCap. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Wato | Contact Sales | Custom pricing | — |
| Pipedream MCP | Freemium | Pricing not published | — |
| AnyCap | Paid | Pricing not published | — |
Alternatives to Knotr AI
View all
Wato
Wato gives every AI coding agent one shared MCP memory, tools, and permission layer
Pipedream MCP
MCP server layer that gives AI assistants 3,225+ app integrations and 10,000+ pre-built tools via Pipedream Connect.
Tools that pair well with Knotr AI
Common stack mates teams adopt alongside Knotr AI, with the specific reason each pairing earns its keep.
Wato
Wato gives every AI coding agent one shared MCP memory, tools, and permission layer
Pipedream MCP
MCP server layer that gives AI assistants 3,225+ app integrations and 10,000+ pre-built tools via Pipedream Connect.
AnyCap
AnyCap gives coding agents image, video, music, voice, search and publishing through one CLI.
Knotr AI vs its closest rival
Knotr AI's closest head-to-head is with Spider Cloud.
Our Knotr AI vs Spider Cloud verdict written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
Frequently asked questions
Best-of guides
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For makers of Knotr AI
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