Products

KARN

AI-nativeMCP

The Language That Speaks Agent Natively

karn-lang.dev Source★ 1MITAI Models & Agents / Agent Tools & MCP Servers

AI Benchmark
Desktop
Mobile
Monthly visits
<5K
Oct 2026
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
Free
No monthly subscription pricing
Launched
7mo ago
2026-04-10 · Est.

Traffic

Last 12 months
Monthly visitsData through Oct 2026
Events1 marketing move

Marketing moves

Launches, search & content, referrals, promotions
  • Launched on Product HuntLaunch

    A programming language designed for AI agents

    Apr 10 · 7mo agoLaunch page

Open Source & Agent Ecosystem

GitHub · MCP / Skill
Last commit 2026-09-30
GitHub Stars
★ 1
Forks
—
License
MIT
Primary language
Python

Traffic sources

Oct 2026

Traffic breakdown

Channels

  • Direct31%
  • Organic Search28%
  • Referrals13%
  • Display Ads8%
  • Other20%

Countries

  • New Zealand70%
  • United Kingdom30%

Search

Domain authority —Domain registered 2026-04-05

KeywordMonthly volume
karn4,780

Traffic data: Vaneform

Pricing

Website does not list public plan prices.

Trial: None · Observed 2026-11-01 · Source page

Pages & changes

Tracked since 2026-04-10

Key pages

Weekly snapshots
karn-lang.dev/ Snapshot 2026-11-03

Changes

No pricing, plan, or positioning changes detected since tracking started.

Questions & evidence

How much website traffic does KARN get?
Vaneform estimates <5K website visits in 2026-10. Visits can include repeat visits; this estimate measures web traffic separately from paying customers or revenue.Source
What is KARN and what platforms does it support?
KARN is catalogued under Agent Tools & MCP Servers: The Language That Speaks Agent Natively. Supported platforms: CLI / SDK.
Is KARN open source?
KARN has a public repository (https://github.com/karn-lang/karn) under the MIT license, recording 1 GitHub stars.Source

Related products in this category

AI Models & Agents / Agent Tools & MCP Servers

These products share a catalog category. Compare customer tasks, features and deployment requirements before treating them as alternatives.