Knit - AI Prompt Library

Knit - AI Prompt Library

3.0

A comprehensive library of AI prompts for various applications. Find the right prompt for your needs.

Last Updated Nov 10, 2026
Knit - AI Prompt Library screenshot

About

Knit is an AI testing platform built specifically for prompt developers, helping developers efficiently build, test, and optimize AI prompts. Whether you are an individual developer or an enterprise team, Knit provides powerful tools and an intuitive interface to make the AI development process smoother and more streamlined.

Key Features

Prompt Testing & Optimization: Quickly test the performance of different prompts and optimize results through data analysis.
Multi-Model Support: Compatible with leading AI models, making it easy for developers to compare outputs across different models.
Team Collaboration: Supports multi-developer collaboration with real-time sharing of prompt templates and test data.
Version Management: Automatically records prompt modification history, allowing easy rollback and comparison of different versions.

Pricing & Fees

  • Pricing: Knit offers a free Starter plan (forever), a Plus plan at $7/month and a Pro plan at $21/month; annual billing saves 30%.
  • Free tier: The Starter plan includes 2 projects with 4 prompts each, 100 credits monthly, access to basic models, the smart prompt builder, function call simulation and 3-day prompt history.
  • Plan limits: Plus raises limits to 5 projects, 30 prompts per project, 2,000 credits monthly, gpt-4 and image prompts with gpt-4-vision, 6 inline variable groups, unlimited runs with your own API keys and 30-day prompt history; Pro adds unlimited projects and prompts, 10,000 credits monthly, member access control and unlimited prompt history.
  • No API key required: You can get started for free without providing your own API key, and Plus subscribers can run unlimited prompts using their own keys.
  • Billing: Monthly and annual billing are available, with a 30% discount on annual subscriptions.

Who It's For

Knit is ideal for AI prompt engineers and developers, product teams looking to optimize AI application performance, researchers who need to quickly test different prompt variations, and educators teaching AI-related courses at academic institutions.