8 Best ChatGPT-Shortcut Alternatives in 2026 (Open Source)
ChatGPT-Shortcut — 🚀💪Maximize your efficiency and productivity. The ultimate hub to manage, customize, and share prompts. (English/中文/Español/العربية). 让生产力加倍的 AI 快捷指令。更高效地管理提示词，在分享社区中发现适用于不同场景的灵感。. 18-language prompt management tool with browser extension sidebar, one-click copy workflow, and community-driven prompt curation
These 8 open-source tools do the same job. They are ordered by how closely they match ChatGPT-Shortcut, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| ChatGPT-Shortcut(original) | 8.8k | +84 | 2026-09-27 |
| OpenPrompt | 1.2k | +-0 | 2026-09-24 |
| PromptSource | 3.0k | +4 | 2023-10-23 |
| System-Prompt-Library | 262 | +3 | 2024-12-18 |
| ChatGPT-Data-Science-Prompts | 1.6k | +4 | 2023-04-03 |
| Fabric | 44.1k | +630 | 2026-09-29 |
| AI Collection | 9.2k | +55 | 2026-09-30 |
| Awesome Best of AI | 731 | +23 | 2026-09-18 |
| gpt-prompt-engineer | 9.7k | +2 | 2025-10-16 |
1. OpenPrompt
Create. Use. Share. ChatGPT prompts
What sets it apart: vs AwesomePrompts/PromptBase: community-curated with star ratings and daily updates, offering free JSON export for programmatic prompt discovery
Best for: Discovering battle-tested prompts across diverse domains; Reducing trial-and-error in prompt engineering
2. PromptSource
Toolkit for creating, sharing and using natural language prompts.
What sets it apart: vs ad-hoc prompt engineering: integrated IDE with 2000+ pre-built prompts across 170+ datasets from BigScience — combines visual authoring with a shareable public repository for collaborative research
Best for: Zero-shot and few-shot learning application development; Multitask fine-tuning research across datasets; Standardized prompt template creation and sharing
3. System-Prompt-Library
A library of shared system prompts for creating customized educational GPT agents.
What sets it apart: vs generic prompt collections: Harvard-created, education-focused prompts with structured pedagogical design guidance and community contribution mechanisms
Best for: Educators building custom GPTs for teaching activities; Instructional designers creating AI-powered learning tools; Researchers studying prompt engineering for education
4. ChatGPT-Data-Science-Prompts
A repository of 60 useful data science prompts for ChatGPT
What sets it apart: vs generic prompt libraries: specifically curated for data science workflows — covers the full ML lifecycle from data exploration to model explanation (LIME/SHAP) with fill-in-the-blank templates
Best for: Data scientists wanting structured ChatGPT prompts for ML workflows; Quick code generation for Python/SQL data tasks; Learning how to effectively prompt LLMs for technical data science work
5. Fabric
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
What sets it apart: The Unix philosophy applied to AI — pipe anything through curated prompt patterns, unlike chatbot-style interfaces that require manual interaction
Best for: Power users wanting reusable AI prompt patterns from the command line; Automating repetitive AI tasks (summarization, extraction, analysis) in shell workflows
6. AI Collection
The Generative AI Landscape - A Collection of Awesome Generative AI Applications
What sets it apart: vs Product Hunt/alternatives.to: focused exclusively on generative AI with 4172+ apps across 43 categories, community-maintained
Best for: Discovering AI applications across diverse categories; Market research on the generative AI landscape
7. Awesome Best of AI
A curated list of best ai tools
What sets it apart: vs ai-collection/awesome lists: focuses exclusively on actively-maintained, widely-adopted tools with quality curation across 8 AI categories
Best for: Discovering top AI tools across diverse categories; Market research on the actively-maintained AI landscape
8. gpt-prompt-engineer
What sets it apart: vs manual prompt tuning / DSPy: automated prompt generation + ELO tournament ranking — generates diverse candidates, tests them against cases, and surfaces the best performer through competitive evaluation
Best for: Systematically optimizing prompts for specific tasks; A/B testing prompt variants with quantitative scoring; Classification task prompt refinement