--- title: "ChatGPT-On-CS vs ChatGPT-Shortcut" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cs-lazy-tools-chatgpt-on-cs-vs-rockbenben-chatgpt-shortcut" tools: ["cs-lazy-tools-chatgpt-on-cs", "rockbenben-chatgpt-shortcut"] --- # ChatGPT-On-CS vs ChatGPT-Shortcut *GraphCanon updated Sep 20, 2026* ## Verdict Pick ChatGPT-On-CS if chatGPT-On-CS is a multi-platform AI chat service tool offering configurations with GPT3.5 and GPT4.0 models for customer service operations on platforms such as WeChat, Pinduoduo, Bilibili and Zhihu, among others; pick ChatGPT-Shortcut if chatGPT-Shortcut serves as a repository for managing and sharing custom prompts for AI tools like ChatGPT with support for English, Chinese, Spanish, and Arabic. [ChatGPT-On-CS](https://jinxiaoai.com/) reports 4.4k GitHub stars, 572 forks, and 3 open issues, last pushed Aug 27, 2026. [ChatGPT-Shortcut](https://www.aishort.top/en) has 8.8k stars, 957 forks, and 0 open issues, last pushed Sep 10, 2026. Figures are from public GitHub metadata via [ChatGPT-On-CS's repository](https://github.com/cs-lazy-tools/ChatGPT-On-CS) and [ChatGPT-Shortcut's repository](https://github.com/rockbenben/ChatGPT-Shortcut). | | [ChatGPT-On-CS](/tools/cs-lazy-tools-chatgpt-on-cs.md) | [ChatGPT-Shortcut](/tools/rockbenben-chatgpt-shortcut.md) | | --- | --- | --- | | Tagline | 智能对话客服工具，支持多平台接入和多种AI模型 | Maximize your efficiency and productivity through prompt management, customization, and sharing. | | Stars | 4,405 | 8,770 | | Forks | 572 | 957 | | Open issues | 3 | 0 | | Language | TypeScript | TypeScript | | Adopt for | ChatGPT-On-CS is a multi-platform AI chat service tool offering configurations with GPT3.5 and GPT4.0 models for customer service operations on platforms such as WeChat, Pinduoduo, Bilibili and Zhihu, among others. | ChatGPT-Shortcut serves as a repository for managing and sharing custom prompts for AI tools like ChatGPT with support for English, Chinese, Spanish, and Arabic. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | MIT | | Categories | Computer Vision, Developer Tools, LLM Frameworks, Speech & Audio | Developer Tools, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ChatGPT-On-CS](/tools/cs-lazy-tools-chatgpt-on-cs.md) | [ChatGPT-Shortcut](/tools/rockbenben-chatgpt-shortcut.md) | | --- | --- | --- | | Days since push | 23d | 9d | | Open issues (now) | 3 | 0 | | Stars delta | +141 (30d) | +128 (30d) | | Open issues delta | 0 (30d) | -1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/cs-lazy-tools-chatgpt-on-cs/trust.md) | [trust report](/tools/rockbenben-chatgpt-shortcut/trust.md) | ## Shared compatibility - **ChatGPT**: [ChatGPT-On-CS](/tools/cs-lazy-tools-chatgpt-on-cs.md) - Works with ChatGPT; [ChatGPT-Shortcut](/tools/rockbenben-chatgpt-shortcut.md) - Works with ChatGPT ## Decision facts: ChatGPT-On-CS - **Requirements:** The software must be used in compliance with the AGPL-3.0 license which includes sharing any modifications made to the source code.; Users should ensure that they have rights to integrate this tool into their customer service operations on platforms such as WeChat, Pinduoduo, and more. - **Adopt for:** ChatGPT-On-CS is a multi-platform AI chat service tool offering configurations with GPT3.5 and GPT4.0 models for customer service operations on platforms such as WeChat, Pinduoduo, Bilibili and Zhihu, among others. - **License detail:** AGPL-3.0 ## Decision facts: ChatGPT-Shortcut - **Requirements:** Min 2 GB RAM; Ensure TypeScript is supported in the development environment to fully leverage the tool’s capabilities. - **Adopt for:** ChatGPT-Shortcut serves as a repository for managing and sharing custom prompts for AI tools like ChatGPT with support for English, Chinese, Spanish, and Arabic. ## Choose when ### Choose ChatGPT-On-CS if… - License: ChatGPT-On-CS is AGPL-3.0, ChatGPT-Shortcut is MIT. - Requirements: The software must be used in compliance with the AGPL-3.0 license which includes sharing any modifications made to the source code.; Users should ensure that they have rights to integrate this tool into their customer service operations on platforms such as WeChat, Pinduoduo, and more.. - Tags unique to ChatGPT-On-CS: automation, bilibili, bot, dify. - Also covers Computer Vision, LLM Frameworks, Speech & Audio. - Utilize ChatGPT-On-CS when you aim to integrate a highly adaptable AI chat mechanism across various Chinese social media and e-commerce platforms like wechat, pinduoduo, bilibili. ### Choose ChatGPT-Shortcut if… - License: ChatGPT-Shortcut is MIT, ChatGPT-On-CS is AGPL-3.0. - Requirements: Min 2 GB RAM; Ensure TypeScript is supported in the development environment to fully leverage the tool’s capabilities.. - Tags unique to ChatGPT-Shortcut: ai-tools, aigc, chatgpt-api, prompt-engineering. - Also covers Evaluation & Observability. - ChatGPT-Shortcut ships Docker support for self-hosted deployment. - Use this tool when you need to manage and customize multiple language prompts specifically targeted at enhancing productivity and efficiency with AI tools such as ChatGPT. ## When NOT to use ChatGPT-On-CS - Avoid using ChatGPT-On-CS if your project requires a more localized or industry-specific model that the default configurations of GPT do not support without heavy customization. - Do not use this tool if you need advanced computer vision capabilities beyond basic image processing, as its focus is on conversational AI rather than sophisticated visual analysis. ## When NOT to use ChatGPT-Shortcut - Avoid this tool if you require prompt customization for languages not supported by ChatGPT-Shortcut like French or German. - Do not use ChatGPT-Shortcut if your project demands a highly specialized AI interface that does not work well with ChatGPT prompts. ## Common questions ### What is the difference between ChatGPT-On-CS and ChatGPT-Shortcut? ChatGPT-On-CS: 智能对话客服工具，支持多平台接入和多种AI模型. ChatGPT-Shortcut: Maximize your efficiency and productivity through prompt management, customization, and sharing.. See the comparison table for live GitHub stats and shared categories. ### When should I choose ChatGPT-On-CS over ChatGPT-Shortcut? Choose ChatGPT-On-CS over ChatGPT-Shortcut when License: ChatGPT-On-CS is AGPL-3.0, ChatGPT-Shortcut is MIT; Requirements: The software must be used in compliance with the AGPL-3.0 license which includes sharing any modifications made to the source code.; Users should ensure that they have rights to integrate this tool into their customer service operations on platforms such as WeChat, Pinduoduo, and more.; Tags unique to ChatGPT-On-CS: automation, bilibili, bot, dify; Also covers Computer Vision, LLM Frameworks, Speech & Audio; Utilize ChatGPT-On-CS when you aim to integrate a highly adaptable AI chat mechanism across various Chinese social media and e-commerce platforms like wechat, pinduoduo, bilibili. ### When should I choose ChatGPT-Shortcut over ChatGPT-On-CS? Choose ChatGPT-Shortcut over ChatGPT-On-CS when License: ChatGPT-Shortcut is MIT, ChatGPT-On-CS is AGPL-3.0; Requirements: Min 2 GB RAM; Ensure TypeScript is supported in the development environment to fully leverage the tool’s capabilities.; Tags unique to ChatGPT-Shortcut: ai-tools, aigc, chatgpt-api, prompt-engineering; Also covers Evaluation & Observability; ChatGPT-Shortcut ships Docker support for self-hosted deployment; Use this tool when you need to manage and customize multiple language prompts specifically targeted at enhancing productivity and efficiency with AI tools such as ChatGPT. ### When should I avoid ChatGPT-On-CS? Avoid using ChatGPT-On-CS if your project requires a more localized or industry-specific model that the default configurations of GPT do not support without heavy customization. Do not use this tool if you need advanced computer vision capabilities beyond basic image processing, as its focus is on conversational AI rather than sophisticated visual analysis. ### When should I avoid ChatGPT-Shortcut? Avoid this tool if you require prompt customization for languages not supported by ChatGPT-Shortcut like French or German. Do not use ChatGPT-Shortcut if your project demands a highly specialized AI interface that does not work well with ChatGPT prompts. ### Is ChatGPT-On-CS or ChatGPT-Shortcut more popular on GitHub? ChatGPT-Shortcut has more GitHub stars (8,770 vs 4,405). Stars measure visibility, not whether either tool fits your constraints. ### Are ChatGPT-On-CS and ChatGPT-Shortcut open source? Yes - both are open-source projects on GitHub (ChatGPT-On-CS: AGPL-3.0, ChatGPT-Shortcut: MIT). ### Where can I find alternatives to ChatGPT-On-CS or ChatGPT-Shortcut? GraphCanon lists graph-backed alternatives at [ChatGPT-On-CS alternatives](/tools/cs-lazy-tools-chatgpt-on-cs/alternatives) and [ChatGPT-Shortcut alternatives](/tools/rockbenben-chatgpt-shortcut/alternatives) ([ChatGPT-On-CS markdown twin](/tools/cs-lazy-tools-chatgpt-on-cs/alternatives.md), [ChatGPT-Shortcut markdown twin](/tools/rockbenben-chatgpt-shortcut/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/cs-lazy-tools-chatgpt-on-cs-vs-rockbenben-chatgpt-shortcut.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ChatGPT-On-CS or ChatGPT-Shortcut? ChatGPT-On-CS: Active. ChatGPT-Shortcut: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for ChatGPT-On-CS and ChatGPT-Shortcut? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ChatGPT-On-CS trust report](/tools/cs-lazy-tools-chatgpt-on-cs/trust); [ChatGPT-Shortcut trust report](/tools/rockbenben-chatgpt-shortcut/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=cs-lazy-tools-chatgpt-on-cs`](/api/graphcanon/graph?tool=cs-lazy-tools-chatgpt-on-cs) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_