--- title: "autogen vs awesome-chatgpt-prompts-zh" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-autogen-vs-plexpt-awesome-chatgpt-prompts-zh" tools: ["microsoft-autogen", "plexpt-awesome-chatgpt-prompts-zh"] --- # autogen vs awesome-chatgpt-prompts-zh *GraphCanon updated Jul 12, 2026* ## Verdict Pick autogen if autoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models; pick awesome-chatgpt-prompts-zh if awesome-chatgpt-prompts-zh 是一个针对 ChatGPT 的中文使用指南和提示集合，旨在帮助用户更好地利用这个语言模型完成多样的任务和场景。. [autogen](https://microsoft.github.io/autogen/) reports 60k GitHub stars, 9.0k forks, and 945 open issues, last pushed Apr 15, 2026. [awesome-chatgpt-prompts-zh](https://chat.aimakex.com/) has 61k stars, 14k forks, and 46 open issues, last pushed Apr 28, 2026. Figures are from public GitHub metadata via [autogen's repository](https://github.com/microsoft/autogen) and [awesome-chatgpt-prompts-zh's repository](https://github.com/PlexPt/awesome-chatgpt-prompts-zh). | | [autogen](/tools/microsoft-autogen.md) | [awesome-chatgpt-prompts-zh](/tools/plexpt-awesome-chatgpt-prompts-zh.md) | | --- | --- | --- | | Tagline | A programming framework for agentic AI | ChatGPT 中文调教指南 | | Stars | 59,658 | 60,907 | | Forks | 8,983 | 13,548 | | Open issues | 945 | 46 | | Language | Python | - | | Adopt for | AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models. | awesome-chatgpt-prompts-zh 是一个针对 ChatGPT 的中文使用指南和提示集合，旨在帮助用户更好地利用这个语言模型完成多样的任务和场景。 | | Persona | - | - | | Runtime | - | - | | License | CC-BY-4.0 | MIT | | Categories | AI Agents, LLM Frameworks | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autogen](/tools/microsoft-autogen.md) | [awesome-chatgpt-prompts-zh](/tools/plexpt-awesome-chatgpt-prompts-zh.md) | | --- | --- | --- | | Days since push | 87d | 73d | | Open issues (now) | 945 | 46 | | Owner type | Organization | User | | Full report | [trust report](/tools/microsoft-autogen/trust.md) | [trust report](/tools/plexpt-awesome-chatgpt-prompts-zh/trust.md) | ## Shared compatibility - **Python**: [autogen](/tools/microsoft-autogen.md) - Python runtime; [awesome-chatgpt-prompts-zh](/tools/plexpt-awesome-chatgpt-prompts-zh.md) - Python runtime ## Decision facts: autogen - **Requirements:** Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure. - **Adopt for:** AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models. ## Decision facts: awesome-chatgpt-prompts-zh - **Pricing:** unknown - **Requirements:** 此工具主要是关于如何使用ChatGPT进行中文场景下的各种任务，并不是一个独立的服务或框架，用户需要自行准备ChatGPT的访问和使用环境。 - **Adopt for:** awesome-chatgpt-prompts-zh 是一个针对 ChatGPT 的中文使用指南和提示集合，旨在帮助用户更好地利用这个语言模型完成多样的任务和场景。 ## Choose when ### Choose autogen if… - License: autogen is CC-BY-4.0, awesome-chatgpt-prompts-zh is MIT. - Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.. - Tags unique to autogen: agentic-agi, agents, ai, autogen. - Also covers AI Agents. - You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ### Choose awesome-chatgpt-prompts-zh if… - License: awesome-chatgpt-prompts-zh is MIT, autogen is CC-BY-4.0. - Requirements: 此工具主要是关于如何使用ChatGPT进行中文场景下的各种任务，并不是一个独立的服务或框架，用户需要自行准备ChatGPT的访问和使用环境。. - Tags unique to awesome-chatgpt-prompts-zh: chat-gpt, chatgpt3, chatgpt4, gpt. - 当您需要指导如何优化您的中文输入以获得更好的回应时； ## When NOT to use autogen - If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework. - When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited. - You need solutions which do not involve additional installations for server components such as `playwright/mcp`, as AutoGen requires this setup for certain functionalities. ## When NOT to use awesome-chatgpt-prompts-zh - 如果需要严格的本地法律法规专业知识指导，因为它可能缺乏针对具体国家和地区的深度定制化法律服务； - 对于实时性和高度专业化的技术问题解答需求较少优化，因为它主要为文本创作提供支持和技术性的输入提示指南。 ## Common questions ### What is the difference between autogen and awesome-chatgpt-prompts-zh? autogen: A programming framework for agentic AI. awesome-chatgpt-prompts-zh: ChatGPT 中文调教指南. See the comparison table for live GitHub stats and shared categories. ### When should I choose autogen over awesome-chatgpt-prompts-zh? Choose autogen over awesome-chatgpt-prompts-zh when License: autogen is CC-BY-4.0, awesome-chatgpt-prompts-zh is MIT; Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.; Tags unique to autogen: agentic-agi, agents, ai, autogen; Also covers AI Agents; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ### When should I choose awesome-chatgpt-prompts-zh over autogen? Choose awesome-chatgpt-prompts-zh over autogen when License: awesome-chatgpt-prompts-zh is MIT, autogen is CC-BY-4.0; Requirements: 此工具主要是关于如何使用ChatGPT进行中文场景下的各种任务，并不是一个独立的服务或框架，用户需要自行准备ChatGPT的访问和使用环境。; Tags unique to awesome-chatgpt-prompts-zh: chat-gpt, chatgpt3, chatgpt4, gpt; 当您需要指导如何优化您的中文输入以获得更好的回应时；. ### When should I avoid autogen? If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework. When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited. You need solutions which do not involve additional installations for server components such as `playwright/mcp`, as AutoGen requires this setup for certain functionalities. ### When should I avoid awesome-chatgpt-prompts-zh? 如果需要严格的本地法律法规专业知识指导，因为它可能缺乏针对具体国家和地区的深度定制化法律服务； 对于实时性和高度专业化的技术问题解答需求较少优化，因为它主要为文本创作提供支持和技术性的输入提示指南。 ### Is autogen or awesome-chatgpt-prompts-zh more popular on GitHub? awesome-chatgpt-prompts-zh has more GitHub stars (60,907 vs 59,658). Stars measure visibility, not whether either tool fits your constraints. ### Are autogen and awesome-chatgpt-prompts-zh open source? Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, awesome-chatgpt-prompts-zh: MIT). ### Where can I find alternatives to autogen or awesome-chatgpt-prompts-zh? GraphCanon lists graph-backed alternatives at [autogen alternatives](/tools/microsoft-autogen/alternatives) and [awesome-chatgpt-prompts-zh alternatives](/tools/plexpt-awesome-chatgpt-prompts-zh/alternatives) ([autogen markdown twin](/tools/microsoft-autogen/alternatives.md), [awesome-chatgpt-prompts-zh markdown twin](/tools/plexpt-awesome-chatgpt-prompts-zh/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/microsoft-autogen-vs-plexpt-awesome-chatgpt-prompts-zh.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autogen or awesome-chatgpt-prompts-zh? autogen: Steady. awesome-chatgpt-prompts-zh: Steady. 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 autogen and awesome-chatgpt-prompts-zh? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autogen trust report](/tools/microsoft-autogen/trust); [awesome-chatgpt-prompts-zh trust report](/tools/plexpt-awesome-chatgpt-prompts-zh/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=microsoft-autogen`](/api/graphcanon/graph?tool=microsoft-autogen) - 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/_