--- title: "Awesome-ChatGPT-prompts-ZH_CN vs autogen" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/l1xu4n-awesome-chatgpt-prompts-zh-cn-vs-microsoft-autogen" tools: ["l1xu4n-awesome-chatgpt-prompts-zh-cn", "microsoft-autogen"] --- # Awesome-ChatGPT-prompts-ZH_CN vs autogen *GraphCanon updated Jul 11, 2026* ## Verdict Pick Awesome-ChatGPT-prompts-ZH_CN when tags unique to Awesome-ChatGPT-prompts-ZH_CN: awesome, claude-slack, bing-chat, newbing; pick autogen when 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.. [Awesome-ChatGPT-prompts-ZH_CN](https://github.com/L1Xu4n/Awesome-ChatGPT-prompts-ZH_CN) reports 3.2k GitHub stars, 169 forks, and 11 open issues, last pushed Jul 18, 2023. [autogen](https://microsoft.github.io/autogen/) has 60k stars, 9.0k forks, and 945 open issues, last pushed Apr 15, 2026. Figures are from public GitHub metadata via [Awesome-ChatGPT-prompts-ZH_CN's repository](https://github.com/L1Xu4n/Awesome-ChatGPT-prompts-ZH_CN) and [autogen's repository](https://github.com/microsoft/autogen). | | [Awesome-ChatGPT-prompts-ZH_CN](/tools/l1xu4n-awesome-chatgpt-prompts-zh-cn.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Tagline | 如何将ChatGPT调教成一只猫娘 | A programming framework for agentic AI | | Stars | 3,161 | 59,658 | | Forks | 169 | 8,983 | | Open issues | 11 | 945 | | 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. | | Persona | - | - | | Runtime | - | - | | License | - | CC-BY-4.0 | | Categories | LLM Frameworks | LLM Frameworks, AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Awesome-ChatGPT-prompts-ZH_CN](/tools/l1xu4n-awesome-chatgpt-prompts-zh-cn.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 1088d | 87d | | Open issues (now) | 11 | 945 | | Owner type | User | Organization | | Full report | [trust report](/tools/l1xu4n-awesome-chatgpt-prompts-zh-cn/trust.md) | [trust report](/tools/microsoft-autogen/trust.md) | ## 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. ## Choose when ### Choose Awesome-ChatGPT-prompts-ZH_CN if… - Tags unique to Awesome-ChatGPT-prompts-ZH_CN: awesome, claude-slack, bing-chat, newbing. - Leaner open-issue backlog (11). ### Choose autogen if… - 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: llm-framework, autogen, agents, ai. - Also covers AI Agents. - You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ## When NOT to use Awesome-ChatGPT-prompts-ZH_CN - Last GitHub push was 1089 days ago (dormant maintenance, Jul 18, 2023). Validate activity before betting a new project on Awesome-ChatGPT-prompts-ZH_CN. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## 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. ## Common questions ### What is the difference between Awesome-ChatGPT-prompts-ZH_CN and autogen? Awesome-ChatGPT-prompts-ZH_CN: 如何将ChatGPT调教成一只猫娘. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose Awesome-ChatGPT-prompts-ZH_CN over autogen? Choose Awesome-ChatGPT-prompts-ZH_CN over autogen when Tags unique to Awesome-ChatGPT-prompts-ZH_CN: awesome, claude-slack, bing-chat, newbing; Leaner open-issue backlog (11). ### When should I choose autogen over Awesome-ChatGPT-prompts-ZH_CN? Choose autogen over Awesome-ChatGPT-prompts-ZH_CN when 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: llm-framework, autogen, agents, ai; Also covers AI Agents; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ### When should I avoid Awesome-ChatGPT-prompts-ZH_CN? Last GitHub push was 1089 days ago (dormant maintenance, Jul 18, 2023). Validate activity before betting a new project on Awesome-ChatGPT-prompts-ZH_CN. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### 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. ### Is Awesome-ChatGPT-prompts-ZH_CN or autogen more popular on GitHub? autogen has more GitHub stars (59,658 vs 3,161). Stars measure visibility, not whether either tool fits your constraints. ### Are Awesome-ChatGPT-prompts-ZH_CN and autogen open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to Awesome-ChatGPT-prompts-ZH_CN or autogen? GraphCanon lists graph-backed alternatives at [Awesome-ChatGPT-prompts-ZH_CN alternatives](/tools/l1xu4n-awesome-chatgpt-prompts-zh-cn/alternatives) and [autogen alternatives](/tools/microsoft-autogen/alternatives) ([Awesome-ChatGPT-prompts-ZH_CN markdown twin](/tools/l1xu4n-awesome-chatgpt-prompts-zh-cn/alternatives.md), [autogen markdown twin](/tools/microsoft-autogen/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/l1xu4n-awesome-chatgpt-prompts-zh-cn-vs-microsoft-autogen.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Awesome-ChatGPT-prompts-ZH_CN or autogen? Awesome-ChatGPT-prompts-ZH_CN: Dormant. autogen: 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 Awesome-ChatGPT-prompts-ZH_CN and autogen? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Awesome-ChatGPT-prompts-ZH_CN trust report](/tools/l1xu4n-awesome-chatgpt-prompts-zh-cn/trust); [autogen trust report](/tools/microsoft-autogen/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=l1xu4n-awesome-chatgpt-prompts-zh-cn`](/api/graphcanon/graph?tool=l1xu4n-awesome-chatgpt-prompts-zh-cn) - 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/_