--- title: "autogen vs yao-open-prompts" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-autogen-vs-yaojingang-yao-open-prompts" tools: ["microsoft-autogen", "yaojingang-yao-open-prompts"] --- # autogen vs yao-open-prompts *GraphCanon updated Jul 11, 2026* ## Verdict Pick autogen when license: autogen is CC-BY-4.0, yao-open-prompts is Other; pick yao-open-prompts when license: yao-open-prompts is Other, autogen is CC-BY-4.0. [autogen](https://microsoft.github.io/autogen/) reports 60k GitHub stars, 9.0k forks, and 945 open issues, last pushed Apr 15, 2026. [yao-open-prompts](https://yaojingang.github.io/yao-open-prompts/) has 2.6k stars, 425 forks, and 0 open issues, last pushed Jun 27, 2026. Figures are from public GitHub metadata via [autogen's repository](https://github.com/microsoft/autogen) and [yao-open-prompts's repository](https://github.com/yaojingang/yao-open-prompts). | | [autogen](/tools/microsoft-autogen.md) | [yao-open-prompts](/tools/yaojingang-yao-open-prompts.md) | | --- | --- | --- | | Tagline | A programming framework for agentic AI | Yao Open Prompts: A Chinese-language AI prompt library for work, learning, content, marketing, and everyday life. | | Stars | 59,658 | 2,610 | | Forks | 8,983 | 425 | | Open issues | 945 | 0 | | Language | Python | 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 | Other | | Categories | AI Agents, LLM Frameworks | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autogen](/tools/microsoft-autogen.md) | [yao-open-prompts](/tools/yaojingang-yao-open-prompts.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Active (82%) | | Days since push | 87d | 14d | | Open issues (now) | 945 | 0 | | Owner type | Organization | User | | Full report | [trust report](/tools/microsoft-autogen/trust.md) | [trust report](/tools/yaojingang-yao-open-prompts/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 autogen if… - License: autogen is CC-BY-4.0, yao-open-prompts is Other. - 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, autogen, autogen-ecosystem. - Also covers AI Agents. - You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ### Choose yao-open-prompts if… - License: yao-open-prompts is Other, autogen is CC-BY-4.0. - Tags unique to yao-open-prompts: chinese-prompts, geo, prompt-engineering, prompts. - More recently updated (last pushed Jun 27, 2026). ## 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 yao-open-prompts - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between autogen and yao-open-prompts? autogen: A programming framework for agentic AI. yao-open-prompts: Yao Open Prompts: A Chinese-language AI prompt library for work, learning, content, marketing, and everyday life.. See the comparison table for live GitHub stats and shared categories. ### When should I choose autogen over yao-open-prompts? Choose autogen over yao-open-prompts when License: autogen is CC-BY-4.0, yao-open-prompts is Other; 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, autogen, autogen-ecosystem; 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 yao-open-prompts over autogen? Choose yao-open-prompts over autogen when License: yao-open-prompts is Other, autogen is CC-BY-4.0; Tags unique to yao-open-prompts: chinese-prompts, geo, prompt-engineering, prompts; More recently updated (last pushed Jun 27, 2026). ### 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 yao-open-prompts? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is autogen or yao-open-prompts more popular on GitHub? autogen has more GitHub stars (59,658 vs 2,610). Stars measure visibility, not whether either tool fits your constraints. ### Are autogen and yao-open-prompts open source? Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, yao-open-prompts: Other). ### Where can I find alternatives to autogen or yao-open-prompts? GraphCanon lists graph-backed alternatives at [autogen alternatives](/tools/microsoft-autogen/alternatives) and [yao-open-prompts alternatives](/tools/yaojingang-yao-open-prompts/alternatives) ([autogen markdown twin](/tools/microsoft-autogen/alternatives.md), [yao-open-prompts markdown twin](/tools/yaojingang-yao-open-prompts/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-yaojingang-yao-open-prompts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autogen or yao-open-prompts? autogen: Steady. yao-open-prompts: 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 autogen and yao-open-prompts? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autogen trust report](/tools/microsoft-autogen/trust); [yao-open-prompts trust report](/tools/yaojingang-yao-open-prompts/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/_