--- title: "autogen vs prompt-patterns" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-autogen-vs-phodal-prompt-patterns" tools: ["microsoft-autogen", "phodal-prompt-patterns"] --- # autogen vs prompt-patterns *GraphCanon updated Jul 11, 2026* ## Verdict 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.; pick prompt-patterns when tags unique to prompt-patterns: github-copilot, prompt-engineering, stable-diffusion. [autogen](https://microsoft.github.io/autogen/) reports 60k GitHub stars, 9.0k forks, and 945 open issues, last pushed Apr 15, 2026. [prompt-patterns](https://prompt-patterns.phodal.com) has 3.1k stars, 198 forks, and 0 open issues, last pushed Mar 22, 2023. Figures are from public GitHub metadata via [autogen's repository](https://github.com/microsoft/autogen) and [prompt-patterns's repository](https://github.com/phodal/prompt-patterns). | | [autogen](/tools/microsoft-autogen.md) | [prompt-patterns](/tools/phodal-prompt-patterns.md) | | --- | --- | --- | | Tagline | A programming framework for agentic AI | Prompt 编写模式：如何将思维框架赋予机器，以设计模式的形式来思考 prompt | | Stars | 59,658 | 3,095 | | Forks | 8,983 | 198 | | Open issues | 945 | 0 | | 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 | AI Agents, LLM Frameworks | Computer Vision, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autogen](/tools/microsoft-autogen.md) | [prompt-patterns](/tools/phodal-prompt-patterns.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 87d | 1207d | | Open issues (now) | 945 | 0 | | Owner type | Organization | User | | Full report | [trust report](/tools/microsoft-autogen/trust.md) | [trust report](/tools/phodal-prompt-patterns/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… - 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 prompt-patterns if… - Tags unique to prompt-patterns: github-copilot, prompt-engineering, stable-diffusion. - Also covers Computer Vision. - Leaner open-issue backlog (0). ## 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 prompt-patterns - Last GitHub push was 1208 days ago (dormant maintenance, Mar 22, 2023). Validate activity before betting a new project on prompt-patterns. - 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 prompt-patterns? autogen: A programming framework for agentic AI. prompt-patterns: Prompt 编写模式：如何将思维框架赋予机器，以设计模式的形式来思考 prompt. See the comparison table for live GitHub stats and shared categories. ### When should I choose autogen over prompt-patterns? Choose autogen over prompt-patterns 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: 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 prompt-patterns over autogen? Choose prompt-patterns over autogen when Tags unique to prompt-patterns: github-copilot, prompt-engineering, stable-diffusion; Also covers Computer Vision; Leaner open-issue backlog (0). ### 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 prompt-patterns? Last GitHub push was 1208 days ago (dormant maintenance, Mar 22, 2023). Validate activity before betting a new project on prompt-patterns. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is autogen or prompt-patterns more popular on GitHub? autogen has more GitHub stars (59,658 vs 3,095). Stars measure visibility, not whether either tool fits your constraints. ### Are autogen and prompt-patterns open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to autogen or prompt-patterns? GraphCanon lists graph-backed alternatives at [autogen alternatives](/tools/microsoft-autogen/alternatives) and [prompt-patterns alternatives](/tools/phodal-prompt-patterns/alternatives) ([autogen markdown twin](/tools/microsoft-autogen/alternatives.md), [prompt-patterns markdown twin](/tools/phodal-prompt-patterns/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-phodal-prompt-patterns.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autogen or prompt-patterns? autogen: Steady. prompt-patterns: Dormant. 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 prompt-patterns? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autogen trust report](/tools/microsoft-autogen/trust); [prompt-patterns trust report](/tools/phodal-prompt-patterns/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/_