--- title: "autogen vs Learning-Prompt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-autogen-vs-thinkingjimmy-learning-prompt" tools: ["microsoft-autogen", "thinkingjimmy-learning-prompt"] --- # autogen vs Learning-Prompt *GraphCanon updated Jul 11, 2026* ## Verdict Pick autogen when autogen is primarily Python; Learning-Prompt is CSS; pick Learning-Prompt when learning-Prompt is primarily CSS; autogen is Python. [autogen](https://microsoft.github.io/autogen/) reports 60k GitHub stars, 9.0k forks, and 945 open issues, last pushed Apr 15, 2026. [Learning-Prompt](https://learningprompt.wiki) has 5.3k stars, 396 forks, and 16 open issues, last pushed Sep 17, 2023. Figures are from public GitHub metadata via [autogen's repository](https://github.com/microsoft/autogen) and [Learning-Prompt's repository](https://github.com/thinkingjimmy/Learning-Prompt). | | [autogen](/tools/microsoft-autogen.md) | [Learning-Prompt](/tools/thinkingjimmy-learning-prompt.md) | | --- | --- | --- | | Tagline | A programming framework for agentic AI | Free prompt engineering online course. ChatGPT and Midjourney tutorials are now included! | | Stars | 59,658 | 5,319 | | Forks | 8,983 | 396 | | Open issues | 945 | 16 | | Language | Python | CSS | | 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 | LLM Frameworks, AI Agents | LLM Frameworks, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autogen](/tools/microsoft-autogen.md) | [Learning-Prompt](/tools/thinkingjimmy-learning-prompt.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 87d | 1028d | | Open issues (now) | 945 | 16 | | Owner type | Organization | User | | Full report | [trust report](/tools/microsoft-autogen/trust.md) | [trust report](/tools/thinkingjimmy-learning-prompt/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… - autogen is primarily Python; Learning-Prompt is CSS. - License: autogen is CC-BY-4.0, Learning-Prompt 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: 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. ### Choose Learning-Prompt if… - Learning-Prompt is primarily CSS; autogen is Python. - License: Learning-Prompt is Other, autogen is CC-BY-4.0. - Tags unique to Learning-Prompt: prompt-toolkit, css, prompt, prompt-engineering. - Also covers Developer Tools. ## 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 Learning-Prompt - Last GitHub push was 1029 days ago (dormant maintenance, Sep 17, 2023). Validate activity before betting a new project on Learning-Prompt. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between autogen and Learning-Prompt? autogen: A programming framework for agentic AI. Learning-Prompt: Free prompt engineering online course. ChatGPT and Midjourney tutorials are now included!. See the comparison table for live GitHub stats and shared categories. ### When should I choose autogen over Learning-Prompt? Choose autogen over Learning-Prompt when autogen is primarily Python; Learning-Prompt is CSS; License: autogen is CC-BY-4.0, Learning-Prompt 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: 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 choose Learning-Prompt over autogen? Choose Learning-Prompt over autogen when Learning-Prompt is primarily CSS; autogen is Python; License: Learning-Prompt is Other, autogen is CC-BY-4.0; Tags unique to Learning-Prompt: prompt-toolkit, css, prompt, prompt-engineering; Also covers Developer Tools. ### 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 Learning-Prompt? Last GitHub push was 1029 days ago (dormant maintenance, Sep 17, 2023). Validate activity before betting a new project on Learning-Prompt. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is autogen or Learning-Prompt more popular on GitHub? autogen has more GitHub stars (59,658 vs 5,319). Stars measure visibility, not whether either tool fits your constraints. ### Are autogen and Learning-Prompt open source? Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, Learning-Prompt: Other). ### Where can I find alternatives to autogen or Learning-Prompt? GraphCanon lists graph-backed alternatives at [autogen alternatives](/tools/microsoft-autogen/alternatives) and [Learning-Prompt alternatives](/tools/thinkingjimmy-learning-prompt/alternatives) ([autogen markdown twin](/tools/microsoft-autogen/alternatives.md), [Learning-Prompt markdown twin](/tools/thinkingjimmy-learning-prompt/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-thinkingjimmy-learning-prompt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autogen or Learning-Prompt? autogen: Steady. Learning-Prompt: 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 Learning-Prompt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autogen trust report](/tools/microsoft-autogen/trust); [Learning-Prompt trust report](/tools/thinkingjimmy-learning-prompt/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/_