--- title: "LangGPT vs autogen" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langgptai-langgpt-vs-microsoft-autogen" tools: ["langgptai-langgpt", "microsoft-autogen"] --- # LangGPT vs autogen *GraphCanon updated Jul 11, 2026* ## Verdict Pick LangGPT when langGPT is primarily Jupyter Notebook; autogen is Python; pick autogen when autogen is primarily Python; LangGPT is Jupyter Notebook. [LangGPT](https://github.com/langgptai) reports 12k GitHub stars, 935 forks, and 0 open issues, last pushed Jun 29, 2026. [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 [LangGPT's repository](https://github.com/langgptai/LangGPT) and [autogen's repository](https://github.com/microsoft/autogen). | | [LangGPT](/tools/langgptai-langgpt.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Tagline | LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词（Structured Prompt）提出者 📌 元提示词（Meta-Prompt）发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-promp | A programming framework for agentic AI | | Stars | 12,330 | 59,658 | | Forks | 935 | 8,983 | | Open issues | 0 | 945 | | Language | Jupyter Notebook | 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 | Apache-2.0 | CC-BY-4.0 | | Categories | LLM Frameworks | LLM Frameworks, AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LangGPT](/tools/langgptai-langgpt.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Maintenance | Active (82%) | Steady (60%) | | Days since push | 11d | 87d | | Open issues (now) | 0 | 945 | | Full report | [trust report](/tools/langgptai-langgpt/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 LangGPT if… - LangGPT is primarily Jupyter Notebook; autogen is Python. - License: LangGPT is Apache-2.0, autogen is CC-BY-4.0. - Tags unique to LangGPT: doubao, gemini, gpt-4, claude. ### Choose autogen if… - autogen is primarily Python; LangGPT is Jupyter Notebook. - License: autogen is CC-BY-4.0, LangGPT is Apache-2.0. - 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 LangGPT - 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 LangGPT and autogen? LangGPT: LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词（Structured Prompt）提出者 📌 元提示词（Meta-Prompt）发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-promp. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose LangGPT over autogen? Choose LangGPT over autogen when LangGPT is primarily Jupyter Notebook; autogen is Python; License: LangGPT is Apache-2.0, autogen is CC-BY-4.0; Tags unique to LangGPT: doubao, gemini, gpt-4, claude. ### When should I choose autogen over LangGPT? Choose autogen over LangGPT when autogen is primarily Python; LangGPT is Jupyter Notebook; License: autogen is CC-BY-4.0, LangGPT is Apache-2.0; 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 LangGPT? 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 LangGPT or autogen more popular on GitHub? autogen has more GitHub stars (59,658 vs 12,330). Stars measure visibility, not whether either tool fits your constraints. ### Are LangGPT and autogen open source? Yes - both are open-source projects on GitHub (LangGPT: Apache-2.0, autogen: CC-BY-4.0). ### Where can I find alternatives to LangGPT or autogen? GraphCanon lists graph-backed alternatives at [LangGPT alternatives](/tools/langgptai-langgpt/alternatives) and [autogen alternatives](/tools/microsoft-autogen/alternatives) ([LangGPT markdown twin](/tools/langgptai-langgpt/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/langgptai-langgpt-vs-microsoft-autogen.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LangGPT or autogen? LangGPT: Active. 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 LangGPT and autogen? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LangGPT trust report](/tools/langgptai-langgpt/trust); [autogen trust report](/tools/microsoft-autogen/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langgptai-langgpt`](/api/graphcanon/graph?tool=langgptai-langgpt) - 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/_