--- title: "LangGPT vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langgptai-langgpt-vs-significant-gravitas-autogpt" tools: ["langgptai-langgpt", "significant-gravitas-autogpt"] --- # LangGPT vs AutoGPT *GraphCanon updated Jul 11, 2026* ## Verdict Pick LangGPT when langGPT is primarily Jupyter Notebook; AutoGPT is Python; pick AutoGPT when autoGPT 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. [AutoGPT](https://agpt.co) has 185k stars, 46k forks, and 494 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [LangGPT's repository](https://github.com/langgptai/LangGPT) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [LangGPT](/tools/langgptai-langgpt.md) | [AutoGPT](/tools/significant-gravitas-autogpt.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 | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 12,330 | 185,464 | | Forks | 935 | 46,111 | | Open issues | 0 | 494 | | Language | Jupyter Notebook | Python | | Adopt for | - | AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | LLM Frameworks | LLM Frameworks, AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LangGPT](/tools/langgptai-langgpt.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 11d | 0d | | Open issues (now) | 0 | 494 | | Full report | [trust report](/tools/langgptai-langgpt/trust.md) | [trust report](/tools/significant-gravitas-autogpt/trust.md) | ## Decision facts: AutoGPT - **Adopt for:** AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude. ## Choose when ### Choose LangGPT if… - LangGPT is primarily Jupyter Notebook; AutoGPT is Python. - License: LangGPT is Apache-2.0, AutoGPT is Other. - Tags unique to LangGPT: doubao, gemini, gpt-4, chatgpt. ### Choose AutoGPT if… - AutoGPT is primarily Python; LangGPT is Jupyter Notebook. - License: AutoGPT is Other, LangGPT is Apache-2.0. - Tags unique to AutoGPT: agents, llm, ai, artificial-intelligence. - Also covers AI Agents. - When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ## 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 AutoGPT - Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. - If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools. ## Common questions ### What is the difference between LangGPT and AutoGPT? 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. AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. See the comparison table for live GitHub stats and shared categories. ### When should I choose LangGPT over AutoGPT? Choose LangGPT over AutoGPT when LangGPT is primarily Jupyter Notebook; AutoGPT is Python; License: LangGPT is Apache-2.0, AutoGPT is Other; Tags unique to LangGPT: doubao, gemini, gpt-4, chatgpt. ### When should I choose AutoGPT over LangGPT? Choose AutoGPT over LangGPT when AutoGPT is primarily Python; LangGPT is Jupyter Notebook; License: AutoGPT is Other, LangGPT is Apache-2.0; Tags unique to AutoGPT: agents, llm, ai, artificial-intelligence; Also covers AI Agents; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ### 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 AutoGPT? Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools. ### Is LangGPT or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 12,330). Stars measure visibility, not whether either tool fits your constraints. ### Are LangGPT and AutoGPT open source? Yes - both are open-source projects on GitHub (LangGPT: Apache-2.0, AutoGPT: Other). ### Where can I find alternatives to LangGPT or AutoGPT? GraphCanon lists graph-backed alternatives at [LangGPT alternatives](/tools/langgptai-langgpt/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([LangGPT markdown twin](/tools/langgptai-langgpt/alternatives.md), [AutoGPT markdown twin](/tools/significant-gravitas-autogpt/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-significant-gravitas-autogpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LangGPT or AutoGPT? LangGPT: Active. AutoGPT: Very 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 LangGPT and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LangGPT trust report](/tools/langgptai-langgpt/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/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/_