--- title: "OpenAGI vs gpt_academic" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agiresearch-openagi-vs-binary-husky-gpt-academic" tools: ["agiresearch-openagi", "binary-husky-gpt-academic"] --- # OpenAGI vs gpt_academic *GraphCanon updated Jul 12, 2026* ## Verdict Pick OpenAGI if openAGI is an agent creation package allowing for the development of AI agents that can integrate with the AIOS system. It's recommended to migrate towards Cerebrum, which offers a newer SDK; pick gpt_academic if gpt_academic专为增强与GPT/GLM等大语言模型的交互，优化论文写作、润色和阅读体验。它支持自定义模块、多种LLM接入，并且拥有PDF/LaTeX文档处理功能。. [OpenAGI](https://docs.aios.foundation) reports 2.3k GitHub stars, 209 forks, and 9 open issues, last pushed Nov 28, 2024. [gpt_academic](https://github.com/binary-husky/gpt_academic/wiki/online) has 71k stars, 8.3k forks, and 329 open issues, last pushed Jan 25, 2026. Figures are from public GitHub metadata via [OpenAGI's repository](https://github.com/agiresearch/OpenAGI) and [gpt_academic's repository](https://github.com/binary-husky/gpt_academic). | | [OpenAGI](/tools/agiresearch-openagi.md) | [gpt_academic](/tools/binary-husky-gpt-academic.md) | | --- | --- | --- | | Tagline | Agent creation package for building agents in AIOS | 提供实用化交互接口，优化论文阅读/润色/写作体验 | | Stars | 2,275 | 71,056 | | Forks | 209 | 8,350 | | Open issues | 9 | 329 | | Language | Python | Python | | Adopt for | OpenAGI is an agent creation package allowing for the development of AI agents that can integrate with the AIOS system. It's recommended to migrate towards Cerebrum, which offers a newer SDK. | gpt_academic专为增强与GPT/GLM等大语言模型的交互，优化论文写作、润色和阅读体验。它支持自定义模块、多种LLM接入，并且拥有PDF/LaTeX文档处理功能。 | | Persona | - | - | | Runtime | - | - | | License | MIT license allows freedom to use for any purpose with attribution. | 使用GPL-3.0许可证，这意味着你可以自由地运行、学习、分享和修改这个软件，但是如果你在分发含gpt_academic的程序时，你必须公开整个程序源代码且采用同为GPL许可证 | | Categories | AI Agents | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [OpenAGI](/tools/agiresearch-openagi.md) | [gpt_academic](/tools/binary-husky-gpt-academic.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 589d | 166d | | Open issues (now) | 9 | 329 | | Owner type | Organization | User | | Security scan | 1 low (1 low) | No lockfile | | Full report | [trust report](/tools/agiresearch-openagi/trust.md) | [trust report](/tools/binary-husky-gpt-academic/trust.md) | ## Decision facts: OpenAGI - **Hosting:** self hosted - OpenAGI is a self-hostable package that requires deployment and management on your own infrastructure. - **Pricing:** freemium - Free to use under MIT license; free for non-commercial purposes, commercial projects might require additional agreements or payment plans not specified in the repository. - **Adopt for:** OpenAGI is an agent creation package allowing for the development of AI agents that can integrate with the AIOS system. It's recommended to migrate towards Cerebrum, which offers a newer SDK. - **License detail:** MIT license allows freedom to use for any purpose with attribution. ## Decision facts: gpt_academic - **Pricing:** freemium - **Requirements:** Min 8 GB RAM; 依赖Python环境 - **Adopt for:** gpt_academic专为增强与GPT/GLM等大语言模型的交互，优化论文写作、润色和阅读体验。它支持自定义模块、多种LLM接入，并且拥有PDF/LaTeX文档处理功能。 - **License detail:** 使用GPL-3.0许可证，这意味着你可以自由地运行、学习、分享和修改这个软件，但是如果你在分发含gpt_academic的程序时，你必须公开整个程序源代码且采用同为GPL许可证 ## Choose when ### Choose OpenAGI if… - License: OpenAGI is MIT, gpt_academic is GPL-3.0. - OpenAGI is a self-hostable package that requires deployment and management on your own infrastructure. - Pricing: Free to use under MIT license; free for non-commercial purposes, commercial projects might require additional agreements or payment plans not specified in the repository.. - Tags unique to OpenAGI: agents, agiresearch, aios. - Also covers AI Agents. - - **Current Projects**: If you have existing projects built on OpenAGI and they need continued maintenance or minor updates rather than a major overhaul ### Choose gpt_academic if… - License: gpt_academic is GPL-3.0, OpenAGI is MIT. - Requirements: Min 8 GB RAM; 依赖Python环境. - Tags unique to gpt_academic: academic, chatglm-6b, chatgpt, gpt-4. - Also covers Developer Tools, LLM Frameworks. - gpt_academic ships Docker support for self-hosted deployment. - 需要使用GPT或GLM大语言模型进行高效的学术论文相关任务时 ## When NOT to use OpenAGI - - **New Projects**: OpenAGI recommends migration to Cerebrum, marking it unsuitable for new projects looking towards future-proof solutions - - **Advanced Development Needs**: When requiring enhanced capabilities or features that are only included in the newer framework (Cerebrum), sticking with OpenAGI may limit advancement ## When NOT to use gpt_academic - 主要任务不是围绕论文和学术资料处理时, 特别是不涉及到大语言模型的实际应用情况 - 不需要自定义快捷按钮与高级功能插件，且对通用的大语言模型交互界面已经满意 - 侧重于文本创作以外的开发流程优化（例如：性能调优或低层级编程实现） - 只需要基本的数据翻译或总结工具，无需连接多个大语言模型来提升任务效率 ## Common questions ### What is the difference between OpenAGI and gpt_academic? OpenAGI: Agent creation package for building agents in AIOS. gpt_academic: 提供实用化交互接口，优化论文阅读/润色/写作体验. See the comparison table for live GitHub stats and shared categories. ### When should I choose OpenAGI over gpt_academic? Choose OpenAGI over gpt_academic when License: OpenAGI is MIT, gpt_academic is GPL-3.0; OpenAGI is a self-hostable package that requires deployment and management on your own infrastructure; Pricing: Free to use under MIT license; free for non-commercial purposes, commercial projects might require additional agreements or payment plans not specified in the repository.; Tags unique to OpenAGI: agents, agiresearch, aios; Also covers AI Agents; - **Current Projects**: If you have existing projects built on OpenAGI and they need continued maintenance or minor updates rather than a major overhaul. ### When should I choose gpt_academic over OpenAGI? Choose gpt_academic over OpenAGI when License: gpt_academic is GPL-3.0, OpenAGI is MIT; Requirements: Min 8 GB RAM; 依赖Python环境; Tags unique to gpt_academic: academic, chatglm-6b, chatgpt, gpt-4; Also covers Developer Tools, LLM Frameworks; gpt_academic ships Docker support for self-hosted deployment; 需要使用GPT或GLM大语言模型进行高效的学术论文相关任务时. ### When should I avoid OpenAGI? - **New Projects**: OpenAGI recommends migration to Cerebrum, marking it unsuitable for new projects looking towards future-proof solutions - **Advanced Development Needs**: When requiring enhanced capabilities or features that are only included in the newer framework (Cerebrum), sticking with OpenAGI may limit advancement ### When should I avoid gpt_academic? 主要任务不是围绕论文和学术资料处理时, 特别是不涉及到大语言模型的实际应用情况 不需要自定义快捷按钮与高级功能插件，且对通用的大语言模型交互界面已经满意 侧重于文本创作以外的开发流程优化（例如：性能调优或低层级编程实现） 只需要基本的数据翻译或总结工具，无需连接多个大语言模型来提升任务效率 ### Is OpenAGI or gpt_academic more popular on GitHub? gpt_academic has more GitHub stars (71,056 vs 2,275). Stars measure visibility, not whether either tool fits your constraints. ### Are OpenAGI and gpt_academic open source? Yes - both are open-source projects on GitHub (OpenAGI: MIT, gpt_academic: GPL-3.0). ### Where can I find alternatives to OpenAGI or gpt_academic? GraphCanon lists graph-backed alternatives at [OpenAGI alternatives](/tools/agiresearch-openagi/alternatives) and [gpt_academic alternatives](/tools/binary-husky-gpt-academic/alternatives) ([OpenAGI markdown twin](/tools/agiresearch-openagi/alternatives.md), [gpt_academic markdown twin](/tools/binary-husky-gpt-academic/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/agiresearch-openagi-vs-binary-husky-gpt-academic.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, OpenAGI or gpt_academic? OpenAGI: Dormant. gpt_academic: Slowing. 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 OpenAGI and gpt_academic? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [OpenAGI trust report](/tools/agiresearch-openagi/trust); [gpt_academic trust report](/tools/binary-husky-gpt-academic/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agiresearch-openagi`](/api/graphcanon/graph?tool=agiresearch-openagi) - 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/_