--- title: "DocsGPT vs llama_cloud_services" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/arc53-docsgpt-vs-run-llama-llama-cloud-services" tools: ["arc53-docsgpt", "run-llama-llama-cloud-services"] --- # DocsGPT vs llama_cloud_services *GraphCanon updated Aug 15, 2026* ## Verdict Pick DocsGPT if docsGPT is a private AI platform tailored for building agents, conducting deep research, and enabling enterprise search capabilities; pick llama_cloud_services if llama Cloud Services is poised for users needing a cloud-based knowledge agent solution that excels in document parsing capabilities. However, given its deprecation status, considering the migration to updated versions,如. [DocsGPT](https://app.docsgpt.cloud/) reports 18k GitHub stars, 2.1k forks, and 96 open issues, last pushed Aug 14, 2026. [llama_cloud_services](https://cloud.llamaindex.ai) has 4.3k stars, 467 forks, and 366 open issues, last pushed May 18, 2026. Figures are from public GitHub metadata via [DocsGPT's repository](https://github.com/arc53/DocsGPT) and [llama_cloud_services's repository](https://github.com/run-llama/llama_cloud_services). | | [DocsGPT](/tools/arc53-docsgpt.md) | [llama_cloud_services](/tools/run-llama-llama-cloud-services.md) | | --- | --- | --- | | Tagline | Private AI platform for agents, assistants and enterprise search. | Knowledge Agents and Management in the Cloud | | Stars | 18,216 | 4,258 | | Forks | 2,122 | 467 | | Open issues | 96 | 366 | | Language | Python | TypeScript | | Adopt for | DocsGPT is a private AI platform tailored for building agents, conducting deep research, and enabling enterprise search capabilities. | Llama Cloud Services is poised for users needing a cloud-based knowledge agent solution that excels in document parsing capabilities. However, given its deprecation status, considering the migration to updated versions,如 | | Persona | - | - | | Runtime | - | - | | License | MIT License - Permits free use for commercial or non-commercial purposes but requires you to include the license text if distributing source code. | Llama Cloud Services采用MIT许可证，这意味着它开源且允许自由使用、修改和分发。 | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [DocsGPT](/tools/arc53-docsgpt.md) | [llama_cloud_services](/tools/run-llama-llama-cloud-services.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 74d | | Open issues (now) | 96 | 366 | | Stars delta | +223 (30d) | Unknown | | Open issues delta | +4 (30d) | Unknown | | Full report | [trust report](/tools/arc53-docsgpt/trust.md) | [trust report](/tools/run-llama-llama-cloud-services/trust.md) | ## Decision facts: DocsGPT - **Requirements:** DocsGPT is built using Python and PyTorch, requiring familiarity with these technologies. It supports a wide variety of models but may need customization based. - **Adopt for:** DocsGPT is a private AI platform tailored for building agents, conducting deep research, and enabling enterprise search capabilities. - **License detail:** MIT License - Permits free use for commercial or non-commercial purposes but requires you to include the license text if distributing source code. ## Decision facts: llama_cloud_services - **Pricing:** unknown - 未提供具体定价信息。建议直接与供应商或访问相关网站获取详细信息。 - **Requirements:** - 迁移到新包需要安装Python（1.0及以上版本）或Node.js npm环境。; - 使用特定的语言和工具链，如TypeScript或Python - **Adopt for:** Llama Cloud Services is poised for users needing a cloud-based knowledge agent solution that excels in document parsing capabilities. However, given its deprecation status, considering the migration to updated versions,如 - **License detail:** Llama Cloud Services采用MIT许可证，这意味着它开源且允许自由使用、修改和分发。 ## Choose when ### Choose DocsGPT if… - DocsGPT is primarily Python; llama_cloud_services is TypeScript. - Requirements: DocsGPT is built using Python and PyTorch, requiring familiarity with these technologies. It supports a wide variety of models but may need customization based.. - Tags unique to DocsGPT: agent-builder, agents, ai, chatgpt. - When you need to build custom AI agents with built-in agent builder capability ### Choose llama_cloud_services if… - llama_cloud_services is primarily TypeScript; DocsGPT is Python. - Pricing: 未提供具体定价信息。建议直接与供应商或访问相关网站获取详细信息。. - Requirements: - 迁移到新包需要安装Python（1.0及以上版本）或Node.js npm环境。; - 使用特定的语言和工具链，如TypeScript或Python. - Tags unique to llama_cloud_services: document-parser, pdf, structured-data. - - 需要云基知识代理解决方案，特别是文档解析能力的情况下 ## When NOT to use DocsGPT - If your project relies on open-source tools that are not compatible with the specific ecosystem of DocsGPT - When you specifically require real-time collaboration features directly integrated into the tool, as DocsGPT focuses more on agent building and research capabilities rather than live collaborative AI - For projects where a significant emphasis is placed on user-facing search interfaces, as DocsGPT's strength lies more in backend integration and deep research functionalities ## When NOT to use llama_cloud_services - - ，`llama-cloud-py``@llamaindex/llama-cloud` ## Common questions ### What is the difference between DocsGPT and llama_cloud_services? DocsGPT: Private AI platform for agents, assistants and enterprise search.. llama_cloud_services: Knowledge Agents and Management in the Cloud. See the comparison table for live GitHub stats and shared categories. ### When should I choose DocsGPT over llama_cloud_services? Choose DocsGPT over llama_cloud_services when DocsGPT is primarily Python; llama_cloud_services is TypeScript; Requirements: DocsGPT is built using Python and PyTorch, requiring familiarity with these technologies. It supports a wide variety of models but may need customization based.; Tags unique to DocsGPT: agent-builder, agents, ai, chatgpt; When you need to build custom AI agents with built-in agent builder capability. ### When should I choose llama_cloud_services over DocsGPT? Choose llama_cloud_services over DocsGPT when llama_cloud_services is primarily TypeScript; DocsGPT is Python; Pricing: 未提供具体定价信息。建议直接与供应商或访问相关网站获取详细信息。; Requirements: - 迁移到新包需要安装Python（1.0及以上版本）或Node.js npm环境。; - 使用特定的语言和工具链，如TypeScript或Python; Tags unique to llama_cloud_services: document-parser, pdf, structured-data; - 需要云基知识代理解决方案，特别是文档解析能力的情况下. ### When should I avoid DocsGPT? If your project relies on open-source tools that are not compatible with the specific ecosystem of DocsGPT When you specifically require real-time collaboration features directly integrated into the tool, as DocsGPT focuses more on agent building and research capabilities rather than live collaborative AI For projects where a significant emphasis is placed on user-facing search interfaces, as DocsGPT's strength lies more in backend integration and deep research functionalities ### When should I avoid llama_cloud_services? - ，`llama-cloud-py``@llamaindex/llama-cloud` ### Is DocsGPT or llama_cloud_services more popular on GitHub? DocsGPT has more GitHub stars (18,216 vs 4,258). Stars measure visibility, not whether either tool fits your constraints. ### Are DocsGPT and llama_cloud_services open source? Yes - both are open-source projects on GitHub (DocsGPT: MIT, llama_cloud_services: MIT). ### Where can I find alternatives to DocsGPT or llama_cloud_services? GraphCanon lists graph-backed alternatives at [DocsGPT alternatives](/tools/arc53-docsgpt/alternatives) and [llama_cloud_services alternatives](/tools/run-llama-llama-cloud-services/alternatives) ([DocsGPT markdown twin](/tools/arc53-docsgpt/alternatives.md), [llama_cloud_services markdown twin](/tools/run-llama-llama-cloud-services/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/arc53-docsgpt-vs-run-llama-llama-cloud-services.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, DocsGPT or llama_cloud_services? DocsGPT: Very active. llama_cloud_services: 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 DocsGPT and llama_cloud_services? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [DocsGPT trust report](/tools/arc53-docsgpt/trust); [llama_cloud_services trust report](/tools/run-llama-llama-cloud-services/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=arc53-docsgpt`](/api/graphcanon/graph?tool=arc53-docsgpt) - 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/_