--- title: "DocsGPT vs gpt-researcher" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/arc53-docsgpt-vs-assafelovic-gpt-researcher" tools: ["arc53-docsgpt", "assafelovic-gpt-researcher"] --- # DocsGPT vs gpt-researcher *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 gpt-researcher if gpt-researcher is an autonomous agent that uses Language Model Providers to conduct deep research automatically, supporting various installation methods including Docker and deployment as a Claude Skill. [DocsGPT](https://app.docsgpt.cloud/) reports 18k GitHub stars, 2.1k forks, and 96 open issues, last pushed Aug 14, 2026. [gpt-researcher](https://gptr.dev) has 29k stars, 3.9k forks, and 192 open issues, last pushed Jul 18, 2026. Figures are from public GitHub metadata via [DocsGPT's repository](https://github.com/arc53/DocsGPT) and [gpt-researcher's repository](https://github.com/assafelovic/gpt-researcher). | | [DocsGPT](/tools/arc53-docsgpt.md) | [gpt-researcher](/tools/assafelovic-gpt-researcher.md) | | --- | --- | --- | | Tagline | Private AI platform for agents, assistants and enterprise search. | An autonomous agent that conducts deep research using LLM providers | | Stars | 18,216 | 28,883 | | Forks | 2,122 | 3,916 | | Open issues | 96 | 192 | | Language | Python | Python | | Adopt for | DocsGPT is a private AI platform tailored for building agents, conducting deep research, and enabling enterprise search capabilities. | gpt-researcher is an autonomous agent that uses Language Model Providers to conduct deep research automatically, supporting various installation methods including Docker and deployment as a Claude Skill. | | 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. | Apache-2.0 | | 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) | [gpt-researcher](/tools/assafelovic-gpt-researcher.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 21d | | Open issues (now) | 96 | 192 | | Stars delta | +223 (30d) | +737 (30d) | | Open issues delta | +4 (30d) | -18 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/arc53-docsgpt/trust.md) | [trust report](/tools/assafelovic-gpt-researcher/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: gpt-researcher - **Pricing:** freemium - The core functionality of gpt-researcher under Apache-2.0 license is free to use, however, users need API keys from external Language Model Providers like OpenAI and Tavily, which are subject to their - **Adopt for:** gpt-researcher is an autonomous agent that uses Language Model Providers to conduct deep research automatically, supporting various installation methods including Docker and deployment as a Claude Skill. ## Choose when ### Choose DocsGPT if… - License: DocsGPT is MIT, gpt-researcher is Apache-2.0. - 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, chatgpt, docsgpt. - When you need to build custom AI agents with built-in agent builder capability ### Choose gpt-researcher if… - License: gpt-researcher is Apache-2.0, DocsGPT is MIT. - Pricing: The core functionality of gpt-researcher under Apache-2.0 license is free to use, however, users need API keys from external Language Model Providers like OpenAI and Tavily, which are subject to their. - Tags unique to gpt-researcher: agent, automation, deepresearch, llms. - gpt-researcher ships Docker support for self-hosted deployment. - - When you require automated in-depth research capabilities across diverse LLM providers like OpenAI and Tavily. ## 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 gpt-researcher - - If your setup strictly adheres to a specific tool that does not support the extension of capabilities through skills like Claude Skills. - - In scenarios with stringent network restrictions where running an autonomous agent on top of various LLM providers is prohibited or poses security risks. ## Common questions ### What is the difference between DocsGPT and gpt-researcher? DocsGPT: Private AI platform for agents, assistants and enterprise search.. gpt-researcher: An autonomous agent that conducts deep research using LLM providers. See the comparison table for live GitHub stats and shared categories. ### When should I choose DocsGPT over gpt-researcher? Choose DocsGPT over gpt-researcher when License: DocsGPT is MIT, gpt-researcher is Apache-2.0; 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, chatgpt, docsgpt; When you need to build custom AI agents with built-in agent builder capability. ### When should I choose gpt-researcher over DocsGPT? Choose gpt-researcher over DocsGPT when License: gpt-researcher is Apache-2.0, DocsGPT is MIT; Pricing: The core functionality of gpt-researcher under Apache-2.0 license is free to use, however, users need API keys from external Language Model Providers like OpenAI and Tavily, which are subject to their; Tags unique to gpt-researcher: agent, automation, deepresearch, llms; gpt-researcher ships Docker support for self-hosted deployment; - When you require automated in-depth research capabilities across diverse LLM providers like OpenAI and Tavily. ### 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 gpt-researcher? - If your setup strictly adheres to a specific tool that does not support the extension of capabilities through skills like Claude Skills. - In scenarios with stringent network restrictions where running an autonomous agent on top of various LLM providers is prohibited or poses security risks. ### Is DocsGPT or gpt-researcher more popular on GitHub? gpt-researcher has more GitHub stars (28,883 vs 18,216). Stars measure visibility, not whether either tool fits your constraints. ### Are DocsGPT and gpt-researcher open source? Yes - both are open-source projects on GitHub (DocsGPT: MIT, gpt-researcher: Apache-2.0). ### Where can I find alternatives to DocsGPT or gpt-researcher? GraphCanon lists graph-backed alternatives at [DocsGPT alternatives](/tools/arc53-docsgpt/alternatives) and [gpt-researcher alternatives](/tools/assafelovic-gpt-researcher/alternatives) ([DocsGPT markdown twin](/tools/arc53-docsgpt/alternatives.md), [gpt-researcher markdown twin](/tools/assafelovic-gpt-researcher/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-assafelovic-gpt-researcher.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, DocsGPT or gpt-researcher? DocsGPT: Very active. gpt-researcher: 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 DocsGPT and gpt-researcher? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [DocsGPT trust report](/tools/arc53-docsgpt/trust); [gpt-researcher trust report](/tools/assafelovic-gpt-researcher/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/_