--- title: "khoj vs R2R" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/khoj-ai-khoj-vs-sciphi-ai-r2r" tools: ["khoj-ai-khoj", "sciphi-ai-r2r"] --- # khoj vs R2R Neutral, constraint-first comparison with live GitHub stats. | | [khoj](/tools/khoj-ai-khoj.md) | [R2R](/tools/sciphi-ai-r2r.md) | | --- | --- | --- | | Tagline | Your AI second brain | SoTA production-ready AI retrieval system. | | Stars | 35,524 | 7,921 | | Forks | 2,289 | 644 | | Open issues | 117 | 121 | | Language | Python | Python | | Adopt for | khoj is an AI application that extends personal capabilities via web searches or document retrieval, supporting self-hosting. It can integrate with various tools and formats. | R2R is designed for developers aiming to integrate state-of-the-art retrieval abilities into their applications via a RESTful API. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | MIT | | Categories | AI Agents, Evaluation & Observability, Data & Retrieval, Inference & Serving | Data & Retrieval, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [khoj](/tools/khoj-ai-khoj.md) | [R2R](/tools/sciphi-ai-r2r.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 13d | 244d | | Open issues (now) | 117 | 121 | | Security scan | No lockfile | Not scanned | | Full report | [trust report](/tools/khoj-ai-khoj/trust.md) | [trust report](/tools/sciphi-ai-r2r/trust.md) | **Typed relationship:** khoj _(alternative)_ R2R Khoj positions itself as an AI second brain for personalized information retrieval similar to R2R's role in information augmentation through generation. ## Decision facts: khoj - **Pricing:** freemium - khoj offers a free self-hosted version. For enterprise-level services with additional support options, pricing details can be found on their official website. - **Requirements:** Min 4 GB RAM; Requires Python environment for self-hosting.; Can also be accessed via its cloud app without local setup. - **Adopt for:** khoj is an AI application that extends personal capabilities via web searches or document retrieval, supporting self-hosting. It can integrate with various tools and formats. ## Decision facts: R2R - **Pricing:** unknown - Details on pricing are not available; the license is MIT, allowing for free use in both open-source and commercial projects. - **Requirements:** Min 8 GB RAM; Requires Docker - **Adopt for:** R2R is designed for developers aiming to integrate state-of-the-art retrieval abilities into their applications via a RESTful API. ## Choose when ### Choose khoj if… - License: khoj is AGPL-3.0, R2R is MIT. - Pricing: khoj offers a free self-hosted version. For enterprise-level services with additional support options, pricing details can be found on their official website.. - Requirements: Min 4 GB RAM; Requires Python environment for self-hosting.; Can also be accessed via its cloud app without local setup.. - Khoj positions itself as an AI second brain for personalized information retrieval similar to R2R's role in information augmentation through generation. - Tags unique to khoj: assistant, chat, self-hosted, ai. - Also covers AI Agents, Evaluation & Observability. - khoj ships Docker support for self-hosted deployment. - When you need to personalize your assistant by creating custom agents tailored to specific roles or tasks. ### Choose R2R if… - License: R2R is MIT, khoj is AGPL-3.0. - Pricing: Details on pricing are not available; the license is MIT, allowing for free use in both open-source and commercial projects.. - Requirements: Min 8 GB RAM; Requires Docker. - Khoj positions itself as an AI second brain for personalized information retrieval similar to R2R's role in information augmentation through generation. - Tags unique to R2R: search, artificial-intelligence, python, large-language-models. - - When your application requires precise and advanced retrieval capabilities that can be easily integrated via a RESTful interface. ## When NOT to use khoj - When requiring an out-of-the-box, no-setup-needed AI tool for all use cases as khoj has a significant setup process for full personalization and control. - If your primary need is solely image generation or simple document viewing without any customizations or smart notifications, since khoj's strengths lie in its extensive customization options and deep - automation capabilities. ## When NOT to use R2R - - If the project does not require high-level retrieval or generation abilities, as R2R is more suited for comprehensive integration in applications demanding advanced AI services. - - When a simpler or lighter integration is needed, as R2R might offer more features than required leading to unnecessary complexity. ## Common questions ### What is the difference between khoj and R2R? khoj: Your AI second brain. R2R: SoTA production-ready AI retrieval system.. See the comparison table for live GitHub stats and shared categories. ### When should I choose khoj over R2R? Choose khoj over R2R when License: khoj is AGPL-3.0, R2R is MIT; Pricing: khoj offers a free self-hosted version. For enterprise-level services with additional support options, pricing details can be found on their official website.; Requirements: Min 4 GB RAM; Requires Python environment for self-hosting.; Can also be accessed via its cloud app without local setup.; Khoj positions itself as an AI second brain for personalized information retrieval similar to R2R's role in information augmentation through generation; Tags unique to khoj: assistant, chat, self-hosted, ai; Also covers AI Agents, Evaluation & Observability; khoj ships Docker support for self-hosted deployment; When you need to personalize your assistant by creating custom agents tailored to specific roles or tasks. ### When should I choose R2R over khoj? Choose R2R over khoj when License: R2R is MIT, khoj is AGPL-3.0; Pricing: Details on pricing are not available; the license is MIT, allowing for free use in both open-source and commercial projects.; Requirements: Min 8 GB RAM; Requires Docker; Khoj positions itself as an AI second brain for personalized information retrieval similar to R2R's role in information augmentation through generation; Tags unique to R2R: search, artificial-intelligence, python, large-language-models; - When your application requires precise and advanced retrieval capabilities that can be easily integrated via a RESTful interface. ### When should I avoid khoj? When requiring an out-of-the-box, no-setup-needed AI tool for all use cases as khoj has a significant setup process for full personalization and control. If your primary need is solely image generation or simple document viewing without any customizations or smart notifications, since khoj's strengths lie in its extensive customization options and deep automation capabilities. ### When should I avoid R2R? - If the project does not require high-level retrieval or generation abilities, as R2R is more suited for comprehensive integration in applications demanding advanced AI services. - When a simpler or lighter integration is needed, as R2R might offer more features than required leading to unnecessary complexity. ### Is khoj or R2R more popular on GitHub? khoj has more GitHub stars (35,524 vs 7,921). Stars measure visibility, not whether either tool fits your constraints. ### Are khoj and R2R open source? Yes - both are open-source projects on GitHub (khoj: AGPL-3.0, R2R: MIT). ### Where can I find alternatives to khoj or R2R? GraphCanon lists graph-backed alternatives at /tools/khoj-ai-khoj/alternatives and /tools/sciphi-ai-r2r/alternatives (/tools/khoj-ai-khoj/alternatives.md, /tools/sciphi-ai-r2r/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 /compare/khoj-ai-khoj-vs-sciphi-ai-r2r.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, khoj or R2R? khoj: Active. R2R: 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 khoj and R2R? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: khoj: /tools/khoj-ai-khoj/trust; R2R: /tools/sciphi-ai-r2r/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=khoj-ai-khoj`](/api/graphcanon/graph?tool=khoj-ai-khoj) - 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/_