--- title: "khoj vs quivr" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/khoj-ai-khoj-vs-quivrhq-quivr" tools: ["khoj-ai-khoj", "quivrhq-quivr"] --- # khoj vs quivr Neutral, constraint-first comparison with live GitHub stats. | | [khoj](/tools/khoj-ai-khoj.md) | [quivr](/tools/quivrhq-quivr.md) | | --- | --- | --- | | Tagline | Your AI second brain | Opiniated RAG for integrating GenAI in your apps | | Stars | 35,524 | 39,190 | | Forks | 2,289 | 3,719 | | Open issues | 117 | 29 | | 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. | Quivr is an opinionated RAG framework for integrating Generative AI into apps, emphasizing customizability and compatibility with multiple LLMs and vectorstores. It allows for quick setup and customization to meet varied | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | Other | | Categories | AI Agents, Evaluation & Observability, Data & Retrieval, Inference & Serving | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [khoj](/tools/khoj-ai-khoj.md) | [quivr](/tools/quivrhq-quivr.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 13d | 363d | | Open issues (now) | 117 | 29 | | Full report | [trust report](/tools/khoj-ai-khoj/trust.md) | [trust report](/tools/quivrhq-quivr/trust.md) | **Typed relationship:** khoj _(alternative)_ quivr Khoj and Quivr both serve as personal AI assistants, positioning themselves as a user's second brain. ## 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: quivr - **Adopt for:** Quivr is an opinionated RAG framework for integrating Generative AI into apps, emphasizing customizability and compatibility with multiple LLMs and vectorstores. It allows for quick setup and customization to meet varied ## Choose when ### Choose khoj if… - License: khoj is AGPL-3.0, quivr is Other. - 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 and Quivr both serve as personal AI assistants, positioning themselves as a user's second brain. - Tags unique to khoj: assistant, chat, self-hosted, semantic-search. - Also covers AI Agents, Evaluation & Observability, Inference & Serving. - 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 quivr if… - License: quivr is Other, khoj is AGPL-3.0. - Khoj and Quivr both serve as personal AI assistants, positioning themselves as a user's second brain. - Tags unique to quivr: llm, rag, vector, api. - Also covers LLM Frameworks. - You need a customizable RAG solution that supports multiple types of files and can integrate easily with different LLMs. ## 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 quivr - If your application strictly demands a non-opinionated approach to RAG where every detail must be manually configured from scratch. - When you require proprietary or highly restricted licensing terms, as Quivr has a 'Other' license that may not align with these needs. - Your project is limited to only specific LLMs not compatible with Quivr's broad support, such as certain bespoke models not covered by its wide umbrella. ## Common questions ### What is the difference between khoj and quivr? khoj: Your AI second brain. quivr: Opiniated RAG for integrating GenAI in your apps. See the comparison table for live GitHub stats and shared categories. ### When should I choose khoj over quivr? Choose khoj over quivr when License: khoj is AGPL-3.0, quivr is Other; 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 and Quivr both serve as personal AI assistants, positioning themselves as a user's second brain; Tags unique to khoj: assistant, chat, self-hosted, semantic-search; Also covers AI Agents, Evaluation & Observability, Inference & Serving; 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 quivr over khoj? Choose quivr over khoj when License: quivr is Other, khoj is AGPL-3.0; Khoj and Quivr both serve as personal AI assistants, positioning themselves as a user's second brain; Tags unique to quivr: llm, rag, vector, api; Also covers LLM Frameworks; You need a customizable RAG solution that supports multiple types of files and can integrate easily with different LLMs. ### 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 quivr? If your application strictly demands a non-opinionated approach to RAG where every detail must be manually configured from scratch. When you require proprietary or highly restricted licensing terms, as Quivr has a 'Other' license that may not align with these needs. Your project is limited to only specific LLMs not compatible with Quivr's broad support, such as certain bespoke models not covered by its wide umbrella. ### Is khoj or quivr more popular on GitHub? quivr has more GitHub stars (39,190 vs 35,524). Stars measure visibility, not whether either tool fits your constraints. ### Are khoj and quivr open source? Yes - both are open-source projects on GitHub (khoj: AGPL-3.0, quivr: Other). ### Where can I find alternatives to khoj or quivr? GraphCanon lists graph-backed alternatives at /tools/khoj-ai-khoj/alternatives and /tools/quivrhq-quivr/alternatives (/tools/khoj-ai-khoj/alternatives.md, /tools/quivrhq-quivr/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-quivrhq-quivr.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, khoj or quivr? khoj: Active. quivr: 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 quivr? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: khoj: /tools/khoj-ai-khoj/trust; quivr: /tools/quivrhq-quivr/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/_