--- title: "botpress vs quivr" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/botpress-botpress-vs-quivrhq-quivr" tools: ["botpress-botpress", "quivrhq-quivr"] --- # botpress vs quivr Neutral, constraint-first comparison with live GitHub stats. | | [botpress](/tools/botpress-botpress.md) | [quivr](/tools/quivrhq-quivr.md) | | --- | --- | --- | | Tagline | The open-source hub to build & deploy GPT/LLM Agents | Opiniated RAG for integrating GenAI in your apps | | Stars | 14,772 | 39,190 | | Forks | 2,274 | 3,719 | | Open issues | 21 | 29 | | Language | TypeScript | Python | | Adopt for | Botpress is an open-source platform for developing GPT and LLM-powered chatbots and conversational assistants, featuring robust integrations, developer tools, bot examples, and plugins. | 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 | MIT | Other | | Categories | AI Agents, Developer Tools | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [botpress](/tools/botpress-botpress.md) | [quivr](/tools/quivrhq-quivr.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 363d | | Open issues (now) | 21 | 29 | | Full report | [trust report](/tools/botpress-botpress/trust.md) | [trust report](/tools/quivrhq-quivr/trust.md) | **Typed relationship:** botpress _(alternative)_ quivr Both Quivr and Botpress are platforms that allow users to build GPT/LLM agents, with a focus on deployment versatility and integration. ## Decision facts: botpress - **Adopt for:** Botpress is an open-source platform for developing GPT and LLM-powered chatbots and conversational assistants, featuring robust integrations, developer tools, bot examples, and plugins. ## 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 botpress if… - botpress is primarily TypeScript; quivr is Python. - License: botpress is MIT, quivr is Other. - Both Quivr and Botpress are platforms that allow users to build GPT/LLM agents, with a focus on deployment versatility and integration. - Tags unique to botpress: botpress, nlp, chatgpt, gpt. - Also covers AI Agents, Developer Tools. - When you need a flexible platform to quickly develop advanced AI agents using OpenAI's models. ### Choose quivr if… - quivr is primarily Python; botpress is TypeScript. - License: quivr is Other, botpress is MIT. - Both Quivr and Botpress are platforms that allow users to build GPT/LLM agents, with a focus on deployment versatility and integration. - Tags unique to quivr: rag, vector, api, framework. - Also covers Data & Retrieval, 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 botpress - Avoid choosing Botpress when your use case does not need or cannot justify the investment in OpenAI-based models like GPT-4. - If your chatbot requirements fit better within simpler rule-based systems, consider more basic chatbot development frameworks instead. - Do not opt for this solution if you prefer proprietary developer tools over open-source alternatives. ## 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 botpress and quivr? botpress: The open-source hub to build & deploy GPT/LLM Agents. quivr: Opiniated RAG for integrating GenAI in your apps. See the comparison table for live GitHub stats and shared categories. ### When should I choose botpress over quivr? Choose botpress over quivr when botpress is primarily TypeScript; quivr is Python; License: botpress is MIT, quivr is Other; Both Quivr and Botpress are platforms that allow users to build GPT/LLM agents, with a focus on deployment versatility and integration; Tags unique to botpress: botpress, nlp, chatgpt, gpt; Also covers AI Agents, Developer Tools; When you need a flexible platform to quickly develop advanced AI agents using OpenAI's models. ### When should I choose quivr over botpress? Choose quivr over botpress when quivr is primarily Python; botpress is TypeScript; License: quivr is Other, botpress is MIT; Both Quivr and Botpress are platforms that allow users to build GPT/LLM agents, with a focus on deployment versatility and integration; Tags unique to quivr: rag, vector, api, framework; Also covers Data & Retrieval, 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 botpress? Avoid choosing Botpress when your use case does not need or cannot justify the investment in OpenAI-based models like GPT-4. If your chatbot requirements fit better within simpler rule-based systems, consider more basic chatbot development frameworks instead. Do not opt for this solution if you prefer proprietary developer tools over open-source alternatives. ### 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 botpress or quivr more popular on GitHub? quivr has more GitHub stars (39,190 vs 14,772). Stars measure visibility, not whether either tool fits your constraints. ### Are botpress and quivr open source? Yes - both are open-source projects on GitHub (botpress: MIT, quivr: Other). ### Where can I find alternatives to botpress or quivr? GraphCanon lists graph-backed alternatives at /tools/botpress-botpress/alternatives and /tools/quivrhq-quivr/alternatives (/tools/botpress-botpress/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/botpress-botpress-vs-quivrhq-quivr.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, botpress or quivr? botpress: Very 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 botpress and quivr? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: botpress: /tools/botpress-botpress/trust; quivr: /tools/quivrhq-quivr/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=botpress-botpress`](/api/graphcanon/graph?tool=botpress-botpress) - 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/_