--- title: "LibreChat vs onyx" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/danny-avila-librechat-vs-onyx-dot-app-onyx" tools: ["danny-avila-librechat", "onyx-dot-app-onyx"] --- # LibreChat vs onyx *GraphCanon updated Sep 20, 2026* ## Verdict Pick LibreChat if libreChat provides a versatile AI chat platform for self-hosting with extensive features like model switching, code interpretation, and secure multi-user authentication; pick onyx if onyx is an open-source AI platform that supports AI chat functionalities with advanced features, suitable for deployment in various environments including Docker, Kubernetes, and cloud providers. It offers both Lite and,. [LibreChat](https://librechat.ai/) reports 44k GitHub stars, 9.1k forks, and 776 open issues, last pushed Sep 20, 2026. [onyx](https://onyx.app) has 32k stars, 4.5k forks, and 470 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [LibreChat's repository](https://github.com/danny-avila/LibreChat) and [onyx's repository](https://github.com/onyx-dot-app/onyx). | | [LibreChat](/tools/danny-avila-librechat.md) | [onyx](/tools/onyx-dot-app-onyx.md) | | --- | --- | --- | | Tagline | Enhanced ChatGPT Clone with extensive features and integrations for self-hosting | Open Source AI Platform - AI Chat with advanced features that works with every LLM | | Stars | 44,416 | 32,153 | | Forks | 9,122 | 4,477 | | Open issues | 776 | 470 | | Language | TypeScript | Python | | Adopt for | LibreChat provides a versatile AI chat platform for self-hosting with extensive features like model switching, code interpretation, and secure multi-user authentication. | Onyx is an open-source AI platform that supports AI chat functionalities with advanced features, suitable for deployment in various environments including Docker, Kubernetes, and cloud providers. It offers both Lite and, | | Persona | - | - | | Runtime | - | - | | License | MIT | Onyx is available in two editions: Community Edition (CE) under the MIT license, which covers core features, and Enterprise Edition (EE) with additional features for larger organizations. | | Categories | AI Agents, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, Model Training | AI Agents, Data & Retrieval, Developer Tools, Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LibreChat](/tools/danny-avila-librechat.md) | [onyx](/tools/onyx-dot-app-onyx.md) | | --- | --- | --- | | Open issues (now) | 776 | 470 | | Stars delta | +3.1k (30d) | +536 (30d) | | Open issues delta | +151 (30d) | +69 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/danny-avila-librechat/trust.md) | [trust report](/tools/onyx-dot-app-onyx/trust.md) | ## Decision facts: LibreChat - **Adopt for:** LibreChat provides a versatile AI chat platform for self-hosting with extensive features like model switching, code interpretation, and secure multi-user authentication. ## Decision facts: onyx - **Pricing:** freemium - Onyx Community Edition is free under the MIT license, while the Enterprise Edition includes extra features for larger organizations and requires a paid subscription. - **Requirements:** Min 1 GB RAM; Lite mode requires under 1GB of memory, while Standard mode requires more resources for its additional features. - **Adopt for:** Onyx is an open-source AI platform that supports AI chat functionalities with advanced features, suitable for deployment in various environments including Docker, Kubernetes, and cloud providers. It offers both Lite and, - **License detail:** Onyx is available in two editions: Community Edition (CE) under the MIT license, which covers core features, and Enterprise Edition (EE) with additional features for larger organizations. ## Choose when ### Choose LibreChat if… - LibreChat is primarily TypeScript; onyx is Python. - License: LibreChat is MIT, onyx is Other. - Tags unique to LibreChat: ai, anthropic, artifacts, aws. - Also covers Evaluation & Observability. - LibreChat ships Docker support for self-hosted deployment. - Need to support multiple AI models and protocols in one tool ### Choose onyx if… - onyx is primarily Python; LibreChat is TypeScript. - License: onyx is Other, LibreChat is MIT. - Pricing: Onyx Community Edition is free under the MIT license, while the Enterprise Edition includes extra features for larger organizations and requires a paid subscription.. - Requirements: Min 1 GB RAM; Lite mode requires under 1GB of memory, while Standard mode requires more resources for its additional features.. - Tags unique to onyx: ai-chat, chatui, enterprise-search, gen-ai. - use Onyx when you need a platform that supports both lightweight and full-featured deployments, including vector and keyword indexing, and performance optimizations for large-scale use. ## When NOT to use LibreChat - Looking for a simpler solution with fewer configurability options - Do not require extensive third-party service integrations or complex customizations ## When NOT to use onyx - avoid Onyx if you are looking for a platform that requires minimal setup and resource usage beyond what the Lite mode offers. - do not use Onyx if your project does not benefit from vector and keyword indexing, AI model inference servers, or performance optimizations, as these features are only available in the Standard mode. ## Common questions ### What is the difference between LibreChat and onyx? LibreChat: Enhanced ChatGPT Clone with extensive features and integrations for self-hosting. onyx: Open Source AI Platform - AI Chat with advanced features that works with every LLM. See the comparison table for live GitHub stats and shared categories. ### When should I choose LibreChat over onyx? Choose LibreChat over onyx when LibreChat is primarily TypeScript; onyx is Python; License: LibreChat is MIT, onyx is Other; Tags unique to LibreChat: ai, anthropic, artifacts, aws; Also covers Evaluation & Observability; LibreChat ships Docker support for self-hosted deployment; Need to support multiple AI models and protocols in one tool. ### When should I choose onyx over LibreChat? Choose onyx over LibreChat when onyx is primarily Python; LibreChat is TypeScript; License: onyx is Other, LibreChat is MIT; Pricing: Onyx Community Edition is free under the MIT license, while the Enterprise Edition includes extra features for larger organizations and requires a paid subscription.; Requirements: Min 1 GB RAM; Lite mode requires under 1GB of memory, while Standard mode requires more resources for its additional features.; Tags unique to onyx: ai-chat, chatui, enterprise-search, gen-ai; use Onyx when you need a platform that supports both lightweight and full-featured deployments, including vector and keyword indexing, and performance optimizations for large-scale use. ### When should I avoid LibreChat? Looking for a simpler solution with fewer configurability options Do not require extensive third-party service integrations or complex customizations ### When should I avoid onyx? avoid Onyx if you are looking for a platform that requires minimal setup and resource usage beyond what the Lite mode offers. do not use Onyx if your project does not benefit from vector and keyword indexing, AI model inference servers, or performance optimizations, as these features are only available in the Standard mode. ### Is LibreChat or onyx more popular on GitHub? LibreChat has more GitHub stars (44,416 vs 32,153). Stars measure visibility, not whether either tool fits your constraints. ### Are LibreChat and onyx open source? Yes - both are open-source projects on GitHub (LibreChat: MIT, onyx: Other). ### Where can I find alternatives to LibreChat or onyx? GraphCanon lists graph-backed alternatives at [LibreChat alternatives](/tools/danny-avila-librechat/alternatives) and [onyx alternatives](/tools/onyx-dot-app-onyx/alternatives) ([LibreChat markdown twin](/tools/danny-avila-librechat/alternatives.md), [onyx markdown twin](/tools/onyx-dot-app-onyx/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/danny-avila-librechat-vs-onyx-dot-app-onyx.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LibreChat or onyx? LibreChat: Very active. onyx: Very 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 LibreChat and onyx? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LibreChat trust report](/tools/danny-avila-librechat/trust); [onyx trust report](/tools/onyx-dot-app-onyx/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=danny-avila-librechat`](/api/graphcanon/graph?tool=danny-avila-librechat) - 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/_