--- title: "onyx vs awesome-ai-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/onyx-dot-app-onyx-vs-rohitg00-awesome-ai-apps" tools: ["onyx-dot-app-onyx", "rohitg00-awesome-ai-apps"] --- # onyx vs awesome-ai-apps *GraphCanon updated Aug 16, 2026* ## Verdict Pick onyx if onyx is an open-source platform tailored for developing AI chat applications that can integrate with various large language models (LLMs). It caters to developers and enterprises needing flexible, customizable solutions; pick awesome-ai-apps if awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models. [onyx](https://onyx.app) reports 32k GitHub stars, 4.4k forks, and 401 open issues, last pushed Aug 16, 2026. [awesome-ai-apps](https://agenstskills.com) has 817 stars, 174 forks, and 27 open issues, last pushed Feb 10, 2026. Figures are from public GitHub metadata via [onyx's repository](https://github.com/onyx-dot-app/onyx) and [awesome-ai-apps's repository](https://github.com/rohitg00/awesome-ai-apps). | | [onyx](/tools/onyx-dot-app-onyx.md) | [awesome-ai-apps](/tools/rohitg00-awesome-ai-apps.md) | | --- | --- | --- | | Tagline | Open Source AI Platform - AI Chat with advanced features that works with every LLM | A curated collection of AI Agents and LLM Apps with various tech stacks | | Stars | 31,617 | 817 | | Forks | 4,351 | 174 | | Open issues | 401 | 27 | | Language | Python | HTML | | Adopt for | Onyx is an open-source platform tailored for developing AI chat applications that can integrate with various large language models (LLMs). It caters to developers and enterprises needing flexible, customizable solutions. | awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models. | | Persona | - | - | | Runtime | - | - | | License | Other (Specific license details not provided here) | Apache-2.0 | | Categories | AI Agents, Data & Retrieval, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [onyx](/tools/onyx-dot-app-onyx.md) | [awesome-ai-apps](/tools/rohitg00-awesome-ai-apps.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 182d | | Open issues (now) | 401 | 27 | | Stars delta | +685 (30d) | Unknown | | Open issues delta | -94 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/onyx-dot-app-onyx/trust.md) | [trust report](/tools/rohitg00-awesome-ai-apps/trust.md) | ## Decision facts: onyx - **Requirements:** Requires Python environment - **Adopt for:** Onyx is an open-source platform tailored for developing AI chat applications that can integrate with various large language models (LLMs). It caters to developers and enterprises needing flexible, customizable solutions. - **License detail:** Other (Specific license details not provided here) ## Decision facts: awesome-ai-apps - **Adopt for:** awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models. ## Choose when ### Choose onyx if… - onyx is primarily Python; awesome-ai-apps is HTML. - License: onyx is Other, awesome-ai-apps is Apache-2.0. - Requirements: Requires Python environment. - Tags unique to onyx: ai-chat, enterprise-search, llm-ui, rag. - Also covers Data & Retrieval. - When you need a versatile framework that supports integration with multiple LLMs to develop customized AI chat platforms. ### Choose awesome-ai-apps if… - awesome-ai-apps is primarily HTML; onyx is Python. - License: awesome-ai-apps is Apache-2.0, onyx is Other. - Tags unique to awesome-ai-apps: agents, ai, apps, automation. - For exploring real-world implementations of AI agents across different technologies ## When NOT to use onyx - When you are already committed to a specific proprietary LLM framework with specialized needs not covered by Onyx. - If your project does not require extensive customization or support for multiple LLMs; this could introduce unnecessary complexity. - For scenarios where real-time collaboration and direct customer support on the platform itself are critical, as Onyx may have limitations in these areas compared to more managed solutions. ## When NOT to use awesome-ai-apps - When seeking detailed implementation steps specific to one technology stack - In scenarios demanding a deep dive into proprietary or less publicly-known application codes ## Common questions ### What is the difference between onyx and awesome-ai-apps? onyx: Open Source AI Platform - AI Chat with advanced features that works with every LLM. awesome-ai-apps: A curated collection of AI Agents and LLM Apps with various tech stacks. See the comparison table for live GitHub stats and shared categories. ### When should I choose onyx over awesome-ai-apps? Choose onyx over awesome-ai-apps when onyx is primarily Python; awesome-ai-apps is HTML; License: onyx is Other, awesome-ai-apps is Apache-2.0; Requirements: Requires Python environment; Tags unique to onyx: ai-chat, enterprise-search, llm-ui, rag; Also covers Data & Retrieval; When you need a versatile framework that supports integration with multiple LLMs to develop customized AI chat platforms. ### When should I choose awesome-ai-apps over onyx? Choose awesome-ai-apps over onyx when awesome-ai-apps is primarily HTML; onyx is Python; License: awesome-ai-apps is Apache-2.0, onyx is Other; Tags unique to awesome-ai-apps: agents, ai, apps, automation; For exploring real-world implementations of AI agents across different technologies. ### When should I avoid onyx? When you are already committed to a specific proprietary LLM framework with specialized needs not covered by Onyx. If your project does not require extensive customization or support for multiple LLMs; this could introduce unnecessary complexity. For scenarios where real-time collaboration and direct customer support on the platform itself are critical, as Onyx may have limitations in these areas compared to more managed solutions. ### When should I avoid awesome-ai-apps? When seeking detailed implementation steps specific to one technology stack In scenarios demanding a deep dive into proprietary or less publicly-known application codes ### Is onyx or awesome-ai-apps more popular on GitHub? onyx has more GitHub stars (31,617 vs 817). Stars measure visibility, not whether either tool fits your constraints. ### Are onyx and awesome-ai-apps open source? Yes - both are open-source projects on GitHub (onyx: Other, awesome-ai-apps: Apache-2.0). ### Where can I find alternatives to onyx or awesome-ai-apps? GraphCanon lists graph-backed alternatives at [onyx alternatives](/tools/onyx-dot-app-onyx/alternatives) and [awesome-ai-apps alternatives](/tools/rohitg00-awesome-ai-apps/alternatives) ([onyx markdown twin](/tools/onyx-dot-app-onyx/alternatives.md), [awesome-ai-apps markdown twin](/tools/rohitg00-awesome-ai-apps/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/onyx-dot-app-onyx-vs-rohitg00-awesome-ai-apps.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, onyx or awesome-ai-apps? onyx: Very active. awesome-ai-apps: 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 onyx and awesome-ai-apps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [onyx trust report](/tools/onyx-dot-app-onyx/trust); [awesome-ai-apps trust report](/tools/rohitg00-awesome-ai-apps/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=onyx-dot-app-onyx`](/api/graphcanon/graph?tool=onyx-dot-app-onyx) - 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/_