--- title: "onyx vs openagent" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/onyx-dot-app-onyx-vs-the-open-agent-openagent" tools: ["onyx-dot-app-onyx", "the-open-agent-openagent"] --- # onyx vs openagent *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 openagent if next-generation personal AI assistant powered by LLM, RAG and agent loops focusing on tasks like computer-use, browser navigation, coding support with an emphasis on. [onyx](https://onyx.app) reports 32k GitHub stars, 4.4k forks, and 401 open issues, last pushed Aug 16, 2026. [openagent](https://www.openagentai.org/) has 5.5k stars, 631 forks, and 47 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [onyx's repository](https://github.com/onyx-dot-app/onyx) and [openagent's repository](https://github.com/the-open-agent/openagent). | | [onyx](/tools/onyx-dot-app-onyx.md) | [openagent](/tools/the-open-agent-openagent.md) | | --- | --- | --- | | Tagline | Open Source AI Platform - AI Chat with advanced features that works with every LLM | next-generation personal AI assistant powered by LLM, RAG and agent loops | | Stars | 31,617 | 5,452 | | Forks | 4,351 | 631 | | Open issues | 401 | 47 | | Language | Python | Go | | 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. | next-generation personal AI assistant powered by LLM, RAG and agent loops focusing on tasks like computer-use, browser navigation, coding support with an emphasis on Go language | | Persona | - | - | | Runtime | - | - | | License | Other (Specific license details not provided here) | Apache-2.0 | | Categories | AI Agents, Data & Retrieval, LLM Frameworks | AI Agents, Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [onyx](/tools/onyx-dot-app-onyx.md) | [openagent](/tools/the-open-agent-openagent.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 401 | 47 | | Stars delta | +685 (30d) | Unknown | | Open issues delta | -94 (30d) | Unknown | | Full report | [trust report](/tools/onyx-dot-app-onyx/trust.md) | [trust report](/tools/the-open-agent-openagent/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: openagent - **Adopt for:** next-generation personal AI assistant powered by LLM, RAG and agent loops focusing on tasks like computer-use, browser navigation, coding support with an emphasis on Go language ## Choose when ### Choose onyx if… - onyx is primarily Python; openagent is Go. - License: onyx is Other, openagent is Apache-2.0. - Requirements: Requires Python environment. - Tags unique to onyx: ai-chat, enterprise-search, llm-ui, vector-search. - When you need a versatile framework that supports integration with multiple LLMs to develop customized AI chat platforms. ### Choose openagent if… - openagent is primarily Go; onyx is Python. - License: openagent is Apache-2.0, onyx is Other. - Tags unique to openagent: agent, agentic-ai, agi, chatbot. - openagent ships Docker support for self-hosted deployment. - When needing advanced coding assistance, offering deep integration with the Go programming environment ## 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 openagent - If looking for broader language support beyond the focus on Go, as openagent may not cater to other programming languages or frameworks as seamlessly - In environments where real-time performance is critical, as its reliance on LLM and RAG might introduce latency ## Common questions ### What is the difference between onyx and openagent? onyx: Open Source AI Platform - AI Chat with advanced features that works with every LLM. openagent: next-generation personal AI assistant powered by LLM, RAG and agent loops. See the comparison table for live GitHub stats and shared categories. ### When should I choose onyx over openagent? Choose onyx over openagent when onyx is primarily Python; openagent is Go; License: onyx is Other, openagent is Apache-2.0; Requirements: Requires Python environment; Tags unique to onyx: ai-chat, enterprise-search, llm-ui, vector-search; When you need a versatile framework that supports integration with multiple LLMs to develop customized AI chat platforms. ### When should I choose openagent over onyx? Choose openagent over onyx when openagent is primarily Go; onyx is Python; License: openagent is Apache-2.0, onyx is Other; Tags unique to openagent: agent, agentic-ai, agi, chatbot; openagent ships Docker support for self-hosted deployment; When needing advanced coding assistance, offering deep integration with the Go programming environment. ### 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 openagent? If looking for broader language support beyond the focus on Go, as openagent may not cater to other programming languages or frameworks as seamlessly In environments where real-time performance is critical, as its reliance on LLM and RAG might introduce latency ### Is onyx or openagent more popular on GitHub? onyx has more GitHub stars (31,617 vs 5,452). Stars measure visibility, not whether either tool fits your constraints. ### Are onyx and openagent open source? Yes - both are open-source projects on GitHub (onyx: Other, openagent: Apache-2.0). ### Where can I find alternatives to onyx or openagent? GraphCanon lists graph-backed alternatives at [onyx alternatives](/tools/onyx-dot-app-onyx/alternatives) and [openagent alternatives](/tools/the-open-agent-openagent/alternatives) ([onyx markdown twin](/tools/onyx-dot-app-onyx/alternatives.md), [openagent markdown twin](/tools/the-open-agent-openagent/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-the-open-agent-openagent.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, onyx or openagent? onyx: Very active. openagent: 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 onyx and openagent? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [onyx trust report](/tools/onyx-dot-app-onyx/trust); [openagent trust report](/tools/the-open-agent-openagent/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/_