onyx

onyx-dot-app / onyx

开源AI平台,提供支持多种LLM的AI聊天与高级功能,帮助用户快速搭建自托管AI助手。

Python LLM 应用 AI 基础设施 AI Agent AI平台 多LLM支持 AI聊天 自托管 开源

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Onyx 是一款功能全面的开源AI平台,最大亮点是兼容几乎所有主流LLM,用户可自由选择模型。它内置聊天、知识库等高级特性,适合团队或开发者自托管部署,避免数据外泄。项目活跃度高,但部署和配置有一定门槛,建议熟悉Docker和LLM生态的开发者使用。

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同场景 · LLM 应用 / AI 基础设施 / AI Agent

项目文档

来自 GitHub README · main 分支

Onyx - The Open Source AI Platform

Onyx is the application layer for LLMs - bringing a feature-rich interface that can be easily hosted by anyone. Onyx enables LLMs through advanced capabilities like RAG, web search, code execution, file creation, deep research and more.

Connect your applications with over 50+ indexing based connectors provided out of the box or via MCP.

[!TIP] Deploy with a single command: curl -fsSL https://onyx.app/install_onyx.sh | bash

Onyx Chat Silent Demo


⭐ Features

  • 🔍 Agentic RAG: Get best in class search and answer quality based on hybrid index + AI Agents for information retrieval
  • Benchmark to release soon!
  • 🔬 Deep Research: Get in depth reports with a multi-step research flow.
  • Top of leaderboard as of Feb 2026.
  • 🤖 Custom Agents: Build AI Agents with unique instructions, knowledge, and actions.
  • 🌍 Web Search: Browse the web to get up to date information.
  • Supports Serper, Google PSE, Brave, SearXNG, and others.
  • Comes with an in house web crawler and support for Firecrawl/Exa.
  • 📄 Artifacts: Generate documents, graphics, and other downloadable artifacts.
  • ▶️ Actions & MCP: Let Onyx agents interact with external applications, comes with flexible Auth options.
  • 💻 Code Execution: Execute code in a sandbox to analyze data, render graphs, or modify files.
  • 🎙️ Voice Mode: Chat with Onyx via text-to-speech and speech-to-text.
  • 🎨 Image Generation: Generate images based on user prompts.

Onyx supports all major LLM providers, both self-hosted (like Ollama, LiteLLM, vLLM, etc.) and proprietary (like Anthropic, OpenAI, Gemini, etc.).

To learn more - check out our docs!


🚀 Deployment Modes

Onyx supports deployments in Docker, Kubernetes, Helm/Terraform and provides guides for major cloud providers. Detailed deployment guides found here.

Onyx supports two separate deployment options: standard and lite.

Onyx Lite

The Lite mode can be thought of as a lightweight Chat UI. It requires less resources (under 1GB memory) and runs a less complex stack. It is great for users who want to test out Onyx quickly or for teams who are only interested in the Chat UI and Agents functionalities.

Standard Onyx

The complete feature set of Onyx which is recommended for serious users and larger teams. Additional components not included in Lite mode: - Vector + Keyword index for RAG. - Background containers to run job queues and workers for syncing knowledge from connectors. - AI model inference servers to run deep learning models used during indexing and inference. - Performance optimizations for large scale use via in memory cache (Redis) and blob store (MinIO).

[!TIP] To try Onyx for free without deploying, visit Onyx Cloud.


🏢 Onyx for Enterprise

Onyx is built for teams of all sizes, from individual users to the largest global enterprises: - 👥 Collaboration: Share chats and agents with other members of your organization. - 🔐 Single Sign On: SSO via Google OAuth, OIDC, or SAML. Group syncing and user provisioning via SCIM. - 🛡️ Role Based Access Control: RBAC for sensitive resources like access to agents, actions, etc. - 📊 Analytics: Usage graphs broken down by teams, LLMs, or agents. - 🕵️ Query History: Audit usage to ensure safe adoption of AI in your organization. - 💻 Custom code: Run custom code to remove PII, reject sensitive queries, or to run custom analysis. - 🎨 Whitelabeling: Customize the look and feel of Onyx with custom naming, icons, banners, and more.

📚 Licensing

There are two editions of Onyx:

  • Onyx Community Edition (CE) is available freely under the MIT license and covers all of the core features for Chat, RAG, Agents, and Actions.
  • Onyx Enterprise Edition (EE) includes extra features that are primarily useful for larger organizations.

For feature details, check out our website.

👪 Community

Join our open source community on Discord!

💡 Contributing

Looking to contribute? Please check out the Contribution Guide for more details.

文档抓取自 GitHub 仓库 README,版权归原作者所有;已过滤徽章等噪音并经安全消毒后展示。