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open-webui Review
Open WebUI is an extensible, user-friendly, self-hosted AI platform supporting Ollama and OpenAI-compatible APIs for local and cloud models.
1Supports Ollama and OpenAI-compatible APIs for diverse model integration.
2Features a built-in RAG inference engine supporting 9 vector databases and multiple content extraction engines.
3Offers multi-user environments with role-based access control (RBAC) and chat sharing.
4Architecture aligns with HIPAA, ISO 27001, and SOC 2 for compliance support in user deployments.
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open-webui at a Glance
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About open-webui
Pricing Plans
Free
Free / monthly
- • Self-hosted
- • Supports multiple AI models
- • Extensible with code
- • Offline operation
📄 API DocsOpen Source
Connect
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X / Twitter@OpenWebUI
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overview
What is open-webui?
open-webui is a self-hosted AI platform developed by its open-source community that enables individuals, engineering teams, and enterprises to interact with various large language models (LLMs) through a unified interface. It supports Ollama and OpenAI-compatible APIs, enabling both local and cloud-based model interactions. The platform aims to provide a private, customizable, and cost-effective alternative to proprietary AI chat applications, operating entirely offline for enhanced data control.
quick facts
Quick Facts
| Attribute | Value |
|---|---|
| Developer | Open WebUI Project |
| Business Model | Open Source, Freemium |
| Pricing | Free |
| Platforms | Web |
| API Available | Yes |
| Integrations | Ollama, OpenAI |
| HQ | America/New_York |
| Funding | Bootstrapped |
features
Key Features of open-webui
Open WebUI provides a comprehensive suite of functionalities for managing and interacting with AI models in a self-hosted environment. Its design prioritizes user experience, extensibility, and privacy, offering capabilities that range from basic chat interactions to advanced Retrieval Augmented Generation (RAG) and code execution. Recent updates, including version 0.8.7 (March 1, 2026), have introduced connection access control privacy and enhanced the Open Terminal feature for file management.
- 1Multi-model chat interface supporting Ollama, OpenAI, Anthropic, and other OpenAI-compatible providers.
- 2Built-in Retrieval Augmented Generation (RAG) inference engine with support for 9 vector databases and document uploads (PDFs, DOCX, text files).
- 3Direct execution of LLM-generated Python code within the browser or via an Open Terminal, supporting file management.
- 4Integration with image generation tools such as DALL-E, Gemini, and ComfyUI.
- 5Multi-user environments featuring role-based access control (RBAC), user management, and chat sharing.
- 6Real-time web browsing and search capabilities for AI models with source citation.
- 7Voice and audio interaction through speech-to-text, text-to-speech, and hands-free call features.
- 8"Skills" system for reusable AI instructions and prompt version control.
- 9Analytics dashboard for usage tracking and performance monitoring.
- 10Offline operation for enhanced privacy and control.
use cases
Who Should Use open-webui?
Open WebUI is designed for a broad spectrum of users, from individual AI hobbyists to large enterprises, seeking a private, customizable, and cost-effective platform for AI interaction. Its self-hosting capability makes it particularly appealing for organizations with strict data privacy requirements or those looking to leverage local LLMs. The platform's extensibility also caters to developers and engineering teams building custom AI solutions.
- 1**Individuals and AI Hobbyists**: For interacting with local LLMs and experimenting with AI models in a private, self-hosted environment.
- 2**Engineering Teams and Developers**: For building and managing specialized AI agents, integrating custom AI solutions, and leveraging its extensible codebase.
- 3**Enterprises and Government Agencies**: For self-hosting an AI platform to ensure data privacy, control, and compliance with regulatory frameworks like HIPAA, ISO 27001, and SOC 2.
- 4**Researchers and Small to Medium Teams**: For Retrieval Augmented Generation (RAG) to interact with private documents, manage knowledge bases, and conduct web searches with verifiable citations.
pricing
open-webui Pricing & Plans
Open WebUI operates on an open-source business model, providing its core functionalities completely free of charge. The platform includes a free tier that grants access to all current features, emphasizing its commitment to accessibility and self-hosting for privacy and control. While the business model is described as freemium, all current features are available without cost, with potential for future premium offerings or services. The project moved to the permissive BSD 3-Clause License on January 10, 2025.
- 1Free: Access to all core features and functionalities, including multi-model chat, RAG, code execution, and multi-user support.
competitors
open-webui vs Competitors
Open WebUI competes in the rapidly evolving landscape of AI chat interfaces and self-hosted LLM platforms. It distinguishes itself through its robust RAG capabilities, comprehensive multi-user management, and strong emphasis on offline operation and compliance alignment, offering a feature-rich alternative to both proprietary and other open-source solutions.
1
LobeChat↗
LobeChat is a sleek and feature-rich Chat UI designed for developers, offering multi-modal capabilities, speech synthesis, and an extensible plugin system.
Similar to Open WebUI, LobeChat supports a wide range of AI models, including local LLMs and various cloud providers. It distinguishes itself with a highly polished user interface, built-in voice support, and a robust plugin ecosystem, providing a more comprehensive 'ChatGPT-like' experience.
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AnythingLLM↗
AnythingLLM is an all-in-one AI application focused on enabling users to chat with their documents and enhance productivity with full privacy.
While Open WebUI provides a general AI chat interface, AnythingLLM specializes in document-based Q&A and RAG (Retrieval Augmented Generation) workflows, allowing users to interact with their private data. It offers both self-hosted and desktop application options, emphasizing local and private operation.
3
Jan↗
Jan is an open-source, privacy-first AI chat interface that runs 100% offline on your computer, offering a ChatGPT-style experience with local LLMs.
Jan provides a ready-to-use desktop application for Windows, macOS, and Linux, making it very accessible for local LLM interaction without complex setup, unlike Open WebUI which primarily uses Docker for self-hosting. It also supports cloud model integration and custom assistants.
4
LibreChat↗
LibreChat is a highly customizable, open-source AI chat platform that unifies conversations across numerous AI providers and services in one elegant interface.
LibreChat offers extensive customization options and supports a broad array of AI models and providers, similar to Open WebUI. It stands out with advanced features like AI agents, a secure code interpreter, web search capabilities, and robust multi-user management with various authentication options.
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Frequently Asked Questions
+What is open-webui?
open-webui is a self-hosted AI platform developed by its open-source community that enables individuals, engineering teams, and enterprises to interact with various large language models (LLMs) through a unified interface. It supports Ollama and OpenAI-compatible APIs, enabling both local and cloud-based model interactions.
+Is open-webui free?
Yes, Open WebUI is an open-source project that provides all its core functionalities completely free of charge. While its business model is described as freemium, all current features are available without cost, allowing users to self-host and utilize the platform without subscription fees.
+What are the main features of open-webui?
Open WebUI offers multi-model chat, a built-in Retrieval Augmented Generation (RAG) engine supporting 9 vector databases, direct execution of LLM-generated Python code, image generation integrations, multi-user management with RBAC, real-time web search, and voice interaction capabilities. It also includes a 'Skills' system and an analytics dashboard.
+Who should use open-webui?
Open WebUI is suitable for individuals and AI hobbyists seeking private LLM interaction, engineering teams building custom AI solutions, enterprises requiring self-hosted platforms for data privacy and compliance (HIPAA, ISO 27001, SOC 2 alignment), and researchers utilizing RAG for document interaction and knowledge management.
+How does open-webui compare to alternatives?
Open WebUI differentiates itself from competitors like LobeChat by offering a robust built-in RAG engine and extensive multi-user features. Compared to AnythingLLM, Open WebUI provides a broader general AI chat interface. Unlike Jan, which offers a desktop application, Open WebUI primarily focuses on Docker-based self-hosting. Against LibreChat, Open WebUI highlights its integrated RAG and code execution, while LibreChat emphasizes customization and advanced agent features.