refac

Author: tjbck

docs/alternatives/anythingllm.mdx

@@ -15,7 +15,7 @@ import Head from '@docusaurus/Head';
 
 # Open WebUI & AnythingLLM
 
-*Last updated: May 2026*
+*Last updated: August 2026*
 
 [AnythingLLM](https://anythingllm.com/) by Mintplex Labs is one of our favorite projects in the local AI space. They've made private document Q&A genuinely accessible, the workspace-based approach to organizing knowledge is intuitive, and the team behind it is great. If you're looking for a straightforward way to chat with your documents locally, AnythingLLM is well worth a look.
 

docs/alternatives/chatgpt.mdx

@@ -15,7 +15,7 @@ import Head from '@docusaurus/Head';
 
 # Open WebUI & ChatGPT
 
-*Last updated: May 2026*
+*Last updated: August 2026*
 
 [ChatGPT](https://chat.openai.com/) by OpenAI brought modern AI into everyday life for hundreds of millions of people and set the bar for what a conversational AI experience should feel like. It changed how the world thinks about AI, and it continues to inspire us. We use it daily and learn from the work behind it: the research, engineering, design, safety work, infrastructure, product judgment, and support that make a product at this scale feel natural. GPT-5.6, the o-series reasoning models, and the constant pace of product innovation have kept ChatGPT at the forefront, and honestly, it keeps pushing us to make Open WebUI better too.
 

docs/alternatives/claude.mdx

@@ -15,7 +15,7 @@ import Head from '@docusaurus/Head';
 
 # Open WebUI & Claude
 
-*Last updated: May 2026*
+*Last updated: August 2026*
 
 [Claude](https://claude.ai/) by Anthropic has earned a loyal following for its strength in writing, reasoning, and long-context analysis, and we count ourselves among those fans. We use Claude daily. The extended thinking capabilities, massive context windows (up to 200k tokens), and Anthropic's focus on safety and helpfulness make it genuinely one of the best AI experiences available.
 

docs/alternatives/dify.mdx

@@ -15,7 +15,7 @@ import Head from '@docusaurus/Head';
 
 # Open WebUI & Dify
 
-*Last updated: May 2026*
+*Last updated: August 2026*
 
 [Dify](https://dify.ai/) by LangGenius takes a fundamentally different approach to AI tooling. Where many tools on this page focus on conversation, Dify focuses on *building*: visual workflow design, agent orchestration, prompt engineering, and deploying AI-powered applications. If you think of AI as a platform for building products, automations, and user-facing features, Dify is worth a serious look.
 

docs/alternatives/gemini.mdx

@@ -15,7 +15,7 @@ import Head from '@docusaurus/Head';
 
 # Open WebUI & Gemini
 
-*Last updated: May 2026*
+*Last updated: August 2026*
 
 [Gemini](https://gemini.google.com/) brings Google's AI research into a consumer product with strong multimodal capabilities (text, vision, audio, code), generous context windows, and natural integration with Google Workspace. Gemini 3.5 Pro is among the strongest models available for code and complex tasks.
 

docs/alternatives/index.mdx

@@ -79,4 +79,4 @@ Yes. Open WebUI runs on your own infrastructure via Docker, Kubernetes, pip, or
 **What models does Open WebUI support?**
 Open WebUI connects to any OpenAI-compatible API, plus native Ollama integration. This includes OpenAI, Anthropic, Google, Azure, AWS Bedrock, llama.cpp, LM Studio, and hundreds of other providers.
 
-*Last updated: May 2026*
+*Last updated: August 2026*

docs/alternatives/jan.mdx

@@ -15,7 +15,7 @@ import Head from '@docusaurus/Head';
 
 # Open WebUI & Jan
 
-*Last updated: May 2026*
+*Last updated: August 2026*
 
 [Jan](https://jan.ai/) by Homebrew (Menlo Research) is built on a clear vision: AI should run on your device, offline, completely under your control. The desktop app is clean, the model hub makes it easy to get started, and the commitment to privacy is genuine.
 

docs/alternatives/librechat.mdx

@@ -15,7 +15,7 @@ import Head from '@docusaurus/Head';
 
 # Open WebUI & LibreChat
 
-*Last updated: May 2026*
+*Last updated: August 2026*
 
 [LibreChat](https://www.librechat.ai/) is one of the projects we genuinely respect in this space. It offers a multi-provider chat experience with strong authentication support, side-by-side model comparison, and a focused feature set that does the fundamentals well. The project is MIT-licensed, actively maintained, and Danny and the community behind it have built something solid.
 

docs/alternatives/llama-cpp.mdx

@@ -15,7 +15,7 @@ import Head from '@docusaurus/Head';
 
 # Open WebUI & llama.cpp
 
-*Last updated: May 2026*
+*Last updated: August 2026*
 
 [llama.cpp](https://github.com/ggml-org/llama.cpp) by Georgi Gerganov is one of the most important projects in the AI ecosystem, and we mean that. Without llama.cpp, the local AI movement as we know it wouldn't exist. It proved that you could run serious models on consumer hardware, introduced the GGUF format that became the industry standard, and inspired an entire generation of tools. And with `llama-server`, it's not just an engine anymore: it has its own built-in web interface and OpenAI-compatible API ready to go.
 

docs/alternatives/lm-studio.mdx

@@ -15,7 +15,7 @@ import Head from '@docusaurus/Head';
 
 # Open WebUI & LM Studio
 
-*Last updated: May 2026*
+*Last updated: August 2026*
 
 [LM Studio](https://lmstudio.ai/) has nailed the desktop experience for local AI. The built-in model browser makes discovering and downloading models from Hugging Face effortless, the inference performance is solid, and the UI is clean and intuitive. For anyone who wants to run local models without touching a terminal, LM Studio is a strong option.