Update README.md

README.md

@@ -27,13 +27,23 @@ For more information, be sure to check out our [Open WebUI Documentation](https:
 
 ## Key Features of Open WebUI ⭐
 
-- 🚀 **Effortless Setup**: Install seamlessly using Docker or Kubernetes (kubectl, kustomize, or helm) for a hassle-free experience, with support for both `:ollama` and `:cuda` tagged images.
+- 🚀 **Effortless Setup**: Install seamlessly via pip, uv, Docker, or Kubernetes (kubectl, kustomize, or helm) for a hassle-free experience — with `:ollama` and `:cuda` tagged images available for container deployments.
 
-- 🤝 **Broad Model & API Integration**: Connect any OpenAI-compatible API alongside local Ollama models. Point the API URL at **LMStudio, GroqCloud, Mistral, OpenRouter, and many more** to mix and match providers freely.
+- 🤝 **Broad Model & API Integration**: Connect any OpenAI Completions or Open Responses-compatible API alongside local Ollama models. Point the API URL at **LMStudio, GroqCloud, Mistral, OpenRouter, vLLM, and many more** to mix and match providers freely.
 
 - 🔐 **Granular RBAC & User Groups**: Administrators define detailed roles, groups, and permissions, giving each user exactly the access they should have — secure by default, with tailored experiences per group and admin-only rights for sensitive actions like model creation and pulling.
 
-- 🧩 **Plugin Support — Build Almost Anything**: Extend Open WebUI with native plugins, each specialized for its job: **Filters** to intercept and transform requests and responses, **Actions** to add custom buttons and interactive flows, **Pipes** to build entirely custom models and pipelines with custom logic, and **Tools** to give models real capabilities. With these building blocks you can create custom integrations, rate limits, human-in-the-loop approval popups, data connections, per-user usage budgets, custom interfaces, and much more. If you can imagine it, you can most likely build it.
+- 🧩 **Plugin Support — Build Almost Anything**: Extend Open WebUI with native plugins, each specialized for its job: **Filters** to intercept and transform requests and responses, **Actions** to add custom buttons and interactive flows, **Pipes** to build entirely custom models and pipelines with custom logic, and **Tools** to give models real capabilities. Connect external services through **MCP** (native Streamable HTTP for Model Context Protocol servers), **MCPO**, and **OpenAPI tool servers** (auto-discover tools from any OpenAPI-compatible endpoint). Add **Skills** (Markdown instruction sets that teach models how to approach tasks) and **Prompts** (slash-command templates with typed input variables and versioning). With these building blocks you can create custom integrations, rate limits, human-in-the-loop approval popups, data connections, per-user usage budgets, custom interfaces, and much more. If you can imagine it, you can most likely build it.
+
+- 🤖 **Models & Agents**: Wrap any base model with custom instructions, bound tools, and knowledge to build specialized agents — a "Code Reviewer" with your linting rules baked in, a "Meeting Summarizer" with your company's template, a "Python Tutor" that always uses your style guide. Each agent is a configuration preset (system prompt, tools, knowledge, and parameters in one package), with dynamic variables like `{{ USER_NAME }}` and `{{ CURRENT_DATE }}` injected automatically, per-user/group access control, and global defaults across all models. Build characters and import community presets through [Open WebUI Community](https://openwebui.com/) integration.
+
+- 📝 **Notes**: A dedicated workspace for content that lives outside any single conversation — draft with a rich Markdown/Rich-Text editor and floating formatting toolbar, use AI to rewrite or improve selected text in place, and attach notes to any chat for full-fidelity context injection (no chunking, no vector search). Models can search, read, and update notes autonomously.
+
+- 📢 **Channels**: Real-time shared spaces where your team and AI models think together in one timeline. Tag `@gpt-4o` to draft a plan, then tag `@claude` to critique it — everyone sees both responses. Includes threads, reactions, and pins, public/private/group/DM channels with access control, and AI that can search and synthesize across channels autonomously.
+
+- 🧠 **Persistent Memory**: The AI remembers facts about you across conversations, carrying context from one chat to the next.
+
+- ⏱️ **Automations & Scheduled Prompts**: Schedule prompts to run automatically on recurring schedules, and let models maintain structured task lists to work through multi-step workflows.
 
 - 📱 **Responsive Design & PWA**: Enjoy a seamless experience across desktop, laptop, and mobile, with a Progressive Web App that delivers a native app-like feel and offline access on localhost.
 
@@ -41,11 +51,9 @@ For more information, be sure to check out our [Open WebUI Documentation](https:
 
 - 🎤📹 **Hands-Free Voice/Video Call**: Communicate seamlessly with integrated voice and video calls, using multiple Speech-to-Text providers (Local Whisper, OpenAI, Deepgram, Azure) and Text-to-Speech engines (Azure, ElevenLabs, OpenAI, Transformers, WebAPI) for dynamic, interactive chats.
 
-- 🛠️ **Model Builder**: Easily create custom models in the Workspace — build characters and agents, customize chat elements, and import models effortlessly through [Open WebUI Community](https://openwebui.com/) integration.
-
 - 💾 **Persistent Artifact Storage**: Built-in key-value storage API for artifacts, enabling journals, trackers, leaderboards, and collaborative tools with both personal and shared data scopes across sessions.
 
-- 📚 **Local RAG Integration**: Bring Retrieval Augmented Generation right into your chats, backed by your choice of 9 vector databases and multiple content-extraction engines (Tika, Docling, Document Intelligence, Mistral OCR, PaddleOCR-vl, external loaders). Load documents directly into chat or add files to your library and pull them in with the `#` command before a query.
+- 📚 **Local RAG Integration**: Bring Retrieval Augmented Generation right into your chats, backed by your choice of 9 vector databases and multiple content-extraction engines (Tika, Docling, Document Intelligence, Mistral OCR, PaddleOCR-vl, external loaders). Use hybrid search (BM25 + vector) with cross-encoder reranking for precision, or full-context mode to inject entire documents with no chunking. Load documents directly into chat or add files to your library and pull them in with the `#` command before a query — and keep those libraries continuously synced from 45+ external sources with **oikb** (see the Ecosystem section below).
 
 - 🔍 **Web Search for RAG**: Search the web through dozens of providers — `SearXNG`, `Brave Search`, `Kagi`, `Mojeek`, `Tavily`, `Perplexity`, `Firecrawl`, `serpstack`, `serper`, `Serply`, `DuckDuckGo`, `SearchApi`, `SerpApi`, `Bing`, `Jina`, `Exa`, `Sougou`, `Azure AI Search`, `Ollama Cloud`, and more — injecting results directly into the conversation.
 
@@ -55,6 +63,8 @@ For more information, be sure to check out our [Open WebUI Documentation](https:
 
 - ⚙️ **Multi-Model Conversations**: Engage several models at once, harnessing their individual strengths in parallel for the best possible responses.
 
+- 📊 **Usage Analytics & Model Evaluation**: Built-in admin dashboards track message volume, token consumption, and cost across users and models. Evaluate models head-to-head with a built-in arena, A/B testing, and ELO-based leaderboards to find what works best for your team.
+
 - 🗄️ **Flexible Database & Storage**: Choose SQLite (with optional encryption) or PostgreSQL for your database, and store files locally or on S3, Google Cloud Storage, or Azure Blob Storage for scalable deployments.
 
 - 🔍 **Advanced Vector Database Support**: Pick from 9 vector databases — ChromaDB, PGVector, Qdrant, Milvus, Elasticsearch, OpenSearch, Pinecone, S3Vector, and Oracle 23ai — to tune RAG performance to your stack.
@@ -71,8 +81,28 @@ For more information, be sure to check out our [Open WebUI Documentation](https:
 
 - 🌟 **Continuous Updates**: We're committed to improving Open WebUI with regular updates, fixes, and new features.
 
+- 🛡️ **Transparent Security Process**: Security reports are triaged, fixed, and published as open advisories through a documented responsible-disclosure process — see our [Security Policy](https://github.com/open-webui/open-webui/security).
+
 Want to learn more about Open WebUI's features? Check out our [Open WebUI documentation](https://docs.openwebui.com/features) for a comprehensive overview!
 
+## The Open WebUI Ecosystem 🌐
+
+Open WebUI is the core, surrounded by companion apps and infrastructure that extend what your AI can do, what it can reach, and where you run it:
+
+- ⚡ **Open Terminal — Give Your AI a Real Computer** — [open-webui/open-terminal](https://github.com/open-webui/open-terminal): A self-hosted computing environment that plugs directly into Open WebUI, giving the AI a place to write code, run it, read the output, fix errors, and iterate — all inside the chat. Analyze spreadsheets and PDFs, build and live-preview websites, clone repos and run tests, automate file and system tasks. Run it sandboxed in Docker or bare-metal for full machine access, with a built-in file browser sidebar in Open WebUI.
+
+- 🔐 **Terminals — Per-User Container Orchestration** **· Enterprise** — [open-webui/terminals](https://github.com/open-webui/terminals): Run Open Terminal safely for a whole team. Every user gets their own fully isolated container — separate credentials, resource limits, and network rules — with automatic lifecycle management (spin-up on connect, proxying, limit enforcement, cleanup). Define policy-based environments on Docker or Kubernetes. Per-user isolation makes this the production-grade, hardened way to run Open Terminal for a team.
+> [!IMPORTANT]
+> Production use requires an **Open WebUI Enterprise License with Terminals access**. [Contact the Open WebUI team](https://docs.openwebui.com/enterprise) to get started.
+
+- 💻 **cptr — Talk to Your Computer From Anywhere** — [open-webui/computer](https://github.com/open-webui/computer): A standalone, mobile-first computer and coding agent that runs on the machine you own — files, terminal, and git in a browser tab, reachable from your phone. Connect it into Open WebUI as a model and chat with your own computer directly, or reach it from Telegram, WhatsApp, and more — control your machine and ship from anywhere.
+
+- 🔄 **oikb — Connect Everything** — [open-webui/oikb](https://github.com/open-webui/oikb): Feed your Knowledge Bases from 45+ sources — GitHub, Confluence, ServiceNow, Salesforce, Jira, Slack, SharePoint, Notion, and many more — keeping the tools your team already uses continuously in sync with Open WebUI.
+
+- 🖥️ **Native Desktop App** — [open-webui/desktop](https://github.com/open-webui/desktop): Run Open WebUI as a native app on macOS, Windows, and Linux — no Docker, no terminal, just download and launch. System-wide Spotlight chat bar with screenshot capture, push-to-talk voice from any app, and optional fully-local inference via a built-in llama.cpp engine.
+
+Want to learn more about Open WebUI's Ecosystem? Check out our [Open WebUI documentation](https://docs.openwebui.com) for more details!
+
 ---
 
 We are incredibly grateful for the generous support of our sponsors. Their contributions help us to maintain and improve our project, ensuring we can continue to deliver quality work to our community. Thank you!