scripts: skip macOS symlink creation if already correct (#14142)

* win: progress reporting on install download

Downloading Ollama...
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* review comments

README.md

@@ -1,20 +1,30 @@
-<div align="center">
-  <a href="https://ollama.com">
-    <img alt="ollama" width="240" src="https://github.com/ollama/ollama/assets/3325447/0d0b44e2-8f4a-4e99-9b52-a5c1c741c8f7">
+<p align="center">
+  <a href="https://ollama.com">
+    <img src="https://github.com/ollama/ollama/assets/3325447/0d0b44e2-8f4a-4e99-9b52-a5c1c741c8f7" alt="ollama" width="200"/>
   </a>
-</div>
+</p>
 
 # Ollama
 
-Get up and running with large language models.
+Start building with open models.
+
+## Download
 
 ### macOS
 
-[Download](https://ollama.com/download/Ollama.dmg)
+```shell
+curl -fsSL https://ollama.com/install.sh | sh
+```
+
+or [download manually](http://localhost:8080/download/Ollama.dmg)
 
 ### Windows
 
-[Download](https://ollama.com/download/OllamaSetup.exe)
+```shell
+irm https://ollama.com/install.ps1 | iex
+```
+
+or [download manually](https://ollama.com/download/OllamaSetup.exe)
 
 ### Linux
 
@@ -36,649 +46,311 @@ The official [Ollama Docker image](https://hub.docker.com/r/ollama/ollama) `olla
 ### Community
 
 - [Discord](https://discord.gg/ollama)
+- [𝕏 (Twitter)](https://x.com/ollama)
 - [Reddit](https://reddit.com/r/ollama)
 
-## Quickstart
+## Get started
 
-To run and chat with [Gemma 3](https://ollama.com/library/gemma3):
+```
+ollama
+```
 
-```shell
+You'll be prompted to run a model or connect Ollama to your existing agents or applications such as `claude`, `codex`, `openclaw` and more.
+
+### Coding
+
+To launch a specific integration:
+
+```
+ollama launch claude
+```
+
+Supported integrations include [Claude Code](https://docs.ollama.com/integrations/claude-code), [Codex](https://docs.ollama.com/integrations/codex), [Droid](https://docs.ollama.com/integrations/droid), and [OpenCode](https://docs.ollama.com/integrations/opencode).
+
+### AI assistant
+
+Use [OpenClaw](https://docs.ollama.com/integrations/openclaw) to turn Ollama into a personal AI assistant across WhatsApp, Telegram, Slack, Discord, and more:
+
+```
+ollama launch openclaw
+```
+
+### Chat with a model
+
+Run and chat with [Gemma 3](https://ollama.com/library/gemma3):
+
+```
 ollama run gemma3
 ```
 
-## Model library
+See [ollama.com/library](https://ollama.com/library) for the full list.
 
-Ollama supports a list of models available on [ollama.com/library](https://ollama.com/library "ollama model library")
-
-Here are some example models that can be downloaded:
-
-| Model              | Parameters | Size  | Download                         |
-| ------------------ | ---------- | ----- | -------------------------------- |
-| Gemma 3            | 1B         | 815MB | `ollama run gemma3:1b`           |
-| Gemma 3            | 4B         | 3.3GB | `ollama run gemma3`              |
-| Gemma 3            | 12B        | 8.1GB | `ollama run gemma3:12b`          |
-| Gemma 3            | 27B        | 17GB  | `ollama run gemma3:27b`          |
-| QwQ                | 32B        | 20GB  | `ollama run qwq`                 |
-| DeepSeek-R1        | 7B         | 4.7GB | `ollama run deepseek-r1`         |
-| DeepSeek-R1        | 671B       | 404GB | `ollama run deepseek-r1:671b`    |
-| Llama 4            | 109B       | 67GB  | `ollama run llama4:scout`        |
-| Llama 4            | 400B       | 245GB | `ollama run llama4:maverick`     |
-| Llama 3.3          | 70B        | 43GB  | `ollama run llama3.3`            |
-| Llama 3.2          | 3B         | 2.0GB | `ollama run llama3.2`            |
-| Llama 3.2          | 1B         | 1.3GB | `ollama run llama3.2:1b`         |
-| Llama 3.2 Vision   | 11B        | 7.9GB | `ollama run llama3.2-vision`     |
-| Llama 3.2 Vision   | 90B        | 55GB  | `ollama run llama3.2-vision:90b` |
-| Llama 3.1          | 8B         | 4.7GB | `ollama run llama3.1`            |
-| Llama 3.1          | 405B       | 231GB | `ollama run llama3.1:405b`       |
-| Phi 4              | 14B        | 9.1GB | `ollama run phi4`                |
-| Phi 4 Mini         | 3.8B       | 2.5GB | `ollama run phi4-mini`           |
-| Mistral            | 7B         | 4.1GB | `ollama run mistral`             |
-| Moondream 2        | 1.4B       | 829MB | `ollama run moondream`           |
-| Neural Chat        | 7B         | 4.1GB | `ollama run neural-chat`         |
-| Starling           | 7B         | 4.1GB | `ollama run starling-lm`         |
-| Code Llama         | 7B         | 3.8GB | `ollama run codellama`           |
-| Llama 2 Uncensored | 7B         | 3.8GB | `ollama run llama2-uncensored`   |
-| LLaVA              | 7B         | 4.5GB | `ollama run llava`               |
-| Granite-3.3        | 8B         | 4.9GB | `ollama run granite3.3`          |
-
-> [!NOTE]
-> You should have at least 8 GB of RAM available to run the 7B models, 16 GB to run the 13B models, and 32 GB to run the 33B models.
-
-## Customize a model
-
-### Import from GGUF
-
-Ollama supports importing GGUF models in the Modelfile:
-
-1. Create a file named `Modelfile`, with a `FROM` instruction with the local filepath to the model you want to import.
-
-   ```
-   FROM ./vicuna-33b.Q4_0.gguf
-   ```
-
-2. Create the model in Ollama
-
-   ```shell
-   ollama create example -f Modelfile
-   ```
-
-3. Run the model
-
-   ```shell
-   ollama run example
-   ```
-
-### Import from Safetensors
-
-See the [guide](https://docs.ollama.com/import) on importing models for more information.
-
-### Customize a prompt
-
-Models from the Ollama library can be customized with a prompt. For example, to customize the `llama3.2` model:
-
-```shell
-ollama pull llama3.2
-```
-
-Create a `Modelfile`:
-
-```
-FROM llama3.2
-
-# set the temperature to 1 [higher is more creative, lower is more coherent]
-PARAMETER temperature 1
-
-# set the system message
-SYSTEM """
-You are Mario from Super Mario Bros. Answer as Mario, the assistant, only.
-"""
-```
-
-Next, create and run the model:
-
-```
-ollama create mario -f ./Modelfile
-ollama run mario
->>> hi
-Hello! It's your friend Mario.
-```
-
-For more information on working with a Modelfile, see the [Modelfile](https://docs.ollama.com/modelfile) documentation.
-
-## CLI Reference
-
-### Create a model
-
-`ollama create` is used to create a model from a Modelfile.
-
-```shell
-ollama create mymodel -f ./Modelfile
-```
-
-### Pull a model
-
-```shell
-ollama pull llama3.2
-```
-
-> This command can also be used to update a local model. Only the diff will be pulled.
-
-### Remove a model
-
-```shell
-ollama rm llama3.2
-```
-
-### Copy a model
-
-```shell
-ollama cp llama3.2 my-model
-```
-
-### Multiline input
-
-For multiline input, you can wrap text with `"""`:
-
-```
->>> """Hello,
-... world!
-... """
-I'm a basic program that prints the famous "Hello, world!" message to the console.
-```
-
-### Multimodal models
-
-```
-ollama run llava "What's in this image? /Users/jmorgan/Desktop/smile.png"
-```
-
-> **Output**: The image features a yellow smiley face, which is likely the central focus of the picture.
-
-### Pass the prompt as an argument
-
-```shell
-ollama run llama3.2 "Summarize this file: $(cat README.md)"
-```
-
-> **Output**: Ollama is a lightweight, extensible framework for building and running language models on the local machine. It provides a simple API for creating, running, and managing models, as well as a library of pre-built models that can be easily used in a variety of applications.
-
-### Show model information
-
-```shell
-ollama show llama3.2
-```
-
-### List models on your computer
-
-```shell
-ollama list
-```
-
-### List which models are currently loaded
-
-```shell
-ollama ps
-```
-
-### Stop a model which is currently running
-
-```shell
-ollama stop llama3.2
-```
-
-### Generate embeddings from the CLI
-
-```shell
-ollama run embeddinggemma "Your text to embed"
-```
-
-You can also pipe text for scripted workflows:
-
-```shell
-echo "Your text to embed" | ollama run embeddinggemma
-```
-
-### Start Ollama
-
-`ollama serve` is used when you want to start ollama without running the desktop application.
-
-## Building
-
-See the [developer guide](https://github.com/ollama/ollama/blob/main/docs/development.md)
-
-### Running local builds
-
-Next, start the server:
-
-```shell
-./ollama serve
-```
-
-Finally, in a separate shell, run a model:
-
-```shell
-./ollama run llama3.2
-```
-
-## Building with MLX (experimental)
-
-First build the MLX libraries:
-
-```shell
-cmake --preset MLX
-cmake --build --preset MLX --parallel
-cmake --install build --component MLX
-```
-
-When building with the `-tags mlx` flag, the main `ollama` binary includes MLX support for experimental features like image generation:
-
-```shell
-go build -tags mlx .
-```
-
-Finally, start the server:
-
-```
-./ollama serve
-```
-
-### Building MLX with CUDA
-
-When building with CUDA, use the preset "MLX CUDA 13" or "MLX CUDA 12" to enable CUDA with default architectures:
-
-```shell
-cmake --preset 'MLX CUDA 13'
-cmake --build --preset 'MLX CUDA 13' --parallel
-cmake --install build --component MLX
-```
+See the [quickstart guide](https://docs.ollama.com/quickstart) for more details.
 
 ## REST API
 
 Ollama has a REST API for running and managing models.
 
-### Generate a response
-
-```shell
-curl http://localhost:11434/api/generate -d '{
-  "model": "llama3.2",
-  "prompt":"Why is the sky blue?"
-}'
 ```
-
-### Chat with a model
-
-```shell
 curl http://localhost:11434/api/chat -d '{
-  "model": "llama3.2",
-  "messages": [
-    { "role": "user", "content": "why is the sky blue?" }
-  ]
+  "model": "gemma3",
+  "messages": [{
+    "role": "user",
+    "content": "Why is the sky blue?"
+  }],
+  "stream": false
 }'
 ```
 
-See the [API documentation](./docs/api.md) for all endpoints.
+See the [API documentation](https://docs.ollama.com/api) for all endpoints.
+
+### Python
+
+```
+pip install ollama
+```
+
+```python
+from ollama import chat
+
+response = chat(model='gemma3', messages=[
+  {
+    'role': 'user',
+    'content': 'Why is the sky blue?',
+  },
+])
+print(response.message.content)
+```
+
+### JavaScript
+
+```
+npm i ollama
+```
+
+```javascript
+import ollama from "ollama";
+
+const response = await ollama.chat({
+  model: "gemma3",
+  messages: [{ role: "user", content: "Why is the sky blue?" }],
+});
+console.log(response.message.content);
+```
+
+## Supported backends
+
+- [llama.cpp](https://github.com/ggml-org/llama.cpp) project founded by Georgi Gerganov.
+
+## Documentation
+
+- [CLI reference](https://docs.ollama.com/cli)
+- [REST API reference](https://docs.ollama.com/api)
+- [Importing models](https://docs.ollama.com/import)
+- [Modelfile reference](https://docs.ollama.com/modelfile)
+- [Building from source](https://github.com/ollama/ollama/blob/main/docs/development.md)
 
 ## Community Integrations
 
-### Web & Desktop
+> Want to add your project? Open a pull request.
 
-- [Onyx](https://github.com/onyx-dot-app/onyx)
-- [Open WebUI](https://github.com/open-webui/open-webui)
-- [SwiftChat (macOS with ReactNative)](https://github.com/aws-samples/swift-chat)
-- [Enchanted (macOS native)](https://github.com/AugustDev/enchanted)
-- [Hollama](https://github.com/fmaclen/hollama)
-- [Lollms WebUI (Single user)](https://github.com/ParisNeo/lollms-webui)
-- [Lollms (Multi users)](https://github.com/ParisNeo/lollms)
-- [LibreChat](https://github.com/danny-avila/LibreChat)
-- [Bionic GPT](https://github.com/bionic-gpt/bionic-gpt)
-- [HTML UI](https://github.com/rtcfirefly/ollama-ui)
-- [AI-UI](https://github.com/bajahaw/ai-ui)
-- [Saddle](https://github.com/jikkuatwork/saddle)
-- [TagSpaces](https://www.tagspaces.org) (A platform for file-based apps, [utilizing Ollama](https://docs.tagspaces.org/ai/) for the generation of tags and descriptions)
-- [Chatbot UI](https://github.com/ivanfioravanti/chatbot-ollama)
-- [Chatbot UI v2](https://github.com/mckaywrigley/chatbot-ui)
-- [Typescript UI](https://github.com/ollama-interface/Ollama-Gui?tab=readme-ov-file)
-- [Minimalistic React UI for Ollama Models](https://github.com/richawo/minimal-llm-ui)
-- [Ollamac](https://github.com/kevinhermawan/Ollamac)
-- [big-AGI](https://github.com/enricoros/big-AGI)
-- [Cheshire Cat assistant framework](https://github.com/cheshire-cat-ai/core)
-- [Amica](https://github.com/semperai/amica)
-- [chatd](https://github.com/BruceMacD/chatd)
-- [Ollama-SwiftUI](https://github.com/kghandour/Ollama-SwiftUI)
-- [Dify.AI](https://github.com/langgenius/dify)
-- [MindMac](https://mindmac.app)
-- [NextJS Web Interface for Ollama](https://github.com/jakobhoeg/nextjs-ollama-llm-ui)
-- [Msty](https://msty.app)
-- [Chatbox](https://github.com/Bin-Huang/Chatbox)
-- [WinForm Ollama Copilot](https://github.com/tgraupmann/WinForm_Ollama_Copilot)
-- [NextChat](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web) with [Get Started Doc](https://docs.nextchat.dev/models/ollama)
-- [Alpaca WebUI](https://github.com/mmo80/alpaca-webui)
-- [OllamaGUI](https://github.com/enoch1118/ollamaGUI)
-- [OpenAOE](https://github.com/InternLM/OpenAOE)
-- [Odin Runes](https://github.com/leonid20000/OdinRunes)
-- [LLM-X](https://github.com/mrdjohnson/llm-x) (Progressive Web App)
-- [AnythingLLM (Docker + MacOs/Windows/Linux native app)](https://github.com/Mintplex-Labs/anything-llm)
-- [Screenpipe](https://github.com/mediar-ai/screenpipe) (24/7 screen & mic recording with AI-powered search, uses Ollama for local LLM features)
-- [Ollama Basic Chat: Uses HyperDiv Reactive UI](https://github.com/rapidarchitect/ollama_basic_chat)
-- [Ollama-chats RPG](https://github.com/drazdra/ollama-chats)
-- [IntelliBar](https://intellibar.app/) (AI-powered assistant for macOS)
-- [Jirapt](https://github.com/AliAhmedNada/jirapt) (Jira Integration to generate issues, tasks, epics)
-- [ojira](https://github.com/AliAhmedNada/ojira) (Jira chrome plugin to easily generate descriptions for tasks)
-- [QA-Pilot](https://github.com/reid41/QA-Pilot) (Interactive chat tool that can leverage Ollama models for rapid understanding and navigation of GitHub code repositories)
-- [ChatOllama](https://github.com/sugarforever/chat-ollama) (Open Source Chatbot based on Ollama with Knowledge Bases)
-- [CRAG Ollama Chat](https://github.com/Nagi-ovo/CRAG-Ollama-Chat) (Simple Web Search with Corrective RAG)
-- [RAGFlow](https://github.com/infiniflow/ragflow) (Open-source Retrieval-Augmented Generation engine based on deep document understanding)
-- [StreamDeploy](https://github.com/StreamDeploy-DevRel/streamdeploy-llm-app-scaffold) (LLM Application Scaffold)
-- [chat](https://github.com/swuecho/chat) (chat web app for teams)
-- [Lobe Chat](https://github.com/lobehub/lobe-chat) with [Integrating Doc](https://lobehub.com/docs/self-hosting/examples/ollama)
-- [Ollama RAG Chatbot](https://github.com/datvodinh/rag-chatbot.git) (Local Chat with multiple PDFs using Ollama and RAG)
-- [BrainSoup](https://www.nurgo-software.com/products/brainsoup) (Flexible native client with RAG & multi-agent automation)
-- [macai](https://github.com/Renset/macai) (macOS client for Ollama, ChatGPT, and other compatible API back-ends)
-- [RWKV-Runner](https://github.com/josStorer/RWKV-Runner) (RWKV offline LLM deployment tool, also usable as a client for ChatGPT and Ollama)
-- [Ollama Grid Search](https://github.com/dezoito/ollama-grid-search) (app to evaluate and compare models)
-- [Olpaka](https://github.com/Otacon/olpaka) (User-friendly Flutter Web App for Ollama)
-- [Casibase](https://casibase.org) (An open source AI knowledge base and dialogue system combining the latest RAG, SSO, ollama support, and multiple large language models.)
-- [OllamaSpring](https://github.com/CrazyNeil/OllamaSpring) (Ollama Client for macOS)
-- [LLocal.in](https://github.com/kartikm7/llocal) (Easy to use Electron Desktop Client for Ollama)
-- [Shinkai Desktop](https://github.com/dcSpark/shinkai-apps) (Two click install Local AI using Ollama + Files + RAG)
-- [AiLama](https://github.com/zeyoyt/ailama) (A Discord User App that allows you to interact with Ollama anywhere in Discord)
-- [Ollama with Google Mesop](https://github.com/rapidarchitect/ollama_mesop/) (Mesop Chat Client implementation with Ollama)
-- [R2R](https://github.com/SciPhi-AI/R2R) (Open-source RAG engine)
-- [Ollama-Kis](https://github.com/elearningshow/ollama-kis) (A simple easy-to-use GUI with sample custom LLM for Drivers Education)
-- [OpenGPA](https://opengpa.org) (Open-source offline-first Enterprise Agentic Application)
-- [Painting Droid](https://github.com/mateuszmigas/painting-droid) (Painting app with AI integrations)
-- [Kerlig AI](https://www.kerlig.com/) (AI writing assistant for macOS)
-- [AI Studio](https://github.com/MindWorkAI/AI-Studio)
-- [Sidellama](https://github.com/gyopak/sidellama) (browser-based LLM client)
-- [LLMStack](https://github.com/trypromptly/LLMStack) (No-code multi-agent framework to build LLM agents and workflows)
-- [BoltAI for Mac](https://boltai.com) (AI Chat Client for Mac)
-- [Harbor](https://github.com/av/harbor) (Containerized LLM Toolkit with Ollama as default backend)
-- [PyGPT](https://github.com/szczyglis-dev/py-gpt) (AI desktop assistant for Linux, Windows, and Mac)
-- [Alpaca](https://github.com/Jeffser/Alpaca) (An Ollama client application for Linux and macOS made with GTK4 and Adwaita)
-- [AutoGPT](https://github.com/Significant-Gravitas/AutoGPT/blob/master/docs/content/platform/ollama.md) (AutoGPT Ollama integration)
-- [Go-CREW](https://www.jonathanhecl.com/go-crew/) (Powerful Offline RAG in Golang)
-- [PartCAD](https://github.com/openvmp/partcad/) (CAD model generation with OpenSCAD and CadQuery)
-- [Ollama4j Web UI](https://github.com/ollama4j/ollama4j-web-ui) - Java-based Web UI for Ollama built with Vaadin, Spring Boot, and Ollama4j
-- [PyOllaMx](https://github.com/kspviswa/pyOllaMx) - macOS application capable of chatting with both Ollama and Apple MLX models.
-- [Cline](https://github.com/cline/cline) - Formerly known as Claude Dev is a VS Code extension for multi-file/whole-repo coding
-- [Void](https://github.com/voideditor/void) (Open source AI code editor and Cursor alternative)
-- [Cherry Studio](https://github.com/kangfenmao/cherry-studio) (Desktop client with Ollama support)
-- [ConfiChat](https://github.com/1runeberg/confichat) (Lightweight, standalone, multi-platform, and privacy-focused LLM chat interface with optional encryption)
-- [Archyve](https://github.com/nickthecook/archyve) (RAG-enabling document library)
-- [crewAI with Mesop](https://github.com/rapidarchitect/ollama-crew-mesop) (Mesop Web Interface to run crewAI with Ollama)
-- [Tkinter-based client](https://github.com/chyok/ollama-gui) (Python tkinter-based Client for Ollama)
-- [LLMChat](https://github.com/trendy-design/llmchat) (Privacy focused, 100% local, intuitive all-in-one chat interface)
-- [Local Multimodal AI Chat](https://github.com/Leon-Sander/Local-Multimodal-AI-Chat) (Ollama-based LLM Chat with support for multiple features, including PDF RAG, voice chat, image-based interactions, and integration with OpenAI.)
-- [ARGO](https://github.com/xark-argo/argo) (Locally download and run Ollama and Huggingface models with RAG and deep research on Mac/Windows/Linux)
-- [OrionChat](https://github.com/EliasPereirah/OrionChat) - OrionChat is a web interface for chatting with different AI providers
-- [G1](https://github.com/bklieger-groq/g1) (Prototype of using prompting strategies to improve the LLM's reasoning through o1-like reasoning chains.)
-- [Web management](https://github.com/lemonit-eric-mao/ollama-web-management) (Web management page)
-- [Promptery](https://github.com/promptery/promptery) (desktop client for Ollama.)
-- [Ollama App](https://github.com/JHubi1/ollama-app) (Modern and easy-to-use multi-platform client for Ollama)
-- [chat-ollama](https://github.com/annilq/chat-ollama) (a React Native client for Ollama)
-- [SpaceLlama](https://github.com/tcsenpai/spacellama) (Firefox and Chrome extension to quickly summarize web pages with ollama in a sidebar)
-- [YouLama](https://github.com/tcsenpai/youlama) (Webapp to quickly summarize any YouTube video, supporting Invidious as well)
-- [DualMind](https://github.com/tcsenpai/dualmind) (Experimental app allowing two models to talk to each other in the terminal or in a web interface)
-- [ollamarama-matrix](https://github.com/h1ddenpr0cess20/ollamarama-matrix) (Ollama chatbot for the Matrix chat protocol)
-- [ollama-chat-app](https://github.com/anan1213095357/ollama-chat-app) (Flutter-based chat app)
-- [Perfect Memory AI](https://www.perfectmemory.ai/) (Productivity AI assists personalized by what you have seen on your screen, heard, and said in the meetings)
-- [Hexabot](https://github.com/hexastack/hexabot) (A conversational AI builder)
-- [Reddit Rate](https://github.com/rapidarchitect/reddit_analyzer) (Search and Rate Reddit topics with a weighted summation)
-- [OpenTalkGpt](https://github.com/adarshM84/OpenTalkGpt) (Chrome Extension to manage open-source models supported by Ollama, create custom models, and chat with models from a user-friendly UI)
-- [VT](https://github.com/vinhnx/vt.ai) (A minimal multimodal AI chat app, with dynamic conversation routing. Supports local models via Ollama)
-- [Nosia](https://github.com/nosia-ai/nosia) (Easy to install and use RAG platform based on Ollama)
-- [Witsy](https://github.com/nbonamy/witsy) (An AI Desktop application available for Mac/Windows/Linux)
-- [Abbey](https://github.com/US-Artificial-Intelligence/abbey) (A configurable AI interface server with notebooks, document storage, and YouTube support)
-- [Minima](https://github.com/dmayboroda/minima) (RAG with on-premises or fully local workflow)
-- [aidful-ollama-model-delete](https://github.com/AidfulAI/aidful-ollama-model-delete) (User interface for simplified model cleanup)
-- [Perplexica](https://github.com/ItzCrazyKns/Perplexica) (An AI-powered search engine & an open-source alternative to Perplexity AI)
-- [Ollama Chat WebUI for Docker ](https://github.com/oslook/ollama-webui) (Support for local docker deployment, lightweight ollama webui)
-- [AI Toolkit for Visual Studio Code](https://aka.ms/ai-tooklit/ollama-docs) (Microsoft-official VS Code extension to chat, test, evaluate models with Ollama support, and use them in your AI applications.)
-- [MinimalNextOllamaChat](https://github.com/anilkay/MinimalNextOllamaChat) (Minimal Web UI for Chat and Model Control)
-- [Chipper](https://github.com/TilmanGriesel/chipper) AI interface for tinkerers (Ollama, Haystack RAG, Python)
-- [ChibiChat](https://github.com/CosmicEventHorizon/ChibiChat) (Kotlin-based Android app to chat with Ollama and Koboldcpp API endpoints)
-- [LocalLLM](https://github.com/qusaismael/localllm) (Minimal Web-App to run ollama models on it with a GUI)
-- [Ollamazing](https://github.com/buiducnhat/ollamazing) (Web extension to run Ollama models)
-- [OpenDeepResearcher-via-searxng](https://github.com/benhaotang/OpenDeepResearcher-via-searxng) (A Deep Research equivalent endpoint with Ollama support for running locally)
-- [AntSK](https://github.com/AIDotNet/AntSK) (Out-of-the-box & Adaptable RAG Chatbot)
-- [MaxKB](https://github.com/1Panel-dev/MaxKB/) (Ready-to-use & flexible RAG Chatbot)
-- [yla](https://github.com/danielekp/yla) (Web interface to freely interact with your customized models)
-- [LangBot](https://github.com/RockChinQ/LangBot) (LLM-based instant messaging bots platform, with Agents, RAG features, supports multiple platforms)
-- [1Panel](https://github.com/1Panel-dev/1Panel/) (Web-based Linux Server Management Tool)
-- [AstrBot](https://github.com/Soulter/AstrBot/) (User-friendly LLM-based multi-platform chatbot with a WebUI, supporting RAG, LLM agents, and plugins integration)
-- [Reins](https://github.com/ibrahimcetin/reins) (Easily tweak parameters, customize system prompts per chat, and enhance your AI experiments with reasoning model support.)
-- [Flufy](https://github.com/Aharon-Bensadoun/Flufy) (A beautiful chat interface for interacting with Ollama's API. Built with React, TypeScript, and Material-UI.)
-- [Ellama](https://github.com/zeozeozeo/ellama) (Friendly native app to chat with an Ollama instance)
-- [screenpipe](https://github.com/mediar-ai/screenpipe) Build agents powered by your screen history
-- [Ollamb](https://github.com/hengkysteen/ollamb) (Simple yet rich in features, cross-platform built with Flutter and designed for Ollama. Try the [web demo](https://hengkysteen.github.io/demo/ollamb/).)
-- [Writeopia](https://github.com/Writeopia/Writeopia) (Text editor with integration with Ollama)
-- [AppFlowy](https://github.com/AppFlowy-IO/AppFlowy) (AI collaborative workspace with Ollama, cross-platform and self-hostable)
-- [Lumina](https://github.com/cushydigit/lumina.git) (A lightweight, minimal React.js frontend for interacting with Ollama servers)
-- [Tiny Notepad](https://pypi.org/project/tiny-notepad) (A lightweight, notepad-like interface to chat with ollama available on PyPI)
-- [macLlama (macOS native)](https://github.com/hellotunamayo/macLlama) (A native macOS GUI application for interacting with Ollama models, featuring a chat interface.)
-- [GPTranslate](https://github.com/philberndt/GPTranslate) (A fast and lightweight, AI powered desktop translation application written with Rust and Tauri. Features real-time translation with OpenAI/Azure/Ollama.)
-- [ollama launcher](https://github.com/NGC13009/ollama-launcher) (A launcher for Ollama, aiming to provide users with convenient functions such as ollama server launching, management, or configuration.)
-- [ai-hub](https://github.com/Aj-Seven/ai-hub) (AI Hub supports multiple models via API keys and Chat support via Ollama API.)
-- [Mayan EDMS](https://gitlab.com/mayan-edms/mayan-edms) (Open source document management system to organize, tag, search, and automate your files with powerful Ollama driven workflows.)
-- [Serene Pub](https://github.com/doolijb/serene-pub) (Beginner friendly, open source AI Roleplaying App for Windows, Mac OS and Linux. Search, download and use models with Ollama all inside the app.)
-- [Andes](https://github.com/aqerd/andes) (A Visual Studio Code extension that provides a local UI interface for Ollama models)
-- [KDeps](https://github.com/kdeps/kdeps) (Kdeps is an offline-first AI framework for building Dockerized full-stack AI applications declaratively using Apple PKL and integrates APIs with Ollama on the backend.)
-- [Clueless](https://github.com/KashyapTan/clueless) (Open Source & Local Cluely: A desktop application LLM assistant to help you talk to anything on your screen using locally served Ollama models. Also undetectable to screenshare)
-- [ollama-co2](https://github.com/carbonatedWaterOrg/ollama-co2) (FastAPI web interface for monitoring and managing local and remote Ollama servers with real-time model monitoring and concurrent downloads)
-- [Hillnote](https://hillnote.com) (A Markdown-first workspace designed to supercharge your AI workflow. Create documents ready to integrate with Claude, ChatGPT, Gemini, Cursor, and more - all while keeping your work on your device.)
-- [Stakpak](https://github.com/stakpak/agent) (An open source, vendor neutral DevOps agent that works with any model, and any stack, for teams who just want to ship)
+### Chat Interfaces
 
-### Cloud
+#### Web
+
+- [Open WebUI](https://github.com/open-webui/open-webui) - Extensible, self-hosted AI interface
+- [Onyx](https://github.com/onyx-dot-app/onyx) - Connected AI workspace
+- [LibreChat](https://github.com/danny-avila/LibreChat) - Enhanced ChatGPT clone with multi-provider support
+- [Lobe Chat](https://github.com/lobehub/lobe-chat) - Modern chat framework with plugin ecosystem ([docs](https://lobehub.com/docs/self-hosting/examples/ollama))
+- [NextChat](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web) - Cross-platform ChatGPT UI ([docs](https://docs.nextchat.dev/models/ollama))
+- [Perplexica](https://github.com/ItzCrazyKns/Perplexica) - AI-powered search engine, open-source Perplexity alternative
+- [big-AGI](https://github.com/enricoros/big-AGI) - AI suite for professionals
+- [Lollms WebUI](https://github.com/ParisNeo/lollms-webui) - Multi-model web interface
+- [ChatOllama](https://github.com/sugarforever/chat-ollama) - Chatbot with knowledge bases
+- [Bionic GPT](https://github.com/bionic-gpt/bionic-gpt) - On-premise AI platform
+- [Chatbot UI](https://github.com/ivanfioravanti/chatbot-ollama) - ChatGPT-style web interface
+- [Hollama](https://github.com/fmaclen/hollama) - Minimal web interface
+- [Chatbox](https://github.com/Bin-Huang/Chatbox) - Desktop and web AI client
+- [chat](https://github.com/swuecho/chat) - Chat web app for teams
+- [Ollama RAG Chatbot](https://github.com/datvodinh/rag-chatbot.git) - Chat with multiple PDFs using RAG
+- [Tkinter-based client](https://github.com/chyok/ollama-gui) - Python desktop client
+
+#### Desktop
+
+- [Dify.AI](https://github.com/langgenius/dify) - LLM app development platform
+- [AnythingLLM](https://github.com/Mintplex-Labs/anything-llm) - All-in-one AI app for Mac, Windows, and Linux
+- [Maid](https://github.com/Mobile-Artificial-Intelligence/maid) - Cross-platform mobile and desktop client
+- [Witsy](https://github.com/nbonamy/witsy) - AI desktop app for Mac, Windows, and Linux
+- [Cherry Studio](https://github.com/kangfenmao/cherry-studio) - Multi-provider desktop client
+- [Ollama App](https://github.com/JHubi1/ollama-app) - Multi-platform client for desktop and mobile
+- [PyGPT](https://github.com/szczyglis-dev/py-gpt) - AI desktop assistant for Linux, Windows, and Mac
+- [Alpaca](https://github.com/Jeffser/Alpaca) - GTK4 client for Linux and macOS
+- [SwiftChat](https://github.com/aws-samples/swift-chat) - Cross-platform including iOS, Android, and Apple Vision Pro
+- [Enchanted](https://github.com/AugustDev/enchanted) - Native macOS and iOS client
+- [RWKV-Runner](https://github.com/josStorer/RWKV-Runner) - Multi-model desktop runner
+- [Ollama Grid Search](https://github.com/dezoito/ollama-grid-search) - Evaluate and compare models
+- [macai](https://github.com/Renset/macai) - macOS client for Ollama and ChatGPT
+- [AI Studio](https://github.com/MindWorkAI/AI-Studio) - Multi-provider desktop IDE
+- [Reins](https://github.com/ibrahimcetin/reins) - Parameter tuning and reasoning model support
+- [ConfiChat](https://github.com/1runeberg/confichat) - Privacy-focused with optional encryption
+- [LLocal.in](https://github.com/kartikm7/llocal) - Electron desktop client
+- [MindMac](https://mindmac.app) - AI chat client for Mac
+- [Msty](https://msty.app) - Multi-model desktop client
+- [BoltAI for Mac](https://boltai.com) - AI chat client for Mac
+- [IntelliBar](https://intellibar.app/) - AI-powered assistant for macOS
+- [Kerlig AI](https://www.kerlig.com/) - AI writing assistant for macOS
+- [Hillnote](https://hillnote.com) - Markdown-first AI workspace
+- [Perfect Memory AI](https://www.perfectmemory.ai/) - Productivity AI personalized by screen and meeting history
+
+#### Mobile
+
+- [Ollama Android Chat](https://github.com/sunshine0523/OllamaServer) - One-click Ollama on Android
+
+> SwiftChat, Enchanted, Maid, Ollama App, Reins, and ConfiChat listed above also support mobile platforms.
+
+### Code Editors & Development
+
+- [Cline](https://github.com/cline/cline) - VS Code extension for multi-file/whole-repo coding
+- [Continue](https://github.com/continuedev/continue) - Open-source AI code assistant for any IDE
+- [Void](https://github.com/voideditor/void) - Open source AI code editor, Cursor alternative
+- [Copilot for Obsidian](https://github.com/logancyang/obsidian-copilot) - AI assistant for Obsidian
+- [twinny](https://github.com/rjmacarthy/twinny) - Copilot and Copilot chat alternative
+- [gptel Emacs client](https://github.com/karthink/gptel) - LLM client for Emacs
+- [Ollama Copilot](https://github.com/bernardo-bruning/ollama-copilot) - Use Ollama as GitHub Copilot
+- [Obsidian Local GPT](https://github.com/pfrankov/obsidian-local-gpt) - Local AI for Obsidian
+- [Ellama Emacs client](https://github.com/s-kostyaev/ellama) - LLM tool for Emacs
+- [orbiton](https://github.com/xyproto/orbiton) - Config-free text editor with Ollama tab completion
+- [AI ST Completion](https://github.com/yaroslavyaroslav/OpenAI-sublime-text) - Sublime Text 4 AI assistant
+- [VT Code](https://github.com/vinhnx/vtcode) - Rust-based terminal coding agent with Tree-sitter
+- [QodeAssist](https://github.com/Palm1r/QodeAssist) - AI coding assistant for Qt Creator
+- [AI Toolkit for VS Code](https://aka.ms/ai-tooklit/ollama-docs) - Microsoft-official VS Code extension
+- [Open Interpreter](https://docs.openinterpreter.com/language-model-setup/local-models/ollama) - Natural language interface for computers
+
+### Libraries & SDKs
+
+- [LiteLLM](https://github.com/BerriAI/litellm) - Unified API for 100+ LLM providers
+- [Semantic Kernel](https://github.com/microsoft/semantic-kernel/tree/main/python/semantic_kernel/connectors/ai/ollama) - Microsoft AI orchestration SDK
+- [LangChain4j](https://github.com/langchain4j/langchain4j) - Java LangChain ([example](https://github.com/langchain4j/langchain4j-examples/tree/main/ollama-examples/src/main/java))
+- [LangChainGo](https://github.com/tmc/langchaingo/) - Go LangChain ([example](https://github.com/tmc/langchaingo/tree/main/examples/ollama-completion-example))
+- [Spring AI](https://github.com/spring-projects/spring-ai) - Spring framework AI support ([docs](https://docs.spring.io/spring-ai/reference/api/chat/ollama-chat.html))
+- [LangChain](https://python.langchain.com/docs/integrations/chat/ollama/) and [LangChain.js](https://js.langchain.com/docs/integrations/chat/ollama/) with [example](https://js.langchain.com/docs/tutorials/local_rag/)
+- [Ollama for Ruby](https://github.com/crmne/ruby_llm) - Ruby LLM library
+- [any-llm](https://github.com/mozilla-ai/any-llm) - Unified LLM interface by Mozilla
+- [OllamaSharp for .NET](https://github.com/awaescher/OllamaSharp) - .NET SDK
+- [LangChainRust](https://github.com/Abraxas-365/langchain-rust) - Rust LangChain ([example](https://github.com/Abraxas-365/langchain-rust/blob/main/examples/llm_ollama.rs))
+- [Agents-Flex for Java](https://github.com/agents-flex/agents-flex) - Java agent framework ([example](https://github.com/agents-flex/agents-flex/tree/main/agents-flex-llm/agents-flex-llm-ollama/src/test/java/com/agentsflex/llm/ollama))
+- [Elixir LangChain](https://github.com/brainlid/langchain) - Elixir LangChain
+- [Ollama-rs for Rust](https://github.com/pepperoni21/ollama-rs) - Rust SDK
+- [LangChain for .NET](https://github.com/tryAGI/LangChain) - .NET LangChain ([example](https://github.com/tryAGI/LangChain/blob/main/examples/LangChain.Samples.OpenAI/Program.cs))
+- [chromem-go](https://github.com/philippgille/chromem-go) - Go vector database with Ollama embeddings ([example](https://github.com/philippgille/chromem-go/tree/v0.5.0/examples/rag-wikipedia-ollama))
+- [LangChainDart](https://github.com/davidmigloz/langchain_dart) - Dart LangChain
+- [LlmTornado](https://github.com/lofcz/llmtornado) - Unified C# interface for multiple inference APIs
+- [Ollama4j for Java](https://github.com/ollama4j/ollama4j) - Java SDK
+- [Ollama for Laravel](https://github.com/cloudstudio/ollama-laravel) - Laravel integration
+- [Ollama for Swift](https://github.com/mattt/ollama-swift) - Swift SDK
+- [LlamaIndex](https://docs.llamaindex.ai/en/stable/examples/llm/ollama/) and [LlamaIndexTS](https://ts.llamaindex.ai/modules/llms/available_llms/ollama) - Data framework for LLM apps
+- [Haystack](https://github.com/deepset-ai/haystack-integrations/blob/main/integrations/ollama.md) - AI pipeline framework
+- [Firebase Genkit](https://firebase.google.com/docs/genkit/plugins/ollama) - Google AI framework
+- [Ollama-hpp for C++](https://github.com/jmont-dev/ollama-hpp) - C++ SDK
+- [PromptingTools.jl](https://github.com/svilupp/PromptingTools.jl) - Julia LLM toolkit ([example](https://svilupp.github.io/PromptingTools.jl/dev/examples/working_with_ollama))
+- [Ollama for R - rollama](https://github.com/JBGruber/rollama) - R SDK
+- [Portkey](https://portkey.ai/docs/welcome/integration-guides/ollama) - AI gateway
+- [Testcontainers](https://testcontainers.com/modules/ollama/) - Container-based testing
+- [LLPhant](https://github.com/theodo-group/LLPhant?tab=readme-ov-file#ollama) - PHP AI framework
+
+### Frameworks & Agents
+
+- [AutoGPT](https://github.com/Significant-Gravitas/AutoGPT/blob/master/docs/content/platform/ollama.md) - Autonomous AI agent platform
+- [crewAI](https://github.com/crewAIInc/crewAI) - Multi-agent orchestration framework
+- [Strands Agents](https://github.com/strands-agents/sdk-python) - Model-driven agent building by AWS
+- [Cheshire Cat](https://github.com/cheshire-cat-ai/core) - AI assistant framework
+- [any-agent](https://github.com/mozilla-ai/any-agent) - Unified agent framework interface by Mozilla
+- [Stakpak](https://github.com/stakpak/agent) - Open source DevOps agent
+- [Hexabot](https://github.com/hexastack/hexabot) - Conversational AI builder
+- [Neuro SAN](https://github.com/cognizant-ai-lab/neuro-san-studio) - Multi-agent orchestration ([docs](https://github.com/cognizant-ai-lab/neuro-san-studio/blob/main/docs/user_guide.md#ollama))
+
+### RAG & Knowledge Bases
+
+- [RAGFlow](https://github.com/infiniflow/ragflow) - RAG engine based on deep document understanding
+- [R2R](https://github.com/SciPhi-AI/R2R) - Open-source RAG engine
+- [MaxKB](https://github.com/1Panel-dev/MaxKB/) - Ready-to-use RAG chatbot
+- [Minima](https://github.com/dmayboroda/minima) - On-premises or fully local RAG
+- [Chipper](https://github.com/TilmanGriesel/chipper) - AI interface with Haystack RAG
+- [ARGO](https://github.com/xark-argo/argo) - RAG and deep research on Mac/Windows/Linux
+- [Archyve](https://github.com/nickthecook/archyve) - RAG-enabling document library
+- [Casibase](https://casibase.org) - AI knowledge base with RAG and SSO
+- [BrainSoup](https://www.nurgo-software.com/products/brainsoup) - Native client with RAG and multi-agent automation
+
+### Bots & Messaging
+
+- [LangBot](https://github.com/RockChinQ/LangBot) - Multi-platform messaging bots with agents and RAG
+- [AstrBot](https://github.com/Soulter/AstrBot/) - Multi-platform chatbot with RAG and plugins
+- [Discord-Ollama Chat Bot](https://github.com/kevinthedang/discord-ollama) - TypeScript Discord bot
+- [Ollama Telegram Bot](https://github.com/ruecat/ollama-telegram) - Telegram bot
+- [LLM Telegram Bot](https://github.com/innightwolfsleep/llm_telegram_bot) - Telegram bot for roleplay
+
+### Terminal & CLI
+
+- [aichat](https://github.com/sigoden/aichat) - All-in-one LLM CLI with Shell Assistant, RAG, and AI tools
+- [oterm](https://github.com/ggozad/oterm) - Terminal client for Ollama
+- [gollama](https://github.com/sammcj/gollama) - Go-based model manager for Ollama
+- [tlm](https://github.com/yusufcanb/tlm) - Local shell copilot
+- [tenere](https://github.com/pythops/tenere) - TUI for LLMs
+- [ParLlama](https://github.com/paulrobello/parllama) - TUI for Ollama
+- [llm-ollama](https://github.com/taketwo/llm-ollama) - Plugin for [Datasette's LLM CLI](https://llm.datasette.io/en/stable/)
+- [ShellOracle](https://github.com/djcopley/ShellOracle) - Shell command suggestions
+- [LLM-X](https://github.com/mrdjohnson/llm-x) - Progressive web app for LLMs
+- [cmdh](https://github.com/pgibler/cmdh) - Natural language to shell commands
+- [VT](https://github.com/vinhnx/vt.ai) - Minimal multimodal AI chat app
+
+### Productivity & Apps
+
+- [AppFlowy](https://github.com/AppFlowy-IO/AppFlowy) - AI collaborative workspace, self-hostable Notion alternative
+- [Screenpipe](https://github.com/mediar-ai/screenpipe) - 24/7 screen and mic recording with AI-powered search
+- [Vibe](https://github.com/thewh1teagle/vibe) - Transcribe and analyze meetings
+- [Page Assist](https://github.com/n4ze3m/page-assist) - Chrome extension for AI-powered browsing
+- [NativeMind](https://github.com/NativeMindBrowser/NativeMindExtension) - Private, on-device browser AI assistant
+- [Ollama Fortress](https://github.com/ParisNeo/ollama_proxy_server) - Security proxy for Ollama
+- [1Panel](https://github.com/1Panel-dev/1Panel/) - Web-based Linux server management
+- [Writeopia](https://github.com/Writeopia/Writeopia) - Text editor with Ollama integration
+- [QA-Pilot](https://github.com/reid41/QA-Pilot) - GitHub code repository understanding
+- [Raycast extension](https://github.com/MassimilianoPasquini97/raycast_ollama) - Ollama in Raycast
+- [Painting Droid](https://github.com/mateuszmigas/painting-droid) - Painting app with AI integrations
+- [Serene Pub](https://github.com/doolijb/serene-pub) - AI roleplaying app
+- [Mayan EDMS](https://gitlab.com/mayan-edms/mayan-edms) - Document management with Ollama workflows
+- [TagSpaces](https://www.tagspaces.org) - File management with [AI tagging](https://docs.tagspaces.org/ai/)
+
+### Observability & Monitoring
+
+- [Opik](https://www.comet.com/docs/opik/cookbook/ollama) - Debug, evaluate, and monitor LLM applications
+- [OpenLIT](https://github.com/openlit/openlit) - OpenTelemetry-native monitoring for Ollama and GPUs
+- [Lunary](https://lunary.ai/docs/integrations/ollama) - LLM observability with analytics and PII masking
+- [Langfuse](https://langfuse.com/docs/integrations/ollama) - Open source LLM observability
+- [HoneyHive](https://docs.honeyhive.ai/integrations/ollama) - AI observability and evaluation for agents
+- [MLflow Tracing](https://mlflow.org/docs/latest/llms/tracing/index.html#automatic-tracing) - Open source LLM observability
+
+### Database & Embeddings
+
+- [pgai](https://github.com/timescale/pgai) - PostgreSQL as a vector database ([guide](https://github.com/timescale/pgai/blob/main/docs/vectorizer-quick-start.md))
+- [MindsDB](https://github.com/mindsdb/mindsdb/blob/staging/mindsdb/integrations/handlers/ollama_handler/README.md) - Connect Ollama with 200+ data platforms
+- [chromem-go](https://github.com/philippgille/chromem-go/blob/v0.5.0/embed_ollama.go) - Embeddable vector database for Go ([example](https://github.com/philippgille/chromem-go/tree/v0.5.0/examples/rag-wikipedia-ollama))
+- [Kangaroo](https://github.com/dbkangaroo/kangaroo) - AI-powered SQL client
+
+### Infrastructure & Deployment
+
+#### Cloud
 
 - [Google Cloud](https://cloud.google.com/run/docs/tutorials/gpu-gemma2-with-ollama)
 - [Fly.io](https://fly.io/docs/python/do-more/add-ollama/)
 - [Koyeb](https://www.koyeb.com/deploy/ollama)
+- [Harbor](https://github.com/av/harbor) - Containerized LLM toolkit with Ollama as default backend
 
-### Tutorial
-
-- [handy-ollama](https://github.com/datawhalechina/handy-ollama) (Chinese Tutorial for Ollama by [Datawhale ](https://github.com/datawhalechina) - China's Largest Open Source AI Learning Community)
-
-### Terminal
-
-- [oterm](https://github.com/ggozad/oterm)
-- [Ellama Emacs client](https://github.com/s-kostyaev/ellama)
-- [Emacs client](https://github.com/zweifisch/ollama)
-- [neollama](https://github.com/paradoxical-dev/neollama) UI client for interacting with models from within Neovim
-- [gen.nvim](https://github.com/David-Kunz/gen.nvim)
-- [ollama.nvim](https://github.com/nomnivore/ollama.nvim)
-- [ollero.nvim](https://github.com/marco-souza/ollero.nvim)
-- [ollama-chat.nvim](https://github.com/gerazov/ollama-chat.nvim)
-- [ogpt.nvim](https://github.com/huynle/ogpt.nvim)
-- [gptel Emacs client](https://github.com/karthink/gptel)
-- [Oatmeal](https://github.com/dustinblackman/oatmeal)
-- [cmdh](https://github.com/pgibler/cmdh)
-- [ooo](https://github.com/npahlfer/ooo)
-- [shell-pilot](https://github.com/reid41/shell-pilot)(Interact with models via pure shell scripts on Linux or macOS)
-- [tenere](https://github.com/pythops/tenere)
-- [llm-ollama](https://github.com/taketwo/llm-ollama) for [Datasette's LLM CLI](https://llm.datasette.io/en/stable/).
-- [typechat-cli](https://github.com/anaisbetts/typechat-cli)
-- [ShellOracle](https://github.com/djcopley/ShellOracle)
-- [tlm](https://github.com/yusufcanb/tlm)
-- [podman-ollama](https://github.com/ericcurtin/podman-ollama)
-- [gollama](https://github.com/sammcj/gollama)
-- [ParLlama](https://github.com/paulrobello/parllama)
-- [Ollama eBook Summary](https://github.com/cognitivetech/ollama-ebook-summary/)
-- [Ollama Mixture of Experts (MOE) in 50 lines of code](https://github.com/rapidarchitect/ollama_moe)
-- [vim-intelligence-bridge](https://github.com/pepo-ec/vim-intelligence-bridge) Simple interaction of "Ollama" with the Vim editor
-- [x-cmd ollama](https://x-cmd.com/mod/ollama)
-- [bb7](https://github.com/drunkwcodes/bb7)
-- [SwollamaCLI](https://github.com/marcusziade/Swollama) bundled with the Swollama Swift package. [Demo](https://github.com/marcusziade/Swollama?tab=readme-ov-file#cli-usage)
-- [aichat](https://github.com/sigoden/aichat) All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI tools & agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more.
-- [PowershAI](https://github.com/rrg92/powershai) PowerShell module that brings AI to terminal on Windows, including support for Ollama
-- [DeepShell](https://github.com/Abyss-c0re/deepshell) Your self-hosted AI assistant. Interactive Shell, Files and Folders analysis.
-- [orbiton](https://github.com/xyproto/orbiton) Configuration-free text editor and IDE with support for tab completion with Ollama.
-- [orca-cli](https://github.com/molbal/orca-cli) Ollama Registry CLI Application - Browse, pull, and download models from Ollama Registry in your terminal.
-- [GGUF-to-Ollama](https://github.com/jonathanhecl/gguf-to-ollama) - Importing GGUF to Ollama made easy (multiplatform)
-- [AWS-Strands-With-Ollama](https://github.com/rapidarchitect/ollama_strands) - AWS Strands Agents with Ollama Examples
-- [ollama-multirun](https://github.com/attogram/ollama-multirun) - A bash shell script to run a single prompt against any or all of your locally installed ollama models, saving the output and performance statistics as easily navigable web pages. ([Demo](https://attogram.github.io/ai_test_zone/))
-- [ollama-bash-toolshed](https://github.com/attogram/ollama-bash-toolshed) - Bash scripts to chat with tool using models. Add new tools to your shed with ease. Runs on Ollama.
-- [hle-eval-ollama](https://github.com/mags0ft/hle-eval-ollama) - Runs benchmarks like "Humanity's Last Exam" (HLE) on your favorite local Ollama models and evaluates the quality of their responses
-- [VT Code](https://github.com/vinhnx/vtcode) - VT Code is a Rust-based terminal coding agent with semantic code intelligence via Tree-sitter. Ollama integration for running local/cloud models with configurable endpoints.
-
-### Apple Vision Pro
-
-- [SwiftChat](https://github.com/aws-samples/swift-chat) (Cross-platform AI chat app supporting Apple Vision Pro via "Designed for iPad")
-- [Enchanted](https://github.com/AugustDev/enchanted)
-
-### Database
-
-- [pgai](https://github.com/timescale/pgai) - PostgreSQL as a vector database (Create and search embeddings from Ollama models using pgvector)
-  - [Get started guide](https://github.com/timescale/pgai/blob/main/docs/vectorizer-quick-start.md)
-- [MindsDB](https://github.com/mindsdb/mindsdb/blob/staging/mindsdb/integrations/handlers/ollama_handler/README.md) (Connects Ollama models with nearly 200 data platforms and apps)
-- [chromem-go](https://github.com/philippgille/chromem-go/blob/v0.5.0/embed_ollama.go) with [example](https://github.com/philippgille/chromem-go/tree/v0.5.0/examples/rag-wikipedia-ollama)
-- [Kangaroo](https://github.com/dbkangaroo/kangaroo) (AI-powered SQL client and admin tool for popular databases)
-
-### Package managers
+#### Package Managers
 
 - [Pacman](https://archlinux.org/packages/extra/x86_64/ollama/)
-- [Gentoo](https://github.com/gentoo/guru/tree/master/app-misc/ollama)
 - [Homebrew](https://formulae.brew.sh/formula/ollama)
-- [Helm Chart](https://artifacthub.io/packages/helm/ollama-helm/ollama)
-- [Guix channel](https://codeberg.org/tusharhero/ollama-guix)
 - [Nix package](https://search.nixos.org/packages?show=ollama&from=0&size=50&sort=relevance&type=packages&query=ollama)
+- [Helm Chart](https://artifacthub.io/packages/helm/ollama-helm/ollama)
+- [Gentoo](https://github.com/gentoo/guru/tree/master/app-misc/ollama)
 - [Flox](https://flox.dev/blog/ollama-part-one)
-
-### Libraries
-
-- [LangChain](https://python.langchain.com/docs/integrations/chat/ollama/) and [LangChain.js](https://js.langchain.com/docs/integrations/chat/ollama/) with [example](https://js.langchain.com/docs/tutorials/local_rag/)
-- [Firebase Genkit](https://firebase.google.com/docs/genkit/plugins/ollama)
-- [crewAI](https://github.com/crewAIInc/crewAI)
-- [Yacana](https://remembersoftwares.github.io/yacana/) (User-friendly multi-agent framework for brainstorming and executing predetermined flows with built-in tool integration)
-- [Strands Agents](https://github.com/strands-agents/sdk-python) (A model-driven approach to building AI agents in just a few lines of code)
-- [Spring AI](https://github.com/spring-projects/spring-ai) with [reference](https://docs.spring.io/spring-ai/reference/api/chat/ollama-chat.html) and [example](https://github.com/tzolov/ollama-tools)
-- [LangChainGo](https://github.com/tmc/langchaingo/) with [example](https://github.com/tmc/langchaingo/tree/main/examples/ollama-completion-example)
-- [LangChain4j](https://github.com/langchain4j/langchain4j) with [example](https://github.com/langchain4j/langchain4j-examples/tree/main/ollama-examples/src/main/java)
-- [LangChainRust](https://github.com/Abraxas-365/langchain-rust) with [example](https://github.com/Abraxas-365/langchain-rust/blob/main/examples/llm_ollama.rs)
-- [LangChain for .NET](https://github.com/tryAGI/LangChain) with [example](https://github.com/tryAGI/LangChain/blob/main/examples/LangChain.Samples.OpenAI/Program.cs)
-- [LLPhant](https://github.com/theodo-group/LLPhant?tab=readme-ov-file#ollama)
-- [LlamaIndex](https://docs.llamaindex.ai/en/stable/examples/llm/ollama/) and [LlamaIndexTS](https://ts.llamaindex.ai/modules/llms/available_llms/ollama)
-- [LiteLLM](https://github.com/BerriAI/litellm)
-- [OllamaFarm for Go](https://github.com/presbrey/ollamafarm)
-- [OllamaSharp for .NET](https://github.com/awaescher/OllamaSharp)
-- [Ollama for Ruby](https://github.com/crmne/ruby_llm)
-- [Ollama-rs for Rust](https://github.com/pepperoni21/ollama-rs)
-- [Ollama-hpp for C++](https://github.com/jmont-dev/ollama-hpp)
-- [Ollama4j for Java](https://github.com/ollama4j/ollama4j)
-- [ModelFusion Typescript Library](https://modelfusion.dev/integration/model-provider/ollama)
-- [OllamaKit for Swift](https://github.com/kevinhermawan/OllamaKit)
-- [Ollama for Dart](https://github.com/breitburg/dart-ollama)
-- [Ollama for Laravel](https://github.com/cloudstudio/ollama-laravel)
-- [LangChainDart](https://github.com/davidmigloz/langchain_dart)
-- [Semantic Kernel - Python](https://github.com/microsoft/semantic-kernel/tree/main/python/semantic_kernel/connectors/ai/ollama)
-- [Haystack](https://github.com/deepset-ai/haystack-integrations/blob/main/integrations/ollama.md)
-- [Elixir LangChain](https://github.com/brainlid/langchain)
-- [Ollama for R - rollama](https://github.com/JBGruber/rollama)
-- [Ollama for R - ollama-r](https://github.com/hauselin/ollama-r)
-- [Ollama-ex for Elixir](https://github.com/lebrunel/ollama-ex)
-- [Ollama Connector for SAP ABAP](https://github.com/b-tocs/abap_btocs_ollama)
-- [Testcontainers](https://testcontainers.com/modules/ollama/)
-- [Portkey](https://portkey.ai/docs/welcome/integration-guides/ollama)
-- [PromptingTools.jl](https://github.com/svilupp/PromptingTools.jl) with an [example](https://svilupp.github.io/PromptingTools.jl/dev/examples/working_with_ollama)
-- [LlamaScript](https://github.com/Project-Llama/llamascript)
-- [llm-axe](https://github.com/emirsahin1/llm-axe) (Python Toolkit for Building LLM Powered Apps)
-- [Gollm](https://docs.gollm.co/examples/ollama-example)
-- [Gollama for Golang](https://github.com/jonathanhecl/gollama)
-- [Ollamaclient for Golang](https://github.com/xyproto/ollamaclient)
-- [High-level function abstraction in Go](https://gitlab.com/tozd/go/fun)
-- [Ollama PHP](https://github.com/ArdaGnsrn/ollama-php)
-- [Agents-Flex for Java](https://github.com/agents-flex/agents-flex) with [example](https://github.com/agents-flex/agents-flex/tree/main/agents-flex-llm/agents-flex-llm-ollama/src/test/java/com/agentsflex/llm/ollama)
-- [Parakeet](https://github.com/parakeet-nest/parakeet) is a GoLang library, made to simplify the development of small generative AI applications with Ollama.
-- [Haverscript](https://github.com/andygill/haverscript) with [examples](https://github.com/andygill/haverscript/tree/main/examples)
-- [Ollama for Swift](https://github.com/mattt/ollama-swift)
-- [Swollama for Swift](https://github.com/guitaripod/Swollama) with [DocC](https://guitaripod.github.io/Swollama/documentation/swollama)
-- [GoLamify](https://github.com/prasad89/golamify)
-- [Ollama for Haskell](https://github.com/tusharad/ollama-haskell)
-- [multi-llm-ts](https://github.com/nbonamy/multi-llm-ts) (A Typescript/JavaScript library allowing access to different LLM in a unified API)
-- [LlmTornado](https://github.com/lofcz/llmtornado) (C# library providing a unified interface for major FOSS & Commercial inference APIs)
-- [Ollama for Zig](https://github.com/dravenk/ollama-zig)
-- [Abso](https://github.com/lunary-ai/abso) (OpenAI-compatible TypeScript SDK for any LLM provider)
-- [Nichey](https://github.com/goodreasonai/nichey) is a Python package for generating custom wikis for your research topic
-- [Ollama for D](https://github.com/kassane/ollama-d)
-- [OllamaPlusPlus](https://github.com/HardCodeDev777/OllamaPlusPlus) (Very simple C++ library for Ollama)
-- [any-llm](https://github.com/mozilla-ai/any-llm) (A single interface to use different llm providers by [mozilla.ai](https://www.mozilla.ai/))
-- [any-agent](https://github.com/mozilla-ai/any-agent) (A single interface to use and evaluate different agent frameworks by [mozilla.ai](https://www.mozilla.ai/))
-- [Neuro SAN](https://github.com/cognizant-ai-lab/neuro-san-studio) (Data-driven multi-agent orchestration framework) with [example](https://github.com/cognizant-ai-lab/neuro-san-studio/blob/main/docs/user_guide.md#ollama)
-- [achatbot-go](https://github.com/ai-bot-pro/achatbot-go) a multimodal(text/audio/image) chatbot.
-- [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) - A Bash Library for Ollama. Run LLM prompts straight from your shell, and more
-
-### Mobile
-
-- [SwiftChat](https://github.com/aws-samples/swift-chat) (Lightning-fast Cross-platform AI chat app with native UI for Android, iOS, and iPad)
-- [Enchanted](https://github.com/AugustDev/enchanted)
-- [Maid](https://github.com/Mobile-Artificial-Intelligence/maid)
-- [Ollama App](https://github.com/JHubi1/ollama-app) (Modern and easy-to-use multi-platform client for Ollama)
-- [ConfiChat](https://github.com/1runeberg/confichat) (Lightweight, standalone, multi-platform, and privacy-focused LLM chat interface with optional encryption)
-- [Ollama Android Chat](https://github.com/sunshine0523/OllamaServer) (No need for Termux, start the Ollama service with one click on an Android device)
-- [Reins](https://github.com/ibrahimcetin/reins) (Easily tweak parameters, customize system prompts per chat, and enhance your AI experiments with reasoning model support.)
-
-### Extensions & Plugins
-
-- [Raycast extension](https://github.com/MassimilianoPasquini97/raycast_ollama)
-- [Discollama](https://github.com/mxyng/discollama) (Discord bot inside the Ollama discord channel)
-- [Continue](https://github.com/continuedev/continue)
-- [Vibe](https://github.com/thewh1teagle/vibe) (Transcribe and analyze meetings with Ollama)
-- [Obsidian Ollama plugin](https://github.com/hinterdupfinger/obsidian-ollama)
-- [Logseq Ollama plugin](https://github.com/omagdy7/ollama-logseq)
-- [NotesOllama](https://github.com/andersrex/notesollama) (Apple Notes Ollama plugin)
-- [Dagger Chatbot](https://github.com/samalba/dagger-chatbot)
-- [Discord AI Bot](https://github.com/mekb-turtle/discord-ai-bot)
-- [Ollama Telegram Bot](https://github.com/ruecat/ollama-telegram)
-- [Hass Ollama Conversation](https://github.com/ej52/hass-ollama-conversation)
-- [Rivet plugin](https://github.com/abrenneke/rivet-plugin-ollama)
-- [Obsidian BMO Chatbot plugin](https://github.com/longy2k/obsidian-bmo-chatbot)
-- [Cliobot](https://github.com/herval/cliobot) (Telegram bot with Ollama support)
-- [Copilot for Obsidian plugin](https://github.com/logancyang/obsidian-copilot)
-- [Obsidian Local GPT plugin](https://github.com/pfrankov/obsidian-local-gpt)
-- [Open Interpreter](https://docs.openinterpreter.com/language-model-setup/local-models/ollama)
-- [Llama Coder](https://github.com/ex3ndr/llama-coder) (Copilot alternative using Ollama)
-- [Ollama Copilot](https://github.com/bernardo-bruning/ollama-copilot) (Proxy that allows you to use Ollama as a copilot like GitHub Copilot)
-- [twinny](https://github.com/rjmacarthy/twinny) (Copilot and Copilot chat alternative using Ollama)
-- [Wingman-AI](https://github.com/RussellCanfield/wingman-ai) (Copilot code and chat alternative using Ollama and Hugging Face)
-- [Page Assist](https://github.com/n4ze3m/page-assist) (Chrome Extension)
-- [Plasmoid Ollama Control](https://github.com/imoize/plasmoid-ollamacontrol) (KDE Plasma extension that allows you to quickly manage/control Ollama model)
-- [AI Telegram Bot](https://github.com/tusharhero/aitelegrambot) (Telegram bot using Ollama in backend)
-- [AI ST Completion](https://github.com/yaroslavyaroslav/OpenAI-sublime-text) (Sublime Text 4 AI assistant plugin with Ollama support)
-- [Discord-Ollama Chat Bot](https://github.com/kevinthedang/discord-ollama) (Generalized TypeScript Discord Bot w/ Tuning Documentation)
-- [ChatGPTBox: All in one browser extension](https://github.com/josStorer/chatGPTBox) with [Integrating Tutorial](https://github.com/josStorer/chatGPTBox/issues/616#issuecomment-1975186467)
-- [Discord AI chat/moderation bot](https://github.com/rapmd73/Companion) Chat/moderation bot written in python. Uses Ollama to create personalities.
-- [Headless Ollama](https://github.com/nischalj10/headless-ollama) (Scripts to automatically install ollama client & models on any OS for apps that depend on ollama server)
-- [Terraform AWS Ollama & Open WebUI](https://github.com/xuyangbocn/terraform-aws-self-host-llm) (A Terraform module to deploy on AWS a ready-to-use Ollama service, together with its front-end Open WebUI service.)
-- [node-red-contrib-ollama](https://github.com/jakubburkiewicz/node-red-contrib-ollama)
-- [Local AI Helper](https://github.com/ivostoykov/localAI) (Chrome and Firefox extensions that enable interactions with the active tab and customisable API endpoints. Includes secure storage for user prompts.)
-- [LSP-AI](https://github.com/SilasMarvin/lsp-ai) (Open-source language server for AI-powered functionality)
-- [QodeAssist](https://github.com/Palm1r/QodeAssist) (AI-powered coding assistant plugin for Qt Creator)
-- [Obsidian Quiz Generator plugin](https://github.com/ECuiDev/obsidian-quiz-generator)
-- [AI Summary Helper plugin](https://github.com/philffm/ai-summary-helper)
-- [TextCraft](https://github.com/suncloudsmoon/TextCraft) (Copilot in Word alternative using Ollama)
-- [Alfred Ollama](https://github.com/zeitlings/alfred-ollama) (Alfred Workflow)
-- [TextLLaMA](https://github.com/adarshM84/TextLLaMA) A Chrome Extension that helps you write emails, correct grammar, and translate into any language
-- [Simple-Discord-AI](https://github.com/zyphixor/simple-discord-ai)
-- [LLM Telegram Bot](https://github.com/innightwolfsleep/llm_telegram_bot) (telegram bot, primary for RP. Oobabooga-like buttons, [A1111](https://github.com/AUTOMATIC1111/stable-diffusion-webui) API integration e.t.c)
-- [mcp-llm](https://github.com/sammcj/mcp-llm) (MCP Server to allow LLMs to call other LLMs)
-- [SimpleOllamaUnity](https://github.com/HardCodeDev777/SimpleOllamaUnity) (Unity Engine extension for communicating with Ollama in a few lines of code. Also works at runtime)
-- [UnityCodeLama](https://github.com/HardCodeDev777/UnityCodeLama) (Unity Editor tool to analyze scripts via Ollama)
-- [NativeMind](https://github.com/NativeMindBrowser/NativeMindExtension) (Private, on-device AI Assistant, no cloud dependencies)
-- [GMAI - Gradle Managed AI](https://gmai.premex.se/) (Gradle plugin for automated Ollama lifecycle management during build phases)
-- [NOMYO Router](https://github.com/nomyo-ai/nomyo-router) (A transparent Ollama proxy with model deployment aware routing which auto-manages multiple Ollama instances in a given network)
-
-### Supported backends
-
-- [llama.cpp](https://github.com/ggml-org/llama.cpp) project founded by Georgi Gerganov.
-
-### Observability
-
-- [Opik](https://www.comet.com/docs/opik/cookbook/ollama) is an open-source platform to debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards. Opik supports native integration to Ollama.
-- [Lunary](https://lunary.ai/docs/integrations/ollama) is the leading open-source LLM observability platform. It provides a variety of enterprise-grade features such as real-time analytics, prompt templates management, PII masking, and comprehensive agent tracing.
-- [OpenLIT](https://github.com/openlit/openlit) is an OpenTelemetry-native tool for monitoring Ollama Applications & GPUs using traces and metrics.
-- [HoneyHive](https://docs.honeyhive.ai/integrations/ollama) is an AI observability and evaluation platform for AI agents. Use HoneyHive to evaluate agent performance, interrogate failures, and monitor quality in production.
-- [Langfuse](https://langfuse.com/docs/integrations/ollama) is an open source LLM observability platform that enables teams to collaboratively monitor, evaluate and debug AI applications.
-- [MLflow Tracing](https://mlflow.org/docs/latest/llms/tracing/index.html#automatic-tracing) is an open source LLM observability tool with a convenient API to log and visualize traces, making it easy to debug and evaluate GenAI applications.
-
-### Security
-
-- [Ollama Fortress](https://github.com/ParisNeo/ollama_proxy_server)
+- [Guix channel](https://codeberg.org/tusharhero/ollama-guix)

docs/quickstart.mdx

@@ -2,7 +2,7 @@
 title: Quickstart
 ---
 
-This quickstart will walk your through running your first model with Ollama. To get started, download Ollama on macOS, Windows or Linux.
+Ollama is available on macOS, Windows, and Linux.
 
 <a
   href="https://ollama.com/download"
@@ -12,131 +12,48 @@ This quickstart will walk your through running your first model with Ollama. To
   Download Ollama
 </a>
 
-## Run a model
+## Get Started
 
-<Tabs>
-  <Tab title="CLI">
-    Open a terminal and run the command:
-
-    ```sh
-    ollama run gemma3
-    ```
-
-  </Tab>
-  <Tab title="cURL">
-    ```sh
-    ollama pull gemma3
-    ```
-
-    Lastly, chat with the model:
-
-    ```shell
-    curl http://localhost:11434/api/chat -d '{
-      "model": "gemma3",
-      "messages": [{
-        "role": "user",
-        "content": "Hello there!"
-      }],
-      "stream": false
-    }'
-    ```
-
-  </Tab>
-  <Tab title="Python">
-    Start by downloading a model:
-
-    ```sh
-    ollama pull gemma3
-    ```
-
-    Then install Ollama's Python library:
-
-    ```sh
-    pip install ollama
-    ```
-
-    Lastly, chat with the model:
-
-    ```python
-    from ollama import chat
-    from ollama import ChatResponse
-
-    response: ChatResponse = chat(model='gemma3', messages=[
-      {
-        'role': 'user',
-        'content': 'Why is the sky blue?',
-      },
-    ])
-    print(response['message']['content'])
-    # or access fields directly from the response object
-    print(response.message.content)
-    ```
-
-  </Tab>
-  <Tab title="JavaScript">
-    Start by downloading a model:
-
-    ```
-    ollama pull gemma3
-    ```
-
-    Then install the Ollama JavaScript library:
-    ```
-    npm i ollama
-    ```
-
-    Lastly, chat with the model:
-
-    ```shell
-    import ollama from 'ollama'
-
-    const response = await ollama.chat({
-      model: 'gemma3',
-      messages: [{ role: 'user', content: 'Why is the sky blue?' }],
-    })
-    console.log(response.message.content)
-    ```
-
-  </Tab>
-</Tabs>
-
-See a full list of available models [here](https://ollama.com/models).
-
-## Coding 
-
-For coding use cases, we recommend using the `glm-4.7-flash` model. 
-
-Note: this model requires 23 GB of VRAM with 64000 tokens context length.
-```sh
-ollama pull glm-4.7-flash 
-```
-
-Alternatively, you can use a more powerful cloud model (with full context length):
-```sh
-ollama pull glm-4.7:cloud
-```
-
-Use `ollama launch` to quickly set up a coding tool with Ollama models:
+Run `ollama` in your terminal to open the interactive menu:
 
 ```sh
-ollama launch
+ollama
 ```
 
-### Supported integrations
+Navigate with `↑/↓`, press `enter` to launch, `→` to change model, and `esc` to quit.
 
-- [OpenCode](/integrations/opencode) - Open-source coding assistant
-- [Claude Code](/integrations/claude-code) - Anthropic's agentic coding tool
-- [Codex](/integrations/codex) - OpenAI's coding assistant
-- [Droid](/integrations/droid) - Factory's AI coding agent
+The menu provides quick access to:
+- **Run a model** - Start an interactive chat
+- **Launch tools** - Claude Code, Codex, OpenClaw, and more
+- **Additional integrations** - Available under "More..."
 
-### Launch with a specific model
+## Coding
+
+Launch coding tools with Ollama models:
 
 ```sh
-ollama launch claude --model glm-4.7-flash
+ollama launch claude
 ```
 
-### Configure without launching
-
 ```sh
-ollama launch claude --config
+ollama launch codex
 ```
+
+```sh
+ollama launch opencode
+```
+
+See [integrations](/integrations) for all supported tools.
+
+## API
+
+Use the [API](/api) to integrate Ollama into your applications:
+
+```sh
+curl http://localhost:11434/api/chat -d '{
+  "model": "gemma3",
+  "messages": [{ "role": "user", "content": "Hello!" }]
+}'
+```
+
+See the [API documentation](/api) for Python, JavaScript, and other integrations.

scripts/install.ps1

@@ -136,12 +136,64 @@ function Invoke-Download {
 
     Write-Status "  Downloading: $Url"
     try {
-        Invoke-WebRequest -Uri $Url -OutFile $OutFile -UseBasicParsing
-        $size = (Get-Item $OutFile).Length
-        Write-Status "  Downloaded: $([math]::Round($size / 1MB, 1)) MB"
+        $request = [System.Net.HttpWebRequest]::Create($Url)
+        $request.AllowAutoRedirect = $true
+        $response = $request.GetResponse()
+        $totalBytes = $response.ContentLength
+        $stream = $response.GetResponseStream()
+        $fileStream = [System.IO.FileStream]::new($OutFile, [System.IO.FileMode]::Create)
+        $buffer = [byte[]]::new(65536)
+        $totalRead = 0
+        $lastUpdate = [DateTime]::MinValue
+        $barWidth = 40
+
+        try {
+            while (($read = $stream.Read($buffer, 0, $buffer.Length)) -gt 0) {
+                $fileStream.Write($buffer, 0, $read)
+                $totalRead += $read
+
+                $now = [DateTime]::UtcNow
+                if (($now - $lastUpdate).TotalMilliseconds -ge 250) {
+                    if ($totalBytes -gt 0) {
+                        $pct = [math]::Min(100.0, ($totalRead / $totalBytes) * 100)
+                        $filled = [math]::Floor($barWidth * $pct / 100)
+                        $empty = $barWidth - $filled
+                        $bar = ('#' * $filled) + (' ' * $empty)
+                        $pctFmt = $pct.ToString("0.0")
+                        Write-Host -NoNewline "`r$bar ${pctFmt}%"
+                    } else {
+                        $sizeMB = [math]::Round($totalRead / 1MB, 1)
+                        Write-Host -NoNewline "`r${sizeMB} MB downloaded..."
+                    }
+                    $lastUpdate = $now
+                }
+            }
+
+            # Final progress update
+            if ($totalBytes -gt 0) {
+                $bar = '#' * $barWidth
+                Write-Host "`r$bar 100.0%"
+            } else {
+                $sizeMB = [math]::Round($totalRead / 1MB, 1)
+                Write-Host "`r${sizeMB} MB downloaded.          "
+            }
+        } finally {
+            $fileStream.Close()
+            $stream.Close()
+            $response.Close()
+        }
     } catch {
-        if ($_.Exception.Response.StatusCode -eq 404) {
-            throw "Download failed: not found at $Url"
+        if ($_.Exception -is [System.Net.WebException]) {
+            $webEx = [System.Net.WebException]$_.Exception
+            if ($webEx.Response -and ([System.Net.HttpWebResponse]$webEx.Response).StatusCode -eq [System.Net.HttpStatusCode]::NotFound) {
+                throw "Download failed: not found at $Url"
+            }
+        }
+        if ($_.Exception.InnerException -is [System.Net.WebException]) {
+            $webEx = [System.Net.WebException]$_.Exception.InnerException
+            if ($webEx.Response -and ([System.Net.HttpWebResponse]$webEx.Response).StatusCode -eq [System.Net.HttpStatusCode]::NotFound) {
+                throw "Download failed: not found at $Url"
+            }
         }
         throw "Download failed for ${Url}: $($_.Exception.Message)"
     }
@@ -156,7 +208,7 @@ function Invoke-Uninstall {
 
     $regKey = Find-InnoSetupInstall
     if (-not $regKey) {
-        Write-Host "Ollama is not installed."
+        Write-Host ">>> Ollama is not installed."
         return
     }
 
@@ -175,7 +227,7 @@ function Invoke-Uninstall {
         return
     }
 
-    Write-Host "Launching uninstaller..."
+    Write-Host ">>> Launching uninstaller..."
     # Run with GUI so user can choose whether to keep models
     Start-Process -FilePath $uninstallExe -Wait
 
@@ -183,7 +235,7 @@ function Invoke-Uninstall {
     if (Find-InnoSetupInstall) {
         Write-Warning "Uninstall may not have completed"
     } else {
-        Write-Host "Ollama has been uninstalled."
+        Write-Host ">>> Ollama has been uninstalled."
     }
 }
 
@@ -202,7 +254,7 @@ function Invoke-Install {
     # Download installer
     Write-Step "Downloading Ollama"
     if (-not $DebugInstall) {
-        Write-Host "Downloading Ollama..."
+        Write-Host ">>> Downloading Ollama for Windows..."
     }
 
     $tempInstaller = Join-Path $env:TEMP "OllamaSetup.exe"
@@ -225,7 +277,7 @@ function Invoke-Install {
     # Run installer
     Write-Step "Installing Ollama"
     if (-not $DebugInstall) {
-        Write-Host "Installing..."
+        Write-Host ">>> Installing Ollama..."
     }
 
     # Create upgrade marker so the app starts hidden
@@ -257,7 +309,7 @@ function Invoke-Install {
     Write-Step "Updating session PATH"
     Update-SessionPath
 
-    Write-Host "Install complete. You can now run 'ollama'."
+    Write-Host ">>> Install complete. Run 'ollama' from the command line."
 }
 
 # --------------------------------------------------------------------------

scripts/install.sh

@@ -72,10 +72,12 @@ if [ "$OS" = "Darwin" ]; then
     unzip -q "$TEMP_DIR/Ollama-darwin.zip" -d "$TEMP_DIR"
     mv "$TEMP_DIR/Ollama.app" "/Applications/"
 
-    status "Adding 'ollama' command to PATH (may require password)..."
-    mkdir -p "/usr/local/bin" 2>/dev/null || sudo mkdir -p "/usr/local/bin"
-    ln -sf "/Applications/Ollama.app/Contents/Resources/ollama" "/usr/local/bin/ollama" 2>/dev/null || \
-        sudo ln -sf "/Applications/Ollama.app/Contents/Resources/ollama" "/usr/local/bin/ollama"
+    if [ ! -L "/usr/local/bin/ollama" ] || [ "$(readlink "/usr/local/bin/ollama")" != "/Applications/Ollama.app/Contents/Resources/ollama" ]; then
+        status "Adding 'ollama' command to PATH (may require password)..."
+        mkdir -p "/usr/local/bin" 2>/dev/null || sudo mkdir -p "/usr/local/bin"
+        ln -sf "/Applications/Ollama.app/Contents/Resources/ollama" "/usr/local/bin/ollama" 2>/dev/null || \
+            sudo ln -sf "/Applications/Ollama.app/Contents/Resources/ollama" "/usr/local/bin/ollama"
+    fi
 
     if [ -z "${OLLAMA_NO_START:-}" ]; then
         status "Starting Ollama..."

x/imagegen/server.go

@@ -21,6 +21,7 @@ import (
 	"sync"
 	"time"
 
+	"github.com/ollama/ollama/envconfig"
 	"github.com/ollama/ollama/llm"
 	"github.com/ollama/ollama/ml"
 	"github.com/ollama/ollama/x/imagegen/manifest"
@@ -195,7 +196,7 @@ func (s *Server) Ping(ctx context.Context) error {
 // waitUntilRunning waits for the subprocess to be ready.
 func (s *Server) waitUntilRunning() error {
 	ctx := context.Background()
-	timeout := time.After(2 * time.Minute)
+	timeout := time.After(envconfig.LoadTimeout())
 	ticker := time.NewTicker(100 * time.Millisecond)
 	defer ticker.Stop()