ollama
ollama-webui
| ollama | ollama-webui | |
|---|---|---|
| 750 | 16 | |
| 173,924 | 5,789 | |
| 2.0% | - | |
| 9.9 | 9.8 | |
| about 13 hours ago | over 2 years ago | |
| Go | Svelte | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ollama
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Set Up Your Own ChatGPT: Ollama + Open WebUI for Data That Never
Download: Go to https://ollama.com/ and click on the download link for your operating system.
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I Built a Free, Fully Local AI Resume Builder — No Subscriptions, No Cloud, No Catch
Most AI resume tools call out to OpenAI or Anthropic and charge you for every request. Persona supports Ollama — which means you can run the AI model locally on your own hardware, with zero API costs and zero data leaving your machine.
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Sovereign Synapse: The Local Brain
To solve these, we built a stack that prioritizes integrity over ease. The centerpiece is Ollama, running the mxbai-embed-large model locally. This is the engine that translates human thought into high-dimensional coordinates.
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How I Built a Self-Funding AI Lab: From Hobby to Side Income in 6 Months
Ollama for model serving
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Flat Chat Threads Suck for Reading Books. So I Built a Local-First AI Tree Companion.
Fully offline: Point it at Ollama or LM Studio. Zero cost, nothing leaves your network.
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Local LLM Hardware Requirements in 2026: What You Actually Need for Every Model Tier [Guide]
Recommended hardware: The RTX 3060 with 12 GB VRAM is the budget king here — all these models fit with room to spare for KV cache overhead, even Gemma 4:12B (which needs ~8.5–9 GB with overhead). An RTX 4060 Ti 16 GB gives you more headroom. On the Apple side, any M2 or M3 MacBook with 16 GB unified memory handles these models comfortably via Ollama's Metal backend.
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Run Coding Agents on Local AI — Zero Cloud, Full Control
This guide shows how to swap out every cloud API with a local Ollama server running qwen3-coder:30b. Same tools, same workflows, no data leaving your network.
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Running Brand-New Gemma 4 12B on an 8-Year-Old GTX 1080 Ti: Speed, 3 Gotchas, and Why Q8 Beat Q4 on My Own Field
Related: 35B MoE on 2× 1080 Ti · Ollama
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Agent Skills in Microsoft Agent Framework
The sample is a tiny console app running entirely against a local Ollama model — no cloud keys, and every HTTP call is traced so I can see exactly what goes over the wire (complete sample code). There's a single skill on disk:
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Quick and easy local AI RAG setup with JetBrains IDE integration and browser UI
irm https://ollama.com/install.ps1 | iex
ollama-webui
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Fast and secure ingress to remote AIs with ngrok, Deepseek, and Ollama
Ollama: Ollama is an open source project that simplifies how developers run, interact with, and train LLMs. Its original purpose is to be run locally, but because it operates anywhere Linux does, and doesn’t require a web interface, it’s quite easy to install anywhere.
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ollama-webui VS open-webui - a user suggested alternative
2 projects | 15 Aug 2024
- Run copilot locally
- Show HN: I made an app to use local AI as daily driver
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Exploring Podman: A More Secure Docker Alternative
I'm a podman beginner, trying to install ollama-webui(1) using Podman on M2 MBA.
I started up Podman Desktop, and did a terminal command "docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway -v ollama-webui:/app/backend/data --name ollama-webui --restart always ghcr.io/ollama-webui/ollama-webui:main" based on Github's instructions, but it gave a error message something about "host".
Do you know what is the problem and how do I overcome this?
If I run the above command using Docker Desktop, it runs and installs Ollama-WebUI just fine.
(1) https://github.com/ollama-webui/ollama-webui ("Installing with Docker")
Thank you.
- Mixtral: Mixture of Experts
- Run Mistral 7B on M1 Mac
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OpenAI's New Strategy
I set up Ollama in a docker container (really easy) and I use the Ollama web-ui here, that's very much like ChatGPT, and I have that in a container as well.
- chatgpt alternative
- How can I configure the same settings I get in the llama.cpp webUI with Ollama on macOS?
What are some alternatives?
koboldcpp - Run GGUF models easily with a KoboldAI UI. One File. Zero Install.
open-webui - User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
SillyTavern - LLM Frontend for Power Users.
LibreChat - Enhanced ChatGPT Clone: Features Agents, MCP, Skills, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active
textgen - Open-source desktop app for local LLMs. Text, vision, tool-calling, OpenAI/Anthropic-compatible API. 100% private.
llamafile - Distribute and run LLMs with a single file.