locally-uncensored
An open-source local AI desktop workbench integrating four capability categories: conversational chat, Agent mode, image generation, and video generation. It supports Ollama local models as well as OpenAI and Anthropic cloud APIs, and is distributed as a single executable for zero-configuration deployment.
Timeline (last 90 days)
PurpleDoubleD/locally-uncensored is an open-source project that integrates chat, Agent mode, image generation, and video generation into a single desktop application.
locally-uncensored is delivered as a single .exe file and does not require Docker to run.
The locally-uncensored project has received 365 Stars and 51 Forks.
locally-uncensored is primarily written in TypeScript.
locally-uncensored supports running local open-source models via Ollama, including Gemma, Llama, Qwen, and others.
Running image and video generation models locally places certain demands on hardware, especially GPU VRAM, and simple installation does not equate to lightweight operation.
The word "uncensored" in the project name indicates its positioning toward unrestricted local use, and users must bear responsibility for content and compliance matters themselves.
All Facts (6)
PurpleDoubleD/locally-uncensored is an open-source project that integrates chat, Agent mode, image generation, and video generation into a single desktop application.
50%Unverifiedlocally-uncensored is delivered as a single .exe file and does not require Docker to run.
50%Unverifiedlocally-uncensored is primarily written in TypeScript.
50%Unverifiedlocally-uncensored supports running local open-source models via Ollama, including Gemma, Llama, Qwen, and others.
50%UnverifiedRunning image and video generation models locally places certain demands on hardware, especially GPU VRAM, and simple installation does not equate to lightweight operation.
50%UnverifiedThe word "uncensored" in the project name indicates its positioning toward unrestricted local use, and users must bear responsibility for content and compliance matters themselves.
50%