What problem it solves

Locally Uncensored is a local AI studio for desktop chat, image and video generation, coding, and agent workflows. In local mode, everything runs on the user's own machine without Docker, a terminal, or configuration files.

Key features

• Local AI model management — The model manager identifies models that fit the user's hardware and can download them in one click. It also works with existing engines and can link to models they already store.

  Source: README

• Integrated chat and creation — Chat, image creation, and video creation are available within the same desktop application. Create supports text-to-image, editing, image-to-image, video, animation, clip extension, motion control, talking characters, music, and character training.

  Source: README

• Reviewable coding agent — The coding agent maps a repository, edits requested lines, and presents a diff before applying changes. It can run tests, read failures, and carry typed Git tools and project rules in a `.lurules` file.

  Source: README

• Tool-using background agents — The agent workspace supports web search, file operations, shell and code execution, screenshots, media generation, and MCP servers. Long-running work can continue in the background, while tool calls pass through user-controlled permission gates.

  Source: README

• Desktop and mobile access — The project provides desktop builds and an Android phone app, with an iPhone version described as being in review. Phone users can run models offline, work with their documents, and connect to a computer over home Wi-Fi.

  Source: README

Quick start

Copied verbatim from the project's README.

git clone https://github.com/PurpleDoubleD/locally-uncensored.git
cd locally-uncensored
npm install
npm run dev          # browser dev mode
npm run tauri build  # desktop binary

Who it may suit

Inference: This project may suit desktop users who want local chat, media generation, coding, and agent workflows in one interface. It may also suit mobile users who want offline model access or a connection to models running on their own computer.

Topics to discuss

• Which local models and engines should receive better first-run support?

• How should permission controls and review workflows be designed for coding, agent, and computer-control tasks?

• What should the project prioritize for reliable mobile-to-desktop access and offline use?

Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.

Read the original README https://github.com/PurpleDoubleD/locally-uncensored#readme

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