Locally Uncensored vs Jan.ai

Published March 30, 2026 · 6 min read

Jan.ai has earned a reputation as one of the most polished, ChatGPT-like interfaces among local AI apps. Built on Electron with a clean design, it supports both local models and cloud APIs from providers like OpenAI, Anthropic, and Google. For users who want a single chat interface that bridges local and cloud AI, Jan is an appealing option.

Locally Uncensored takes a fundamentally different approach. Rather than trying to be a universal chat client, it focuses on being a complete local AI creative suite. It combines LLM chat via Ollama with image generation and video generation via ComfyUI -- capabilities that Jan does not offer at all. If you are exploring the best local AI apps in 2026, these two represent very different philosophies about what a local AI app should be.

Both apps run on Windows, macOS, and Linux. Both let you chat with local models on your own hardware. But the similarities end there. This comparison breaks down exactly where each app excels and where it falls short.

Feature Comparison

FeatureLocally UncensoredJan.ai
LLM ChatYes (Ollama)Yes (Cortex/llama.cpp)
Image GenerationYes (ComfyUI)No
Video GenerationYes (ComfyUI)No
Cloud API SupportNo (local only)Yes (OpenAI, Anthropic, etc.)
Custom Personas25+ built-inNo
Extension SystemNoYes
Uncensored by DefaultYesNo
LicenseMITAGPL v3
UI FrameworkTauri (Rust)Electron (Chromium)
App Memory UsageLow (50-100 MB)High (300-500 MB)
HuggingFace BrowserNoYes
Model ManagementBuilt-in (Ollama)Built-in + HF
Docker RequiredNoNo

Where Locally Uncensored Wins

Where Jan.ai Wins

Architecture Differences

The architectural differences between these two apps reflect their different priorities. Jan is built with Electron and ships with its own Cortex inference engine based on llama.cpp. This makes it a self-contained package, but the Electron runtime adds significant memory overhead.

Locally Uncensored uses Tauri (Rust backend with native system webview) and delegates inference to Ollama for text and ComfyUI for image/video. This modular approach means a lighter app footprint and the ability to leverage each backend's full feature set, but it does require those backends to be installed separately. The setup script automates this process.

For users who already have Ollama installed, Locally Uncensored adds zero redundant inference engines. For users who want everything in one package with no external dependencies, Jan's self-contained approach is more convenient.

The Verdict

Choose Jan.ai if you want a polished ChatGPT-like interface that supports both local models and cloud APIs like OpenAI and Anthropic. Jan is the right choice if text chat is all you need and you value a clean UI with HuggingFace model browsing.

Choose Locally Uncensored if you want a lightweight, fully local AI app with text, image, and video generation capabilities. The MIT license, Tauri runtime, uncensored defaults, and ComfyUI integration make it the better choice for users who want a complete creative AI suite on their own hardware.

Frequently Asked Questions

Is Locally Uncensored better than Jan.ai?

It depends on your priorities. Locally Uncensored is better if you want text chat, image generation, and video generation in one app with a permissive MIT license. Jan.ai is better if you need cloud API support alongside local models and prefer a polished ChatGPT-like interface.

Does Jan.ai support image generation?

No. Jan.ai focuses on text-based LLM chat and cloud API integration. For local image and video generation, you need a tool like Locally Uncensored which integrates ComfyUI for Stable Diffusion, FLUX, and Wan 2.1 support.

Is Jan.ai open source?

Jan.ai is released under the AGPL v3 license, which is open source but has copyleft requirements. Locally Uncensored uses the more permissive MIT license, which allows unrestricted use, modification, and distribution.

Which uses less memory -- Locally Uncensored or Jan?

Locally Uncensored uses Tauri (Rust + system webview) which typically consumes 50-100 MB of RAM for the app shell. Jan uses Electron which bundles a full Chromium instance and often consumes 300-500 MB or more. Actual model inference memory depends on the model size, not the app.

Try Locally Uncensored

Free, open source, MIT licensed. One command to get started.

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