Local desktop app for major platforms
Install the desktop app on macOS, Windows, Linux, or WSL, then choose a model and start chatting without a separate setup flow. The app supports local hardware and reports the devices it can use.
Unsloth
Unsloth is a free, open-source desktop app for running and training AI models on local hardware. It supports macOS, Windows, Linux, and WSL, with tools for model downloads, agent connections, media generation, and private research.
Overview
Unsloth is a free, open-source desktop app for running and training AI models on your own local hardware. The product is positioned as a local AI workspace for downloading models, chatting with them, training them, and connecting them to other tools without sending work off-device by default.
The desktop product supports macOS, Windows, Linux, and WSL, and its documentation describes workflows for text, diffusion image/video, audio, MLX, and GGUF models. It also exposes an OpenAI-compatible API and an unsloth start command so coding agents and existing apps can connect to local models through a familiar interface.
Unsloth is aimed at people who want local model access, media generation, fine-tuning, agent workflows, and private web search in one desktop environment. The pricing page shows a free open-source version, with Pro and Enterprise options available for higher-performance training and additional deployment features.
Features
Multi-model local workflows
Download and run text, image, video, audio, MLX, and GGUF models from the same interface. The docs describe support for fine-tuning, deployment, and media generation from local hardware.
Image and video generation tools
Create and train image and video outputs with supported diffusion models and LoRA adapters. The source also describes image transform, inpaint, extend, upscale, reference, and edit workflows.
Agent connection with unsloth start
Run Claude Code, Codex, Hermes, OpenCode, Pi, and other agents against a local model with unsloth start. Unsloth configures the endpoint, provider, API key, model, and context length for the launch.
OpenAI-compatible and cloud-capable API
Use an OpenAI-compatible API so existing apps, scripts, and SDKs can connect to local models through a familiar interface. The app can also connect to cloud model providers through the same chat interface.
Built-in web search and research
Search the web from inside the desktop app with private web search and deep research. The docs say search can run while the model is thinking and can produce citation-backed reports.
Tool calling and sandboxed code execution
Execute Bash and Python in a secure sandbox and use self-healing tool calls that detect, repair, and retry failures. The docs also mention permission controls and optional direct file access with user approval.
Use Cases
Local chat with downloaded models
Download a model, choose a quantization that fits your device, and start chatting locally with no separate server setup. This fits people who want a simple offline model workspace on their own machine.
Training and fine-tuning local models
Use the no-code training workflow to fine-tune text, diffusion, audio, or image models from local files such as PDFs, CSVs, JSON, or image sets. The docs also mention LoRA, full fine-tuning, and pretraining.
Local image and video creation
Generate or edit images and video with supported diffusion models and LoRA adapters, including inpainting, extending, upscaling, and reference-based editing. This suits creators who want to work locally on media generation tasks.
Coding agents on local LLMs
Connect Claude Code, Codex, or other agents to a local model with unsloth start so coding workflows can run on your machine. The integration guide says Unsloth handles endpoint and session configuration for each launch.
Private research and source collection
Use the built-in web search and deep research tools when you need private, citation-backed research inside the same desktop environment. This is useful for users who want model responses grounded in current sources without switching apps.
Pros and Cons
Pros
- Free and open source, with a desktop workflow that can run entirely offline.
- Supports macOS, Windows, Linux, and WSL.
- Combines local chat, model training, media generation, web search, and agent connections in one app.
- Offers an OpenAI-compatible API for existing apps, scripts, and SDKs.
- Includes permission controls and a secure sandbox for tool execution.
Cons
- Some advanced agent workflows require specific model formats or launch options; for example, the docs note that Codex currently needs a GGUF model served through llama-server.
- The documentation says older hardware may not be well supported.
- A number of features depend on local model availability and device capability, so performance and compatibility can vary by setup.
FAQ
What platforms does Unsloth Desktop support?
Unsloth Desktop is available for macOS, Windows, Linux, and WSL. The download page also offers platform-specific installers and terminal-based installation options.
Does Unsloth collect telemetry or require the internet?
No. The documentation says there is no telemetry, and the app can run entirely offline on your own hardware.
Can other apps and coding agents connect to local models in Unsloth?
Yes. The docs say Unsloth exposes an OpenAI-compatible API and can also connect agents such as Claude Code and Codex to local models.
What kinds of models can Unsloth work with?
Unsloth can run and train text, diffusion image/video, audio, and some MLX/GGUF models locally. The docs also note cloud models can be used through the same chat interface.
Are all coding agents supported the same way?
For some agent workflows, yes. The integration guide notes that Codex currently requires a GGUF model served through the llama-server backend, while other agents can use unsloth start more directly.
Quick Facts
- Category
- Local AI desktop app
- Platforms
- macOS, Windows, Linux, WSL
- Deployment
- Local by default; Cloudflare HTTPS tunnel available
- Pricing
- Free open-source version; Pro and Enterprise plans available
- Integrations
- Claude Code, Codex, Hermes, OpenCode, Pi, OpenAI-compatible API
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