Lemonade: Acts as an open-source local AI server supporting multimodal models, though it is less established as a desktop client. Jan records 291,894 monthly visits with -9.6% month-over-month growth and Free pricing. Lemonade records 96,232 monthly visits with -34.4% growth and Free pricing.
Open-source desktop AI that runs models locally on your own machine
Run local AI for text, images and speech on your own machine
| Dimension / Metric | ||
|---|---|---|
| Official Domain | jan.ai | lemonade-server.ai |
| Pricing Model | Free | Free |
| Monthly Visits | 291.89K (291,894) | 96.23K (96,232) |
| MoM Traffic Delta | -30.85K (-9.6%) | -50.54K (-34.4%) |
| Primary Market & Share | 🇺🇸 United States (23%) | 🇺🇸 United States (25.9%) |
| Direct Visits / mo | 105.62K | 29.62K |
| User Rating | 4.6 | 4.6 |
| Supported Platforms | Website | Website |
Open-source desktop AI that runs models locally on your own machine
Download and run open models such as Llama, Mistral, Qwen, Gemma, and DeepSeek directly on your own machine, with chat data kept on device.
Optionally connect API keys for OpenAI, Anthropic, Gemini, Mistral, and other providers to route requests to frontier models from the same interface.
Jan exposes a local server endpoint that follows the OpenAI API shape, so existing SDKs and tools can talk to your local models without code changes.
Create assistants with their own system instructions, model selection, and parameters, then reuse them across conversations.
Run local AI for text, images and speech on your own machine
Expose chat, vision, image, speech and embedding endpoints locally so existing OpenAI-API clients and SDKs work with minimal changes.
One install handles text generation, vision models, image generation, speech synthesis, speech-to-text transcription and embeddings.
Pull models from Hugging Face and ModelScope, swap backends, and route requests to LAN servers or cloud APIs when local hardware falls short.
Use the bundled chat app, automate with the CLI, or embed Lemonade inside your own product through the SDK.
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