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Lemonade

Lemonade

Local
lemonade-server.aiAI & Agents6.0kUpdated today

About Lemonade

Lemonade is a local inference server for AI users and application developers, running text and multimodal models on CPUs, GPUs, and NPUs. It comes as a server or an embeddable binary and supports OpenAI, Anthropic, and Ollama APIs.

Key features

  1. 01Run text and multimodal models locally
  2. 02Use CPU, GPU, and NPU inference
  3. 03Manage and download models
  4. 04Use built-in generation interfaces
  5. 05Connect through APIs and CLI

Use cases

  1. 01Chat with or code using local LLMs
  2. 02Generate images and speech, or transcribe audio
  3. 03Embed local AI capabilities in an application

MCP support

The input does not describe how Lemonade relates to MCP.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

🍋 Lemonade: Refreshingly fast local AI

Discord PRs Welcome Latest Release GitHub downloads GitHub issues License: Apache Star History Chart

Lemonade Banner

Download | Documentation | Discord

Lemonade is the local AI server that gives you the same capabilities as cloud APIs, except 100% free and private. Use the latest models for chat, coding, speech, and image generation on your own NPU and GPU.

Lemonade comes in two flavors:

  • Lemonade Server installs a service you can connect to hundreds of great apps using standard OpenAI, Anthropic, and Ollama APIs.
  • Embeddable Lemonade is a portable binary you can package into your own application to give it multi-modal local AI that auto-optimizes for your user’s PC.

This project is built by the community for every PC, with optimizations by AMD engineers to get the most from Ryzen AI, Radeon, and Strix Halo PCs.

Getting Started

  1. Install: Windows · Linux · macOS · Docker · Source
  2. Get Models: Browse and download with the Model Manager
  3. Generate: Try models with the built-in interfaces for chat, image gen, speech gen, and more
  4. Mobile: Take your lemonade to go: iOS · Android · Source
  5. Connect: Use Lemonade with your favorite apps:

Claude Code  Firefox Chatbot  AnythingLLM  Dify  GAIA  GitHub Copilot  Infinity Arcade  n8n  Open WebUI  OpenHands

Want your app featured here? Just submit a marketplace PR!

Supported Platforms

PlatformBuild
Arch LinuxArch package
Debian Trixie+Build .deb
DockerBuild Container Image
Fedora 43+Build .rpm
macOSBuild .pkg
SnapBuild Snap
Ubuntu 24.04+Build Launchpad PPA
Windows 11Build .msi

Using the CLI

To run and chat with Gemma:

lemonade run Gemma-4-E2B-it-GGUF

To code with Lemonade models:

lemonade launch claude

Multi-modality:

# image gen
lemonade run SDXL-Turbo

# speech gen
lemonade run kokoro-v1

# transcription
lemonade run Whisper-Large-v3-Turbo

To see available models and download them:

lemonade list

lemonade pull Gemma-4-E2B-it-GGUF

To manage model aliases for environment-independent naming and active-standby failover:

lemonade alias add production-llm Gemma-4-E2B-it-GGUF
lemonade alias list

# Instant active-standby failover to a different model target
lemonade alias add production-llm Qwen3-0.6B-GGUF
lemonade alias remove production-llm

To see the backends available on your PC:

lemonade backends

For hybrid setups, Lemonade can also route to any OpenAI-compatible cloud provider (Fireworks, OpenAI, OpenRouter, Together, …) alongside local models — see Cloud Offload. (Experimental.)

Model Library

Model Manager

Lemonade supports a wide variety of LLMs (GGUF, FLM, and ONNX), whisper, stable diffusion, etc. models across CPU, GPU, and NPU.

Use lemonade pull or the built-in Model Manager to download models. Custom GGUF/ONNX models can be pulled from Hugging Face or ModelScope, with their source retained for future updates.

Browse the included model catalog →


Supported Configurations

Lemonade supports multiple inference engines for LLM, speech, TTS, and image generation, and each has its own backend and hardware requirements.

ModalityEngineBackendDeviceOS
Text generationllamacppsystemx86_64/ARM64 CPU, GPULinux
metalApple Silicon GPUmacOS
cudaNVIDIA GPUs (Turing or newer)**Windows, Linux
vulkanx86_64 CPU, AMD iGPU, AMD dGPU; ARM64 CPU/GPU (Linux)Windows, Linux
rocmAMD GPUs supported by ROCmWindows, Linux
cpux86_64 CPU; ARM64 CPU (Linux)Windows, Linux
llamacpp-hrxhrx†AMD GPUs (gfx1100, gfx1151)Linux
flmnpuXDNA2 NPUWindows, Linux
ryzenai-llmnpuXDNA2 NPUWindows
vllmrocm†Strix Halo iGPU (gfx1151)Linux
ds4rocm‡Prebuilt ds4 for AMD Strix HaloLinux
Speech-to-textwhispercppnpuXDNA2 NPUWindows
metalApple Silicon GPUmacOS
vulkanx86_64 CPUWindows, Linux
rocmSupported AMD ROCm iGPU/dGPU families*Windows, Linux
cpux86_64 CPUWindows, Linux
moonshinecpux86_64/arm64 CPUWindows, Linux, macOS
Text-to-speechkokorometalApple Silicon GPUmacOS
cpux86_64 CPUWindows, Linux
openmosscuda†NVIDIA GPUsWindows, Linux
vulkan†Vulkan-capable GPUsWindows, Linux
Audio generationthinksoundcuda†NVIDIA GPUsWindows, Linux
vulkan†Vulkan-capable GPUsWindows, Linux
rocm†Supported AMD ROCm iGPU/dGPU families (ROCm via TheRock)Windows, Linux
acestepcuda†NVIDIA GPUsWindows, Linux
vulkan†Vulkan-capable GPUsWindows, Linux
rocm†Supported AMD ROCm iGPU/dGPU families (ROCm via TheRock)Windows, Linux
Image generationsd-cppmetalApple Silicon GPUmacOS
cudaNVIDIA GPUs (Turing or newer)**Windows, Linux
vulkanVulkan-capable GPUsWindows, Linux
rocmSupported AMD ROCm iGPU/dGPU families*Windows, Linux
cpux86_64 CPUWindows, Linux
thenoiserocmSupported AMD ROCm familiesWindows, Linux
3D generationtrelliscuda†NVIDIA GPUsWindows, Linux
vulkan†Vulkan-capable GPUsWindows, Linux
rocm†Supported AMD ROCm iGPU/dGPU families (ROCm via TheRock)Windows, Linux
Text classificationonnxruntimecpu†x86_64 CPUWindows
cpu†x86_64/arm64 CPULinux
cpu†arm64 CPUmacOS

† experimental backend, ‡ guest backend. See Backend Tiers and Formats.

To check exactly which recipes/backends are supported on your own machine, run:

lemonade backends
* See supported AMD ROCm platforms
ArchitecturePlatform SupportGPU Models
gfx1151 (STX Halo)Windows, UbuntuRyzen AI MAX+ Pro 395
gfx120X (RDNA4)Windows, UbuntuRadeon AI PRO R9700, RX 9070 XT/GRE/9070, RX 9060 XT
gfx110X (RDNA3)Windows, UbuntuRadeon PRO W7900/W7800/W7700/V710, RX 7900 XTX/XT/GRE, RX 7800 XT, RX 7700 XT
** See supported NVIDIA CUDA platforms
Compute CapabilityArchitectureGPU Models
sm_75TuringRTX 20-series, GTX 16-series, T4
sm_80 / sm_86AmpereRTX 30-series, A100, A40
sm_89Ada LovelaceRTX 40-series, L40, L4
sm_90HopperH100, H200
sm_100 / sm_120BlackwellRTX 50-series, B100, B200

Project Roadmap

Lemonade's roadmap is defined by a set of working groups. Visit the landing page here to learn each group's goal and roadmap.

Integrate Embeddable Lemonade in Your Application

Embeddable Lemonade is a binary version of Lemonade that you can bundle into your own app to give it a portable, auto-optimizing, multi-modal local AI stack. This lets users focus on your app, with zero Lemonade installers, branding, or telemetry.

Check out the Embeddable Lemonade guide.

Connect Lemonade Server to Your Application

You can use any OpenAI-compatible client library by configuring it to use http://localhost:13305/v1 as the base URL. A table containing official and popular OpenAI clients on different languages is shown below.

Feel free to pick and choose your preferred language.

PythonC++JavaC#Node.jsGoRubyRustPHP
openai-pythonopenai-cppopenai-javaopenai-dotnetopenai-nodego-openairuby-openaiasync-openaiopenai-php
Python Client Example
from openai import OpenAI

# Initialize the client to use Lemonade Server
client = OpenAI(
    base_url="http://localhost:13305/api/v1",
    api_key="lemonade"  # required but unused
)

# Create a chat completion
completion = client.chat.completions.create(
    model="Gemma-4-E2B-it-GGUF",  # or any other available model
    messages=[
        {"role": "user", "content": "What is the capital of France?"}
    ]
)

# Print the response
print(completion.choices[0].message.content)

Click to learn more about the available APIs and how to embed Lemonade in your own application.

FAQ

To read our frequently asked questions, see our FAQ Guide

Contributing

Lemonade is built by the local AI community! If you would like to contribute to this project, please check out our contribution guide.

Maintainers

This is a community project with many maintainers, please see the maintainers list here to see their subject areas. You can reach us by filing an issue or joining our Discord. This project is sponsored by AMD.

Code Signing Policy

Free code signing provided by SignPath.io, certificate by SignPath Foundation.

Privacy policy: This program will not transfer any information to other networked systems unless specifically requested by the user or the person installing or operating it. When the user requests a model download or registry lookup, Lemonade may contact Hugging Face Hub (see their privacy policy) or ModelScope, according to the model source selected by the user or packager.

License and Attribution

This project is:

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.