LibreAI / Local LLM / lemonade
// local-llm · lemonade-sdk/lemonade

lemonade

Discover and run local AI apps, serving optimized LLMs from your own GPU and NPU.

★ 5.8k stars⑂ 522 forksApache-2.0updated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

lemonade is an open-source local llm project by lemonade-sdk (lemonade-sdk/lemonade on GitHub). It has 5,844 GitHub stars and 522 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.

GitHub stars
5,844
Forks
522
License
Apache-2.0
Last updated on GitHub
8 October 2026
Category
Local LLM
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Clarify your local AI goal

    Decide which models you want to run locally — chat, image generation, speech or transcription — and check your GPU/NPU hardware.

  2. Install Lemonade

    Download the latest release installer for your platform (Windows, Debian and more) from GitHub Releases.

  3. Pull a model

    Use the CLI to list and pull a model from the built-in library, sized for your hardware.

  4. Run and connect

    Run the model and point your favorite app at the server's OpenAI-compatible API.

// features

Why people love it

Local LLM serving

Serves optimized LLMs from your own GPU and NPU, with backends tuned per hardware configuration.

Standard APIs

Connects to hundreds of apps through standard OpenAI, Anthropic and Ollama API surfaces.

Multimodal model library

One CLI runs chat models, image generation (SDXL-Turbo), speech generation (Kokoro) and transcription (Whisper) models.

Aliases and failover

Create model aliases and add multiple targets for instant active-standby failover between models.

Embeddable binary

A portable Embeddable Lemonade binary can be packaged into your own application to give it optimized local AI.

Agent-ready

Ships an MCP server and can launch tools like Claude Code against your local models with lemonade launch.

Advertisement
// run it

Run it yourself

  1. Clone the repository

    Clone Lemonade if you want the source; most users install the release build for their platform.

    git clone https://github.com/lemonade-sdk/lemonade.git
    cd lemonade
  2. Install and pull a model

    Install the latest release from GitHub, list the library, and pull a model that fits your hardware.

    lemonade list
    lemonade pull Gemma-4-E2B-it-GGUF # see README for the exact command
  3. Run the model

    Serve the model locally and call it through the OpenAI-compatible API.

    lemonade run Gemma-4-E2B-it-GGUF
// use cases

What you can build

Advertisement
// faq

Questions, answered

Who maintains Lemonade?

Lemonade is maintained by the lemonade-sdk organization and its community of committers and reviewers.

Is Lemonade free?

Yes — it is open source under the Apache-2.0 license, and the models it serves are downloaded from their respective publishers.

Does it need a paid API key?

No. Models run on your own hardware; no cloud API key is involved.

How does it compare to Ollama?

Both serve local models with familiar APIs; Lemonade's emphasis is optimization for AMD GPUs and NPUs (Ryzen AI, Radeon, ROCm) plus a multimodal library and an embeddable build, and it can present an Ollama-compatible API itself.

How do I get started?

Install the release build, run lemonade list, pull a model, and lemonade run it.

// keep exploring

Similar tools

Local LLM

GPT4All

GPT4All — run local LLMs on any device: a free desktop chat client and Python SDK that run open models entirely on your CPU, no GPU or cloud required

★ 77.4k starsMIT
View guide →
Local LLM

BrowserAI

Run local LLMs like Llama and DeepSeek right inside your web browser.

★ 1.5k starsMIT
View guide →
Local LLM

whatcanirun

Find the best local models for your hardware — and how to run them.

★ 247 starsMIT
View guide →
Local LLM

llamafile

Distribute and run LLMs with a single file.

★ 26.2k starsUnknown
View guide →
Local LLM

mlc-llm

Compile and run LLMs anywhere - phones, laptops, browsers and GPUs - with one engine

★ 23.2k starsApache-2.0
View guide →
Local LLM

Soup

Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.

★ 8.1k starsApache-2.0
View guide →
// alternatives

Alternatives in Local LLM

The most-starred other Local LLM projects in the LibreAI catalogue — the realistic shortlist if lemonade is not the right fit.

Get lemonade

Free and open — grab the source, star the repo, and start creating.