lemonade
Lemonade helps users discover and run local AI apps by serving optimized LLMs right from their own GPUs and NPUs. Join our discord: https://discord.gg/5xXzkMu8…
What it does
Core capabilities at a glance
- AMD
- Genai
- GPU
- Llama
- LLM Inference
- Local Server
- MCP
- MCP Server
Deep dive
The full breakdown - performance, comparisons, and setup
lemonade
lemonade is a local inference server - Lemonade helps users discover and run local AI apps by serving optimized LLMs right from their own GPUs and NPUs. Join our discord: https://discord.gg/5xXzkMu8Zk.
Overview
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 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.
- 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:
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. You can also import custom GGUF/ONNX models from Hugging Face.
lemonade is open-source, written primarily in C++, with 4,236 GitHub stars under the Apache 2.0 license. The latest release is v10.6.0 (2026-05-21).
Key capabilities
From the project's documentation:
- Committers and reviewers: Maintainers of this repo
- Built with C++ (server) and React (app) with ❤️ for the open source community,
- Standing on the shoulders of great tools from:
- Licensed under the Apache 2.0 License.
- Portions of the project are licensed as described in LICENSE.
How it fits a local-AI stack
lemonade runs on your own hardware, so pair it with a model and a GPU sized to your needs. Use the VRAM calculator to pick a model that fits your card, and see what you can run for hardware guidance. Related local inference servers in the directory:
Sources
- Source code & docs: lemonade-sdk/lemonade
- Official website: https://lemonade-server.ai/
Stats from GitHub, 2026-06-08.
Frequently asked
Quick answers to common questions
What is lemonade?
lemonade is a inference-server tool for local AI workloads. Lemonade helps users discover and run local AI apps by serving optimized LLMs right from their own GPUs and NPUs. Join our discord: https://discord.gg/5xXzkMu8…
Is lemonade free and open source?
Yes, lemonade has 4,236 GitHub stars and is licensed under Apache 2.0. You can self-host it for free on macos, linux, windows, docker.
What platforms does lemonade support?
lemonade runs on macos, linux, windows, docker.
What hardware do I need for lemonade?
The hardware requirements depend on which models you run. Check our hardware directory for compatible GPUs and systems. lemonade has 4,236 GitHub stars and an active community.
Does lemonade support GPU acceleration?
lemonade supports GPU acceleration via CUDA, Metal, or Vulkan depending on your platform. For the best performance, pair it with an NVIDIA RTX 4090 or 5090.
What are the best alternatives to lemonade?
Popular alternatives include other inference-server tools in our directory. Browse our full collection at /tool for comparisons, community reviews, and benchmark data to find the right fit for your workflow.
How much does lemonade cost?
lemonade is free-open-source. It is completely free and open source to self-host.
Pairs well with
Complementary tools, models, and hardware
Comments coming soon
Configure NEXT_PUBLIC_GISCUS_REPO_ID and NEXT_PUBLIC_GISCUS_CATEGORY_ID at giscus.app to enable.