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lemonade-sdk/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/5xXzkMu8Zk observed · 2026-08-28

github.com/lemonade-sdk/lemonade · homepage · C++ · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

82/100

  • Activity 99
  • Release rhythm 87
  • Longevity 33
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 6.0
  • age_days: 475
  • days_rel: 7
  • days_push: 7
  • n_releases_24m: 69

Full methodology

Adoption not part of the score

5472 stars · 478 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Lemonade is a local AI server that runs optimized LLMs (plus image, speech, and embedding models) on your own GPU and NPU, exposing OpenAI-, Anthropic-, and Ollama-compatible APIs plus an MCP gateway. It ships as an installable service with GUI/CLI, an embeddable portable binary for bundling into apps, and includes AMD-specific optimizations for Ryzen AI, Radeon, and Strix Halo hardware.

Use cases

  • run local llm server with openai-compatible api on my pc
  • serve llama or qwen models on amd radeon gpu or ryzen ai npu
  • self-host a private chatgpt alternative with no telemetry
  • embed a local ai runtime into my desktop application
  • connect local llm to apps like open webui or coding agents
  • run an mcp server backed by local models
  • generate images and speech locally on windows
  • manage and download local llm models with a gui

When to choose

  • you want cloud-API-style local inference that works out-of-box with hundreds of existing apps
  • you're on AMD Ryzen AI, Radeon, or Strix Halo hardware and want vendor-optimized performance
  • you need multi-modal local AI (chat, vision, image, speech, embeddings) from one service
  • you want to bundle a private, customizable AI runtime into your own application
  • you need OpenAI, Anthropic, and Ollama API compatibility plus MCP from a single server

When to avoid

  • you need large-scale multi-node or cloud inference rather than single-PC local serving
  • you're locked into a specific inference stack like vLLM or TensorRT-LLM server features
  • you only need a lightweight library call rather than a running HTTP service
  • your target hardware lacks GPU/NPU acceleration and CPU-only speed is insufficient

Facets

service · maturity active

llm-inference http-server mcp sdk cli gui speech-recognition tts image-processing rag large-language-models artificial-intelligence self-hosted developer-tools machine-learning windows self-hosted cpp python local-ai openai-api-compatible npu amd-ryzen-ai radeon vulkan rocm llama-cpp onnxruntime ollama-compatible anthropic-compatible model-manager privacy embeddable linux macos docker gpu

7 sources

Member repositories

RepositoryRoleHealth v2
lemonade-sdk/lemonademain82

For agents

markdown · JSON · MCP: product_card(name="lemonade-sdk/lemonade")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem