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lemonade

lemonade-sdk/lemonade

Serves optimized LLMs locally via GPUs and NPUs

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

33views this month

5.7k stars504 forksLast push Sep 19, 2026 C++ Apache-2.0

Decision brief

Lemonade specializes in serving optimized LLMs locally with support for both GPUs and NPUs.

Good fit when

  • - For users looking to leverage their own GPU or NPU hardware to serve fine-tuned language models.
  • - In environments that require high performance but have strict data privacy constraints, as it allows local deployment.

Avoid when

  • - If you do not have access to a compatible GPU or NPU device for running the LLMs locally.
  • - For projects requiring cloud-based services and APIs over local deployment, Lemonade may introduce additional complexity in setup and maintenance compared to fully managed solutions.

Observed Jul 14, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (0d since push)
As of Sep 19, 2026
Provenance
Not a fork · Organization account
As of Sep 19, 2026
Security (OSV)
No MCP manifest
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/lemonade-sdk/lemonade

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Lemonade is a toolkit that focuses on deploying and running local AI applications by serving fine-tuned LLM models directly on GPU and NPU hardware.

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Sep 19, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Sep 19, 2026

Languages
c++

Source: github.language · Sep 19, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

OpenAI APIOpenAI API

Source: README excerpt (regex_v1, Sep 19, 2026)

- [OpenAI API](htt
Source link

Tags

README

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 ·...

For agents

This page has a .md twin and JSON over the API.

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