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Data / Repositories / LLM inference

LLM inference repositories on GitHub: 9 ranked by stars

9 public repositories tagged LLM inference are on GitHub, with 29,780 stars between them; 6 had a push in the last 30 days. Most are written in Rust (4), C++ (1), Python (1). The most starred: Michael-A-Kuykendall/shimmy (5,976), lemonade-sdk/lemonade (5,863), ruvnet/RuVector (4,565).

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Every repository, most starred first

RepositoryWhat it isLanguageStarsForksLicenseLast pushRead
Michael-A-Kuykendall/shimmyPure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.Rust5,976585Apache-2.0Aug 30Oct 14
lemonade-sdk/lemonadeLemonade helps users discover and run local AI apps by serving optimized LLMs right from their own GPUs and NPUs.C++5,863526Apache-2.0Oct 11Oct 11
ruvnet/RuVectorRuVector provides High Performance, Real-Time decisions and agent memory , Self-Learning Ai, Vector GNN DB built in Rust.Rust4,565611MITOct 14Oct 14
algorithmicsuperintelligence/optillmOptimizing inference proxy for LLMsPython4,317394Apache-2.0Oct 11Oct 14
spiceai/spiceaiAdd a real-time analytics node to your operational database. Spice is a portable, accelerated SQL query, search, and LLM-inference engine in Rust for data-grounded AI apps and…Rust3,099236Apache-2.0Oct 14Oct 14
microsoft/aiciAICI: Prompts as (Wasm) ProgramsRust2,07786MITJan 22, 2025Oct 11
pallavi-shekhar/ai-engineering-interview-questions-company-wiseYour Cheat Sheet For AI Engineering Interviews at Top AI Companies - Questions and Answers.Markdown1,748175Apache-2.0Oct 12Oct 15
taielab/awesome-hacking-listsA curated collection of top-tier penetration testing tools and productivity utilities across multiple domains. Join us to explore, contribute, and enhance your hacking toolkit!1,393268Dec 4, 2025Oct 11
v-modal/awesome-jev-toolsA curated list of tools built for Jev — TypeSafe AI's System One model for typed decisions.74251Oct 9Oct 15

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Read from GitHub by SpecStream between October 11, 2026 and October 15, 2026; each row shows the day its repository was read. Stars and pushes change every day, and the GitHub page is the current one. Forks and archived repositories are left out.