Open Source
Explore the latest AI open-source projects from GitHub and HuggingFace.
Explore the latest AI open-source projects from GitHub and HuggingFace.
llama.cpp is a pure C/C++ LLM inference engine with no external dependencies, enabling high-performance local inference across a wide range of hardware. It supports Apple Silicon via Metal, NVIDIA CUDA, AMD ROCm, Intel SYCL, Vulkan, and ARM NEON — from Raspberry Pi 5 boards to multi-GPU servers. In March 2026, it crossed 100,000 GitHub stars, making it the fastest open-source AI project to reach that milestone, with over 700 contributors and 3,800+ merged pull requests in 2025 alone.
ollama
The simplest way to run LLMs locally with 165K+ GitHub stars. One-command deployment, 100+ models, REST API, and multi-platform support.
vLLM Project
A high-throughput, memory-efficient LLM inference and serving engine built around PagedAttention, with an OpenAI-compatible API and 200+ model support.
unslothai
2x faster LLM fine-tuning with 70% less VRAM via custom Triton kernels. Supports Llama, Qwen, DeepSeek, Gemma, and 500+ models.
BerriAI
MIT-licensed Python SDK and self-hosted AI Gateway that exposes 100+ LLM providers — OpenAI, Anthropic, Gemini, Bedrock, Azure, VertexAI, vLLM, NVIDIA NIM, and more — through an OpenAI-compatible interface, with virtual keys, spend tracking, load balancing, fallbacks, guardrails, and observability callbacks for Lunary, MLflow, and Langfuse.