Node-graph GUI and Python backend for running diffusion models to generate images, video, 3D, and audio locally.
A high-throughput LLM inference and serving engine featuring PagedAttention, continuous batching, and an OpenAI-compatible API server.
SGLang is an open-source inference framework for serving large language, vision-language, and diffusion models.
TokenSpeed is an LLM inference engine built for agentic workloads, with a C++ scheduler control plane and Python execution plane.
Scans git repos, files, and stdin for hardcoded secrets such as passwords, API keys, and tokens.
Native macOS and Apple Silicon inference server exposing OpenAI, Anthropic and Ollama APIs, with a Swift app, written in Zig.
Serves language models from a Zig binary on Apple Silicon and NVIDIA GPUs using Metal and CUDA kernels.
C/C++ inference engine for diffusion image and video models such as SD, Flux, Wan, and Qwen-Image, built on ggml.
Packages LLMs and a whisper-based speech-to-text tool into single executable files that run locally without installation.
Agent Mesh is a private network that lets AI agents publish and discover tools and models, with verifiable node identities.
Official C++ inference framework for 1-bit (1.58-bit) LLMs, providing optimized CPU and GPU kernels.
Static analyzer that finds bugs such as null dereferences and resource leaks in Java, C, C++, and Objective-C code.
Open source IaaS cloud platform that runs on bare metal providers, offering VMs, managed Postgres, Kubernetes, and networking.
A distributed file system from DeepSeek that uses SSDs and RDMA networks to serve storage for AI training and inference workloads.