Best Open-Source AI Tools
Transparent, self-hostable and free to inspect — the strongest open-source AI projects worth your attention.
2 tools in this collection
Stability AI
Stability AI develops the Stable Diffusion family of open image models and a hosted platform around them. The web app generates images from text and images, with editing tools for inpainting, upscaling and structure control. Developers can access the same models through an API for products and pipelines, and many weights are published openly for self-hosting. The company also offers video and audio models. Paid credits cover hosted generation; the open models are free to run on your own hardware under their licences. It suits teams that want flexibility between a managed service and running models themselves, from indie developers to studios with GPU infrastructure.
Ollama
Ollama lets you run open-weight language models on your own machine with a single command. It handles model downloads, GPU acceleration and local serving, exposing an API compatible with common OpenAI-style clients. The library includes models for chat, coding, vision and embeddings, from laptop-friendly options to larger models for workstations. Because everything runs locally, prompts and data never leave your computer — useful for confidential work, offline use and experimentation without per-token costs. It runs on macOS, Linux and Windows, and integrates with tools like Open WebUI. It is the simplest way to start with local LLMs, though large models need substantial RAM and a capable GPU.