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The open source projects that made the biggest impact in 2026
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9An open protocol that connects AI applications to external data sources, tools, and workflows through standardized interfaces.
8An open-source inference and serving engine for running large language models efficiently across many architectures and accelerator types.
8An open-source durable-execution platform for building applications that resume reliably after crashes, network failures, or outages.
8An AI assistant for conversational search, writing, reasoning, coding, and multimodal tasks across web and mobile.
A public-preview moderation model that classifies safety risks in text and images using natural-language policy questions.
7An open-weights 5.6B-parameter image generation model that delivers frontier-model quality while running on a single consumer GPU. It supports native 4K generation, bounding-box control, and pixel-perfect editing, and was trained for high throughput on NVIDIA hardware.
5An open-weight language-model family with Pro and Flash variants for reasoning, coding, and agent workflows with million-token context.
5An open-source language model for complex software engineering and long-running agent tasks, with a one-million-token context window.
5An open-source AI assistant users run on their own infrastructure to coordinate tasks through connected tools and messaging channels.
4An open-source terminal coding agent that reads repositories, edits files, runs commands, and coordinates development tasks on a local computer.
4An open-source AI coding agent for writing software from the terminal, IDE, or desktop with models from any provider.
3An open-weight reasoning model family that developers can customize and deploy locally or in their own infrastructure.
3A reactive backend platform combining a database, TypeScript functions, realtime synchronization, file storage, and search for application development.
3An open-weight multimodal model combining text, image, and video understanding with visual coding and coordinated agent workflows.
3A local application and model runtime downloads and runs open models, with an API for integrating model inference into applications.
3A robotics learning framework with datasets, pretrained policies, and tools for training and deploying robot behaviors.
3A family of open AI models, datasets, and development recipes for building reasoning, multimodal, and agentic applications.
2An open-source compute engine and libraries for scaling Python applications, data processing, model training, and inference across distributed infrastructure.
2Open language models with training data, code, recipes, and checkpoints for studying and adapting model behavior.
0An open-source command-line framework builds, tests, and documents data transformations, with versioned SQL models and extensible data-platform adapters.