The Open Agent Hub
The Open Agent Hub is a collaborative community of open source AI projects and domain-specific work groups that seek to make AI Agents successful in the real world through fast experimentation and distillation of learning into usable reference architectures and implementations, and build out of new tools to enable development and deployment.
Agent Protocols
Empowering developers to build, connect, and manage open source AI agents using evolving standards and interoperable protocols.
Agent Blueprints
Offers domain-specific, open-source agent implementations and architectures to help developers build and deploy real-world AI agent applications.
Agent Tech Stacks
Provides reusable functions, UI tools, and frameworks for building, managing, and enriching sophisticated open source AI agents and applications.
Open Data and Models
Data is the heart of AI. And models are the heart of the intelligence of an AI system. The AI Alliance includes most of the companies and research labs that have built and released open models. The AI Alliance is focused on studying, tuning, adapting and applying open models and releasing them to advance open science and research and ensure they are useful to many people and organizations.
Open models
Develops open foundation models for semiconductors, maritime, materials, and geospatial science—plus libraries and benchmarks for robust, cross-domain AI research and applications.
Open Data and Tooling
Develops the tools and creates a catalog of datasets with clear licenses, explicit provenance, and governance for trustworthy AI model training and domain-specific applications. It aims to ensure datasets meet openness and trust standards for broad AI use.
Safety and Governance
AI Alliance’s governance, evaluation, and safety projects provide tools and guidance to ensure enterprise AI solutions are trustworthy, safe, and compliant, focusing on robust benchmarking, red-teaming, and best practices.
Achieving Confidence in Enterprise AI Applications
Creates reusable techniques and examples for deterministic and generative AI evaluation, helping enterprises ensure deployed AI meets safety and requirements standards.
Evaluation is for everyone
Designed for all AI builders, this initiative offers accessible trust and safety evaluation tools, making robust evaluations easy to find and implement for any AI application.
Evaluation Reference Stack
This companion project aggregates flexible, easy-to-use tools and packages for writing and executing AI evaluations, serving as a runtime stack for broader trust and safety initiatives.
Education and Advocacy
Advocates for healthy, sustainable, and open regulatory environments and technical standards in AI, aiming to ensure robust safety, security, and ethical practices across the industry.
United States
US-centric efforts focus on shaping national AI policy, supporting regulatory frameworks for open and responsible AI, and promoting workforce and infrastructure initiatives that align with American priorities.
Europe
European efforts are centered on advancing open innovation, responsible AI adoption, and ensuring the region’s technological sovereignty through collaborative policy development and sector-specific initiatives.
Asia Pacific
Asia Pacific (APAC) regions focus on expanding open-source AI collaboration, fostering trusted AI development, and supporting capacity-building, research, and industry engagement tailored to the region’s unique needs.