Project categories
Through member-driven working groups, we bring together builders and experts from various fields to collaboratively and transparently address the challenges of generative AI and democratize its benefits.
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.
Empowering developers to build, connect, and manage open source AI agents using evolving standards and interoperable protocols.
Offers domain-specific, open-source agent implementations and architectures to help developers build and deploy real-world AI agent applications.
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.
Develops open foundation models for semiconductors, maritime, materials, and geospatial science—plus libraries and benchmarks for robust, cross-domain AI research and applications.
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.
Creates reusable techniques and examples for deterministic and generative AI evaluation, helping enterprises ensure deployed AI meets safety and requirements standards.
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.
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.
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.
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 (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.