AI agents connect language models to tools, software, and real tasks. That ability to act makes security, visibility, and oversight essential parts of their development.
01 / Community and participation
Help more people participate in AI agent development.
Rein brings learners, researchers, and practitioners together to share knowledge and work on agent safety. Our role as a nonprofit includes supporting open-source projects, research, public discussion, and access to learning.
Members can meet at events, exchange ideas online, contribute learning materials, and guide peers moving into AI agent roles. These relationships help people turn an interest in the field into informed participation.
02 / Security, visibility, and oversight
Understand what agents do. Keep their actions accountable.
Agent safety includes the systems around a language model: the harness that coordinates its work, the tools it can use, and the permissions it receives. We support work that makes those systems easier to inspect, test, and supervise.
Our areas of interest include monitoring agent behavior, detecting security threats and failures, explaining actions, and enabling human intervention. The long-term goal is to prevent serious harm to people and society as agents take on greater responsibilities.
We believe AI agents can help monitor and supervise other agents, with people setting the rules and remaining accountable.
03 / An AI-native organization
Use agents to advance agent safety.
We use AI agents to help operate and grow Rein. Applying them to research, coordination, and oversight also helps us understand the safety infrastructure an AI-native organization needs.
Our early programs focus on in-person events and an online community for discussions, presentations, shared learning, and career guidance. These activities support a broader mission of open-source development and safety research.
Explore our early programs