AITX Community x NVIDIA Claw Agent Hackathon

AITX Community is partnering with NVIDIA for a hands-on Claw Agents hackathon focused on building real autonomous agent applications. Participants will build agents that do more than chat: they should take action, coordinate tools, and produce a working demo by the end of the event. This is built for AI engineers, builders, founders, researchers, and technical operators who want to experiment with the next generation of agentic systems. What you’ll build Teams will build a working autonomous agent application. Strong projects will show: Potential project directions Who should apply? This event is ideal for builders with experience in AI engineering, full-stack development, infrastructure, automation, agents, open-source tooling, or applied ML. You do not need to be an expert in building Agents before arriving, but you should be comfortable learning quickly and shipping a demo. Why attend? You’ll get hands-on time with emerging NVIDIA agent infrastructure, meet other serious AI builders in Austin, and build alongside a community focused on practical, technically ambitious AI applications. Expect a fast-moving builder environment, technical support, team formation, sponsor resources, live demos, and prizes for the strongest projects. Their support makes this Hackathon possible. Red Hat AI Red Hat AI is a big player in the open-source AI ecosystem. It actively contributes to numerous projects, including InstructLab, which enables fine-tuning of large language models (LLMs) on consumer-grade hardware, and vLLM, a library designed for efficient LLM inference and model serving. Additionally, Red Hat offers an enterprise-grade AI platform that supports end-to-end development of AI-powered applications. HiddenLayer HiddenLayer is a leading AI security company focused on protecting machine learning models, generative AI applications, and agentic systems from emerging threats. HiddenLayer is built for organizations deploying AI at scale that need to secure models, prevent misuse, protect intellectual property, and maintain compliance without slowing down AI adoption.