LF AI & Data Foundation
Research
Why agentic AI systems can produce different results each time
Agentic AI applications can produce different results from the same request because of model inference, changing components and the way multi-agent systems assemble…
For developersStudents Learn How Open Source Tools Turn AI Demos Into Reliable Systems
An evening event at San José State University on October 19, 2026 showed students four tools aimed at the gap between a working AI demo and a system customers can trust…
For developersEgeria's Nanny Connectors Aim to Keep AI Context Current and Trusted
The Egeria project, an LF AI & Data effort for open metadata and governance, has described a family of "Nanny Connectors" that automate the upkeep of the metadata…