Open source tools & services for reliable AI Agents & AI Applications
AI agents and AI applications are hard to build reliably due to fragmented workflow code and lack of first-class observability and introspection.
DAGWorks provides open-source Python frameworks plus an integrated development and observability platform to standardize and monitor data/ML/LLM/agent workflows.
Developers and teams building AI agents and AI applications in organizations of any size.
A hands-on leader and Silicon Valley veteran, Stefan has spent the last 15 years working on data and machine learning systems at companies like Stitch Fix, Idibon, Nextdoor, and LinkedIn. Before DAGWorks Inc., Stefan led the Model Lifecycle team at Stitch Fix, where its mission was to streamline the model productionization process for over 100+ data scientists. That's when he co-created https://github.com/dagworks-inc/hamilton, which he's excited to continue driving today with DAGWorks Inc.
Elijah has spent his career building tools for Data Scientists, Quantitative-minded engineers, and AI researchers. Prior to founding DAGWorks, Inc., Elijah built out Stitch Fix's machine learning platform, which was used and loved by over 100 data scientists. A core component of this was Hamilton (https://github.com/dagworks-inc/hamilton), an open-source framework for managing dataflows that DAGWorks's is now driving forward.




