As enterprise AI systems scale to handle complex workflows, practitioners face the challenge of routing subtasks to the right tools and skills. Agents can have hundreds of tools and skills and get ...

Graph of Trace is an agent-agnostic monitoring and visualization framework for scientific agents. It records fine-grained, user-verifiable execution events and organizes them into a directed acyclic ...

Abstract: Vision language models (VLMs) demonstrate impressive achievement across various tasks, while perform poorly on visual graph. Existing benchmarks evaluate VLMs’ performance by coupling graph ...

Magnetic graph matrices are powerful tools for modeling quantum systems and directed networks, but their application in network analysis has been limited by a lack of combinatorial understanding. We ...

The Jenkins job I inherited in 2019 had forty-seven stages. Forty-seven discrete boxes in the pipeline visualization, each one a Groovy script somebody had copy-pasted from Stack Overflow and then ...

The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...

Graphexp is a lightweight web interface to explore and display a graph stored in a Gremlin graph database, via the Gremlin server (version 3.2.x, 3.3.x or 3.4.x and above) Graphexp is under the Apache ...

For complex distributed systems that include services that constantly evolve in functionality and data, keeping overall latency to a minimum is a challenging task. Critical path tracing (CPT) is a new ...