XAGen: A New Explainability Tool for Multi-Agent Workflows
Research#Agent🔬 Research|Analyzed: Jan 10, 2026 09:23•
Published: Dec 19, 2025 18:54
•1 min read
•ArXivAnalysis
This article introduces XAgen, a novel tool designed to enhance the explainability of multi-agent workflows. The research focuses on identifying and correcting failures within complex AI systems, offering potential improvements in reliability.
Key Takeaways
- •XAGen aims to improve the understanding of multi-agent system behavior.
- •The tool focuses on pinpointing and resolving issues in workflow execution.
- •The research contributes to making AI systems more reliable and trustworthy.
Reference / Citation
View Original"XAgen is an explainability tool for identifying and correcting failures in multi-agent workflows."