cyberark/agentwatch
A powerful AI observability framework that provides comprehensive insights into agent interactions across platforms, enabling developers to monitor, analyze, and optimize AI-driven applications with minimal integration effort.
This framework helps AI developers understand how their AI agents interact with different tools and large language models (LLMs) across various platforms. It takes your existing Python-based AI agent code and provides real-time logs and intuitive visualizations of all agent activities. AI developers and engineers would use this to debug, monitor, and optimize their AI-driven applications.
109 stars. No commits in the last 6 months.
Use this if you are developing AI agent applications in Python and need clear visibility into their internal workings and interactions to ensure they are performing as expected.
Not ideal if you are not a developer building AI agent applications, or if your application is not primarily written in Python.
Stars
109
Forks
8
Language
Python
License
Apache-2.0
Category
Last pushed
May 14, 2025
Commits (30d)
0
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