Show HN: AgentWatch – A terminal dashboard for monitoring AI Agent costs (github.com)

A new tool called AgentWatch has been introduced, providing real-time monitoring for costs and resource usage of AI agents. This terminal dashboard aims to help developers track their spending on large language model (LLM) tokens, ensuring they can manage operational expenses effectively. Additionally, it offers a resource monitor that allows users to observe CPU and RAM usage while agents operate, along with a live feed of agent activity logs presented in an auto-scrolling format. The significance of AgentWatch lies in its potential to enhance efficiency and cost management within the AI/ML community. As AI projects scale, keeping track of costs and resource utilization becomes critical to avoid overspending and system bottlenecks. With its zero-configuration setup, users can get started in just 30 seconds, making it an accessible tool for both novice and experienced developers. The simple installation process underscores its user-friendly design, allowing practitioners to focus on developing their AI solutions while maintaining visibility over their resources and costs.