Praes

Praes provides comprehensive visibility into your agent operations, offering a live cockpit to monitor every aspect of an agent's run. Key features include: * Live monitoring of agent activity * Detailed run timelines and event tracing * Memory context review and editing * Real-time cost tracking per run * Guardrail results and compliance checks This platform allows users to inspect status, models used, retries, and tool calls in a single, clean interface. It's built to simplify agent observability, ensuring you understand exactly what your agents are doing at every step. Praes prioritizes clarity, showing you active chains, guardrail states, and memory injection details instantly. Gain complete control over your agents with Praes. Review, tag, and evolve memory with clear provenance and fast search capabilities. Track token and tool spend as runs occur, empowering you to optimize performance and reduce expenditure confidently. Monitor guardrail adherence with visible principles and do/don't checks, ensuring agents maintain desired behavior. Praes is ideal for developers and operations teams working with OpenClaw agents who require deep insights into agent behavior, debugging, and performance optimization without complexity. It helps in quickly identifying tool failures by tracking call volume and error rates, preventing small issues from escalating.