Houndsight.ai

Houndsight.ai is an AI agent observability tool that lets engineering teams monitor, trace, and audit every step an AI agent takes from trigger to execution. It acts as an observability layer for autonomous agents in production, giving developers visibility into what an agent did, why, and where it went wrong. Core capabilities include step-by-step tracing of agent runs, anomaly detection, usage analytics, and governance controls such as configurable floor rules that constrain agent behavior. An SDK lets developers instrument their own agents and pipe execution data into the platform for inspection. Houndsight.ai is aimed at teams deploying LLM-based agents who need to debug failures, audit decisions for compliance, and keep agent behavior under control once it is running live. Rather than helping you build agents, it sits on top of agents you already run, recording and surfacing their internal steps so you can find where a trigger led to an unexpected execution. This makes it most relevant for developer and platform teams moving AI agents from prototype into production, where understanding and governing every step becomes a requirement rather than a nice-to-have.

Teams use Houndsight.ai to monitor, trace, and audit the behavior of AI agents running in production.