
Sailhouse provides a control plane to deploy, monitor, and scale production AI agents, managing orchestration, routing, and observability across distributed workloads.
Sailhouse is an agent control plane designed for running AI agents reliably in production environments. It provides a centralized platform to deploy, monitor, and scale agent-based workloads without requiring teams to build and maintain complex orchestration layers or custom infrastructure. The primary purpose of Sailhouse is to make it straightforward for engineering and data teams to move from prototype agents to robust, observable, and scalable production systems.
The platform offers tools for defining and managing agents, configuring their behaviors, and integrating them with existing services and data sources. It supports versioned deployments, enabling safe rollouts, rollbacks, and experimentation across multiple agent variants. Built-in monitoring and logging provide visibility into agent performance, latency, error rates, and usage patterns, helping teams debug issues and optimize behavior over time. Sailhouse also focuses on operational concerns such as concurrency control, resource management, and horizontal scaling, so agents can handle real-world traffic and workloads.
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