Sleeper Service: Agents as a Service. One agent. One task. A thousand of them (github.com)

Sleeper Service has launched an innovative open-source platform designed for managing fleets of narrow, single-purpose AI agents, effectively enabling "Agents as a Service." This self-hosted solution allows organizations to run multiple agents, each configured to perform specific tasks as API endpoints. By focusing on repeatable processes, instead of relying on one autonomous agent, Sleeper Service enhances task efficiency within existing workflows. Each agent logs its actions, ensuring that processes are both auditable and traceable, which is crucial for transparency and governance in automation. The significance of Sleeper Service lies in its ability to decompose complex back-office operations into smaller, manageable tasks that can leverage AI where traditional automation falls short. With built-in safety features, version control, and pluggable inference options from various model providers like OpenAI and Google, organizations can customize their workflows while maintaining strict oversight. Key technical elements include immutable versioning for agents, role-based access controls, and integration with orchestration tools like n8n and Airflow. This structured approach promotes team-based ownership of agents, facilitating safer operational conditions and, ultimately, smarter and more efficient AI-driven processes.