Agent Control Plane offers a centralized control plane for designing, orchestrating, and operating autonomous AI agents at scale. Developers can configure agent behaviors via declarative definitions, integrate external services and APIs as tools, and chain multi-step workflows. It supports containerized deployments with Docker or Kubernetes, real-time monitoring, logging, and metrics through a web-based dashboard. The framework includes a CLI and RESTful API for automation, enabling seamless iteration, versioning, and rollback of agent configurations. With an extensible plugin architecture and built-in scalability, Agent Control Plane accelerates the end-to-end AI agent lifecycle, from local testing to enterprise-grade production environments.

Amon is a platform and framework for building autonomous AI agents that execute multi-step tasks without human intervention. Users define agent behaviors, data sources, and integrations via simple configuration files or an intuitive UI. Amon’s runtime manages agent lifecycles, error handling, and retry logic. It supports real-time monitoring, logging, and scaling across cloud or on-premise environments, making it ideal for automating customer support, data processing, code reviews, and more.