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.

Leap AI is an open-source platform and framework designed to simplify creation of AI-driven agents across various domains. With its modular architecture, developers can assemble components for API integration, conversational chatbots, music composition, and intelligent coding assistance. Using predefined connectors, Leap AI agents can call external RESTful services, process and respond to user input, generate original music tracks, and suggest code snippets in real time. Built on popular machine learning libraries, it supports custom model integration, logging, and monitoring. Users can define agent behavior through configuration files or extend functionality with JavaScript or Python plugins. Deployment is streamlined via Docker containers, serverless functions, or cloud services. Leap AI accelerates prototyping and production of AI agents for diverse use cases.