OCO-Agent leverages OpenAI-compatible language models to transform plain-language prompts into actionable workflows. It provides a flexible plugin system for integrating external APIs, shell commands, and data-processing routines. The framework maintains conversation history and context in memory, enabling long-running, multi-step tasks. With a CLI interface and Docker support, OCO-Agent accelerates prototyping and deployment of intelligent assistants for operations, analytics, and developer productivity.

At its core, AGIFlow provides an intuitive canvas where users can assemble AI agents into dynamic workflows, defining triggers, conditional logic, and data exchanges between agents. Each agent node can execute custom code, call external APIs, or leverage pre-built models for NLP, vision, or data processing tasks. With built-in connectors to popular databases, web services, and messaging platforms, AGIFlow streamlines integration and orchestration across systems. Version control and rollback features allow teams to iterate rapidly, while real-time logging, metrics dashboards, and alerting ensure transparency and reliability. Once workflows are tested, they can be deployed on scalable cloud infrastructure with scheduling options, enabling businesses to automate complex processes such as report generation, customer support routing, or research pipelines.