Agently provides a runtime framework for constructing AI service backends using structured data and chained-call syntax. It implements TriggerFlow, an event-driven architecture for managing complex agent logic and recoverable workflows. The framework integrates with multiple LLM providers (Claude, Gemini, GPT, and Chinese models like ChatGLM, DeepSeek, Ernie) without requiring code rewrites, supports MCP server connections, and offers observable actions and runtime skills for production deployments.