Serverless AI Agent simplifies the creation and deployment of autonomous AI agents by leveraging serverless cloud functions. By defining agent behaviors in simple configuration files, developers can enable AI-driven workflows that process natural language input, interact with APIs, execute database queries, and emit events. The framework abstracts infrastructure concerns, automatically scaling agent functions in response to demand. With built-in state persistence, logging, and error handling, Serverless AI Agent supports reliable long-running tasks, scheduled jobs, and event-driven automations. Developers can integrate custom middleware, choose from multiple cloud providers, and extend the agent’s capabilities with plugins for monitoring, authentication, and data storage. This results in rapid prototyping and deployment of robust AI-powered solutions.

Tongui Agent provides a modular architecture for creating AI agents that can maintain conversation state, leverage external tools, and coordinate multiple sub-agents. Developers configure LLM backends, define custom actions, and attach memory modules to store context. The framework includes an SDK, CLI, and middleware hooks for observability, making it easy to integrate into web or Node.js applications. Supported LLMs include OpenAI, Azure OpenAI, and open-source models.