MiniAgent is a minimalistic open-source framework built in Python for constructing autonomous AI agents capable of planning and executing complex workflows. At its core, MiniAgent includes a task planning module that decomposes high-level goals into ordered steps, an execution controller that runs each step sequentially, and built-in adapters for integrating external tools and APIs, including web services, databases, and custom scripts. It also features a lightweight memory management system to persist conversational or task context. Developers can easily register custom action plugins, define policy rules for decision-making, and extend tool functionality. With support for OpenAI models and local LLMs, MiniAgent enables rapid prototyping of chatbots, digital workers, and automated pipelines, all under an MIT license.

AgentSea AI Hub is a robust AI platform and framework that streamlines end-to-end agent development and management. It features a drag-and-drop visual builder for crafting agent personas, conversation flows, and custom skills without deep coding expertise. Developers can integrate external APIs, knowledge bases, and databases, while the built-in memory management module preserves context across sessions. The platform supports multi-channel deployment including web, mobile, chat, voice, and email, ensuring seamless user interactions. Detailed performance monitoring, A/B testing, and version control enable continuous improvement. With role-based access control and collaborative workspaces, teams can efficiently coordinate on complex agent projects. AgentSea AI Hub accelerates digital worker creation, automates repetitive tasks, and enhances customer engagement through intelligent automation.