BotSharp-UI is a comprehensive browser-based interface designed to streamline the creation and management of conversational AI agents built on the BotSharp framework. It features a visual intent and entity editor, customizable dialog tree builder, and integrated training data manager. Users can import/export datasets, connect to multiple NLP backends (e.g., Rasa, LUIS, TensorFlow), and annotate utterances. The built-in testing console simulates user interactions in real time, while performance dashboards provide insights into intent accuracy and user engagement. Deployment wizards simplify publishing bots to web, mobile, and messaging channels. With role-based access controls, multi-language support, and plugin architecture, BotSharp-UI accelerates development workflows, reduces setup complexity, and enables collaboration between technical and business teams in chatbot projects.

mcp-agent-graph provides a graph-based orchestration layer for AI agents, enabling developers to map out complex multi-step workflows as directed graphs. Each node in the graph corresponds to an agent task or function, capturing inputs, outputs, and dependencies. Edges define the flow of data between agents, ensuring correct execution order. The engine supports sequential and parallel execution modes, automatic dependency resolution, and integrates with custom Python functions or external services. Built-in visualization allows users to inspect graph topology and debug workflows. This framework streamlines the development of modular, scalable multi-agent systems for data processing, natural language workflows, or combined AI model pipelines.