LobeChat provides a unified chat UI for popular large language models, allowing users to switch between ChatGPT, Claude, Gemini and more without leaving the platform. It features cloud-based message synchronization, custom assistant creation, and a plugin framework to extend functionality—covering text, image, video and voice AI tasks. With built-in workflow automation and multi-modal support, users can automate repetitive tasks, enhance creativity and manage diverse AI agents in one place.

Semantic Kernel Copilot Demo is an end-to-end reference application illustrating how to build advanced AI agents with Microsoft’s Semantic Kernel framework. The demo features prompt chaining for multi-step reasoning, memory management to recall context across sessions, and a plugin-based skill architecture enabling integration with external APIs or services. Developers can configure connectors for Azure OpenAI or OpenAI models, define custom prompt templates, and implement domain-specific skills such as calendar access, file operations, or data retrieval. The sample shows how to orchestrate these components to create a conversational Copilot capable of understanding user intents, executing tasks, and maintaining context over time, fostering rapid development of personalized AI assistants.

AI Agent Example is a hands-on demonstration repository for developers and researchers interested in building intelligent agents powered by large language models. The project includes sample code for agent planning, memory storage, and tool invocation, showcasing how to integrate external APIs or custom functions. It features a simple conversational interface that interprets user intents, formulates action plans, and executes tasks by calling predefined tools. Developers can follow clear patterns to extend the agent with new capabilities, such as scheduling events, web scraping, or automated data processing. By providing a modular architecture, this template accelerates experimentation with AI-driven workflows and personalized digital assistants while offering insights into agent orchestration and state management.

Cubeo AI is a no-code platform designed to create customized AI Assistants rapidly and efficiently. Users can train their ChatGPT assistants using different document types such as PDF, DocX, video, and audio. Ideal for businesses looking to enhance operations, Cubeo AI offers tools like AI Sentiment Analysis and Retrieval-Augmented Generation, helping you optimize your business processes, analyze feedback, and drive strategic improvements.

LangChain is a modular framework that helps developers create advanced AI applications by connecting large language models with external data sources and tools. It provides chain abstractions for sequential LLM calls, agent orchestration for decision-making workflows, memory modules for context retention, and integrations with document loaders, vector stores, and API-based tools. With support for multiple providers and SDKs in Python and JavaScript, LangChain accelerates the prototyping and deployment of chatbots, QA systems, and personalized assistants.