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.

ShampooSalesAgent is a specialized conversational AI agent designed to guide users through personalized shampoo selection and boost sales performance. Leveraging LangChain to orchestrate GPT-powered dialogues, the agent asks targeted questions—such as hair texture, scalp sensitivity, fragrance preference, and styling goals—to gather user profile data. It then consults a configurable product catalog to generate tailored shampoo recommendations, complemented with upsells for conditioners or specialized treatments. The system logs interactions for analytics, supports follow-up clarifications, and can be hosted as a web widget or integrated via API on e-commerce sites. By automating the advisory process, brands can deliver 24/7 personalized customer service, increase conversion rates, reduce support costs, and drive revenue growth.

SidePal is an AI-powered assistant integrated into your browser's side panel for real-time support. Its intelligent conversational abilities help you acquire information, get answers, and stimulate creativity. With rapid response features, SidePal ensures your workflow remains uninterrupted. The assistant is designed with privacy and data security at its core, providing a trustworthy AI interaction environment. It is convenient to use, always available in the browser sidebar to assist you whenever needed. Install SidePal to begin a productivity-enhanced journey.

SMOC.AI is an innovative platform that provides AI-driven sales agents to enhance customer engagement. It employs predefined, automatic, and personalized chat flows to boost customer interactions, collect valuable data, and transform the customer journey. By integrating digital conversations, data collection, and rewards, SMOC.AI optimizes business potential, helping brands to better understand and market their products or services effectively.

Spirit Chat is a cutting-edge chat application that leverages artificial intelligence to assist users in their spiritual journey and offer emotional support. The app provides meaningful and thoughtful conversations aimed at enhancing personal growth, spirituality, and well-being. Users can engage with AI in a safe and supportive environment, discussing various topics that are important to their spiritual and emotional health.

Typly is a smart, AI-powered keyboard application designed to revolutionize messaging by providing complete sentence suggestions and quick replies. Utilizing advanced Natural Language Processing and Machine Learning technologies, Typly helps users communicate more efficiently without manually typing lengthy messages. It supports seamless integration with mobile platforms such as iOS and Android and is working on a Chrome extension. With Typly, users can maintain conversations with ease and speed, ensuring they stay responsive on the go.

VillagerAgent provides a comprehensive toolkit for constructing AI agents that leverage large language models. At its core, developers define modular tool interfaces such as web search, data retrieval, or custom APIs. The framework manages agent memory by storing conversation context, facts, and session state for seamless multi-turn interactions. A flexible prompt templating system ensures consistent messaging and behavior control. Advanced features include orchestrating multiple agents to collaborate on tasks and scheduling background operations. Built in Python, VillagerAgent supports easy installation through pip and integrates with popular LLM providers. Whether building customer support bots, research assistants, or workflow automation tools, VillagerAgent streamlines the design, testing, and deployment of intelligent agents.

Vogent AI Agent specializes in creating tailored conversational experiences using advanced natural language processing techniques. It responds to customer inquiries, provides recommendations, and automates routine tasks, enhancing efficiency in communication. Its adaptive design allows it to learn from user interactions, ensuring continuous improvement and relevance in responses, making it suitable for diverse industries.

WebChatGPT is a Chrome extension that enhances the functionality of ChatGPT by incorporating relevant, real-time web search results into the responses. This makes the AI's output more current and accurate. The extension also comes with a library of one-click prompts, improving the overall interaction quality, facilitating creative writing, solving business problems, and more. Ideal for customers who want to leverage AI for precise and dynamic insights, WebChatGPT is supported on Chrome, Firefox, and Edge.

Zomory is a powerful tool that transforms your Notion workspace into an instantly searchable knowledge base. Utilizing natural language understanding, Zomory helps you find exactly what you need quickly and effortlessly. The integration with Slack allows users to search their Notion workspace directly without any context switching. The platform features conversational interfaces that enable follow-up questions, and it boasts lightning-fast search results. With enterprise security measures including end-to-end encryption and granular access controls, Zomory ensures that your data remains protected while being easily accessible.

A-Mem is designed to seamlessly integrate with Python-based AI agent frameworks, offering three distinct memory modules: episodic memory for per-episode context, short-term memory for immediate past actions, and long-term memory for accumulating knowledge over time. Developers can customize memory capacity, retention policies, and serialization backends such as in-memory or Redis storage. The library includes efficient indexing algorithms to retrieve relevant memories based on similarity and context windows. By inserting A-Mem’s memory handlers into the agent’s perception-action loop, users can store observations, actions, and outcomes, then query past experiences to inform current decisions. This modular design supports rapid experimentation in reinforcement learning, conversational AI, robotics navigation, and other agent-driven tasks requiring context awareness and temporal reasoning.

Meshy is an AI agent that utilizes Natural Language Processing to facilitate personalized interactions. It engages users through dynamic conversation, understanding context and user preferences to provide tailored experiences. Meshy can assist in various tasks, making workflows smoother and improving communication across platforms. With its innovative algorithms, it aims to streamline interactions and help users navigate information effortlessly.

ACME.BOT specializes in streamlining communication and support. It leverages advanced AI algorithms to understand user queries and provide accurate responses in real-time. Users can inquire about various topics, receive recommendations, and access specific information without navigating through multiple resources. This AI agent is versatile, catering to various sectors including customer service, technical support, and informational inquiries, thus optimizing user engagement and satisfaction.

AI-Agents provides a modular toolkit to create autonomous AI agents capable of task planning, execution, and self-monitoring. It offers built-in support for tool integration—such as web search, data processing, and custom APIs—and features a memory component to retain and recall context across interactions. With a flexible plugin system, agents can dynamically load new capabilities, while asynchronous execution ensures efficient multi-step workflows. The framework leverages LangChain for advanced chain-of-thought reasoning and simplifies deployment in Python environments on macOS, Windows, or Linux.

AgentAt is a comprehensive AI agent platform and framework designed for enterprises seeking to streamline operations through autonomous digital workers. It empowers non-technical users to design, configure, and deploy agents that can engage via chat or voice across multiple channels—web, Slack, Microsoft Teams, email, and more. Agents can be connected to internal databases, CRMs, and SaaS tools, enabling real-time data retrieval, form generation, and multi-step workflow execution. Built-in memory and context retention allow ongoing conversations to remain coherent over time, while analytics dashboards monitor performance. Teams can train and refine agents iteratively, ensuring continuous improvement in customer support, HR help desks, sales assistance, and beyond—driving efficiency and scalability.

AgentChat is an open-source AI Agent management platform that leverages OpenAI's GPT models to run versatile conversational agents. It provides a React front-end for interactive chat sessions, a Node.js back-end for API routing, and a plugin system for extending agent capabilities. Agents can be configured with role-based prompts, persistent memory storage, and pre-defined workflows to automate tasks such as summarization, scheduling, data extraction, and notifications. Users can create multiple agent instances, assign custom names, and switch between them in real-time. The system supports secure API key management, and developers can build or integrate new data connectors, knowledge bases, and third-party services to enrich agent interactions.

HackerGCLASS Agent API is an open-source Python framework that exposes RESTful endpoints to run AI agents. Developers can define custom tool integrations, configure prompt templates, and maintain agent state and memory across sessions. The framework supports orchestrating multiple agents in parallel, handling complex conversational flows, and integrating external services. It simplifies deployment via Uvicorn or other ASGI servers and offers extensibility with plugin modules, enabling rapid creation of domain-specific AI agents for diverse use cases.

Agent ChatRoom provides a flexible environment to build and run multi-agent conversational systems. Users can create agents with unique personas and prompts, route messages between agents, and view conversation histories in a sleek UI. It integrates with OpenAI APIs, supports custom configuration of agent behaviors, and can be deployed on any static hosting service. Developers benefit from a modular architecture, easy prompt tuning, and a responsive interface for testing AI collaboration scenarios.

Agent-OpenAI-Java-Banking-Assistant is an open-source Java application that uses Azure OpenAI for large language model processing and vector embeddings for semantic search. It loads banking PDFs, generates embeddings, and performs conversational QA to summarize financial statements, explain loan agreements, and retrieve transaction details. The sample illustrates prompt engineering, function calling, and integration with Azure services to build a domain-specific banking assistant.

AgentForge provides a structured environment for defining, combining, and orchestrating individual AI skills into cohesive autonomous agents. It supports conversation memory for context retention, plugin integration for external services, multi-agent communication, task scheduling, and error handling. Developers can configure custom skill handlers, leverage built-in modules for natural language understanding, and integrate with popular LLMs like OpenAI’s GPT series. AgentForge’s modular design accelerates development cycles, facilitates testing, and simplifies deployment of chatbots, virtual assistants, data analysis agents, and domain-specific automation bots.