Lite Web Agent is a browser-native platform that allows users to create, configure, and deploy AI-driven conversational agents. It offers a visual flow builder, support for REST and WebSocket API integrations, state persistence, and plugin hooks for custom logic. Agents run fully on the client side for low latency and privacy, while optional server connectors enable data storage and advanced processing. It is ideal for embedding chatbots on websites, intranets, or applications without complex backend setups.

Nefi.ai is a cloud-based platform for designing, training, and orchestrating AI-powered agents without writing code. It offers a visual canvas to assemble blocks like LLM modules, vector database retrieval, external API calls, conditional logic, and memory stores. Agents can be trained on custom documents or linked to enterprise data. Once built, they deploy as chatbots, email assistants, or scheduled tasks. Advanced features include monitoring dashboards, version control, role-based access, and integrations with Slack, Teams, and Zapier.

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.

BrainX is a PHP-based AI agent platform designed to simplify the creation and orchestration of intelligent chatbots and assistants. It offers unified interfaces to integrate multiple language models (OpenAI, Azure, etc.), combined with flexible memory drivers to preserve conversation context across sessions. Prebuilt connectors enable deployment on Slack, Telegram, and other messaging channels. Developers can configure prompt templates, response handling pipelines, and caching strategies to optimize performance and user experience. With its modular architecture, BrainX makes it easy to extend functionality, manage sessions, and monitor interactions in production-grade AI applications.