LangSaaS is a cutting-edge no-code template for developing AI-powered chat applications. Leveraging Retrieval-Augmented Generation (RAG) technology, it enables users to craft personalized chatbots that can engage users in meaningful dialogues. This tool integrates seamlessly with various data sources, allowing rapid deployment of document chat solutions. Whether you're an entrepreneur, educator, or a business professional, LangSaaS simplifies the process of creating intelligent chat solutions tailored to your needs, making it accessible to anyone, regardless of technical background.

autogen-agent-server acts as a centralized orchestration platform for AI agents, enabling developers to expose agent capabilities through standard RESTful endpoints. Core functionalities include registering new agents with custom prompts and logic, managing multiple sessions with context tracking, retrieving conversation history, and coordinating multi-agent dialogues. It features asynchronous message processing, webhook callbacks, and built-in persistence for agent states and logs. The server integrates seamlessly with the AutoGen library to leverage LLMs, allows custom middleware for authentication, supports scaling via Docker and Kubernetes, and offers monitoring hooks for metrics. This framework accelerates building chatbots, digital assistants, and automated workflows by abstracting server infrastructure and communication patterns.