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.

LangChain Chatbot for Customer Support leverages the LangChain framework and large language models to provide an intelligent conversational agent tailored for support scenarios. It integrates a vector store for storing and retrieving company-specific documents, ensuring accurate context-driven responses. The chatbot maintains multi-turn memory to handle follow-up questions naturally, and supports customizable prompt templates to align with brand tone. With built-in routines for API integration, users can connect to external systems like CRMs or knowledge bases. This open-source solution simplifies deploying a self-hosted support bot, enabling teams to reduce response times, standardize answers, and scale support operations without extensive AI expertise.