Automation Chatbot is designed to streamline repetitive workflows by allowing users to interact with connected services through conversational AI. Powered by OpenAI models and a Chroma vector store, the agent maintains context across sessions, recalls past interactions, and executes actions in platforms like Slack, Google Drive, and Calendar. With a modular connector architecture, developers can add new integrations for email, file management, or custom APIs. A built-in scheduling module enables automated triggers based on time or events. Using TypeScript definitions, the system validates input/output and generates code snippets automatically. The framework can run on local machines or containerized environments, providing extensibility and security controls like OAuth2 and API key management. This empowers organizations to deploy chat-driven automation tailored to their operational needs.

OpenAgents Builder offers a visual, no-code environment where users can assemble AI agent workflows by dragging and dropping components representing LLM calls, logic branches, and API actions. The platform supports integrations with major large language models such as OpenAI GPT and Anthropic’s Claude, and allows custom API connectors for business systems like CRMs or databases. Agents can maintain conversational context across sessions with memory modules. Built-in templates for customer support, lead qualification, and knowledge base retrieval speed up creation. Once configured, agents are tested directly in the interface, then deployed via embed code, widget, or integrations with Slack and Microsoft Teams. Real-time analytics dashboards track interactions, usage patterns, and performance metrics to continuously refine agent behavior and accuracy.