autoMate leverages OpenAI's GPT models and a modular tooling system to perform end-to-end automation workflows. Users define objectives in natural language, and autoMate breaks them into subtasks such as reading or writing files, scraping web pages, summarizing data, and composing emails. It dynamically invokes the appropriate functions, handles API interactions, logs progress, and outputs results in the desired format. Its extensible architecture allows adding custom tools, enabling scalable automation across data processing, content generation, and system operations.

Simple-Agent is an open-source AI agent framework written in Python that leverages the OpenAI API to create modular conversational agents. It allows developers to define tool functions that the agent can invoke, maintain context memory across interactions, and customize agent behaviors via skill modules. The framework handles request routing, action planning, and tool execution so you can focus on domain-specific logic. With built-in logging and error handling, Simple-Agent accelerates the development of AI-powered chatbots, automated assistants, and decision-support tools. It offers easy integration with custom APIs and data sources, supports asynchronous tool calls, and provides a simple configuration interface. Use it to prototype AI agents for customer support, data analysis, automation, and more. The modular architecture makes it straightforward to add new capabilities without altering core logic. Backed by community contributions and documentation, Simple-Agent is ideal for both beginners and experienced developers aiming to deploy intelligent agents quickly.