GPT-agents is a developer-focused toolkit that streamlines the creation and orchestration of autonomous AI agents using GPT. It offers built-in Agent classes, a modular tool integration system, and persistent memory management to support ongoing context. The framework handles conversational planning loops and multi-agent collaboration, allowing you to assign objectives, schedule sub-tasks, and chain agents on complex workflows. It supports customizable tools, model selection, and error handling to deliver robust, scalable automation for various domains.

TinyAgent provides a lightweight agent framework for orchestrating complex tasks with OpenAI GPT models. Developers install via pip, configure an API key, define tools or plugins, and leverage in-memory context to maintain multi-step conversations. TinyAgent supports chaining tasks, integrating external APIs, and persisting user or system memories. Its simple Pythonic API lets you prototype autonomous data analysis workflows, customer service chatbots, code generation assistants, or any use case requiring an intelligent, stateful agent. The library remains fully open-source, extensible, and platform-agnostic.