LoopGPT

LoopGPT is a modular framework for building autonomous GPT-powered agents that can plan, act, and iterate on tasks with minimal manual intervention. Designed as a Python library, it lets developers compose agents from interchangeable components such as memory, tools, planners, and controllers, rather than relying on a monolithic Auto-GPT implementation. Agents created with LoopGPT can call external tools and APIs, perform web search and retrieval, read and write files, and maintain context across multiple steps using configurable memory backends.

The framework emphasizes explicit control over agent behavior. Developers can define custom toolsets, constrain actions, and implement domain-specific logic while still leveraging large language models for reasoning and decision-making. LoopGPT supports multi-step task decomposition, feedback loops, and iterative refinement, making it suitable for use cases like automated research workflows, report generation pipelines, data processing assistants, software project scaffolding, and integration bots that coordinate between multiple services.