LoopGPT
LoopGPT is a modular auto-GPT framework with features such as a 'Plug N Play' API, GPT 3.5 compatibility, minimal prompt overhead, human-in-the-loop capability, and full state serialization, facilitating easy installation and usage through Python code, CLI, or Docker, with the ability to add custom tools and course correction, along with saving and loading agent state, requiring Python 3.8+ and an OpenAI API Key, and optional setup for Google search support
Where it fits
LoopGPT is listed in Development Frameworks. Use its original project documentation to confirm the features and setup for your intended workflow.
Choose the foundations for an agent application: model integrations, orchestration and the developer tools around them. Your team's language, workflow complexity and operating environment are useful starting points.
Before you choose
Use these category-level questions when reviewing this resource. They do not assert that this project supports a particular feature.
- Does the framework fit your language and deployment runtime?
- How will a failed run resume without repeating side effects?
- Can you test the workflow with your own examples?
Sources & project links
About this listing
Imported directory snapshot · 2026-10-26. The description and classification come from the earlier directory, adapted from awesome-ai-agents; current project behavior has not been independently tested.
Pricing, licensing, supported models and hosting requirements may change. Check the original project before installing or paying. Inclusion is not an endorsement or a performance rating.
Historical repository popularity
The old directory displayed 1.5k GitHub stars. Its original observation date is unknown. This is retained as historical context, not a live count or quality score.