DeltaLoop is the open-source continuous fine-tuning layer that automatically converts your AI agent logs into training data and creates specialized LoRA adapters.
Four steps. Fully automated. Continuously improving.
One-line callback automatically logs every agent execution
Transform raw logs into high-quality training datasets
Fine-tune with LoRA adapters (only 17MB!)
Load adapter into production. Model now knows your domain.
Real performance improvements. Measured results.
Save 80% on inference costs. Plus eliminate manual prompt engineering labor.
DeltaLoop is open source, production-ready, and works with any agent framework.
pip install deltaloop