SlothBudget Pro: Open-Source Offline Agent Automates Receipt Tracking and Spending Classification

A developer has released SlothBudget Pro, an autonomous financial agent designed to process receipts and transaction logs without manual data entry. Users drop raw text files into a local folder or upload them through a cloud dashboard, and the agent extracts transaction details, classifies spending, and archives the records. Text extraction runs on Google's open-weight Gemma 3 1B model via Ollama, while TabPFN-3.5 handles categorization and anomaly detection. The project's developer says running the models locally keeps user data private, avoids operating costs, and removes the need for an internet connection. The interactive dashboard is hosted on Render, and Sentry is used to monitor agent latency and errors.