MineContext is a context management system designed to collect, store, and retrieve multimodal data to build targeted context windows for large language models. It functions as an orchestration tool and retrieval augmented generation framework that utilizes a local vector data store to index documents and enable similarity searches.
The system differentiates itself through a multimodal context collector that gathers information from screen captures, files, and version control systems. It provides mechanisms for proactive information retrieval, extracting summaries and activity records from captured data to automatically push insights to the user.
The project covers a broad capability surface including RAG pipeline management, repository knowledge extraction, and multi-source data processing. It incorporates local-first data management and a standardized API layer for integrating custom or local model services.
The application can be bundled into a standalone executable for distribution on Windows.
