Persistent memory for Ollama, in about five minutes

This article walks readers through adding persistent memory to Ollama, a local, fast, and private language model service that's traditionally stateless. The guide provides a straightforward method to retain context across sessions, which is crucial for improving user experience and efficiency. This innovation addresses a significant limitation of stateless models, offering a practical solution that enhances the usability of local language models for various applications.