copilot-memory-harness

To make VS Code Copilot Chat remember coding preferences across sessions, you can deploy a persistent memory harness that stores user conventions and corrections locally. This allows the assistant to retain your specific coding style without relying on external daemons or CLI tools.

Yes, Copilot Chat can accumulate reusable coding skills over time by using a self-improving memory harness. It captures corrections and conventions during your coding sessions, building a repository of personalized skills that enhance future interactions.

To set up persistent memory for Copilot Chat, you need a specific VS Code workspace configuration and Python 3 stdlib. You deploy the harness files, configure the workspace, and run the build.py script to initialize the instructions and wire up the repository.

No, persistent memory for Copilot Chat does not require external daemons or CLI tools. The self-improving memory harness operates entirely within the VS Code workspace using the Python 3 stdlib, avoiding the need for background services.

A self-improving memory harness enhances Copilot Chat by storing user corrections and coding conventions across sessions. It accumulates these interactions as reusable skills, allowing the assistant to automatically align with your preferences and improve its responses over time.