corgispec-memory-extract

What problem does it solve?

Converting completed AI coding work into durable, organization-wide knowledge—so future changes can reuse proven approaches instead of repeating the same discoveries and decisions.

Core Features & Use Cases

• Pattern extraction to long-term wiki memory: Creates reusable pattern pages under wiki/patterns/ based on non-trivial, repeatable approaches found in the completed change.
• Session summaries for historical traceability: Writes wiki/sessions/<change-name>.md capturing timeline, key decisions, pitfalls, and outcomes (without overwriting existing summaries).
• Lifecycle bookkeeping across artifacts: Moves the change from wiki/hot.md Active to Recently Shipped, resets memory/session-bridge.md for the archived change, and updates wiki/index.md plus relevant _index.md files with new links.

Quick Start

Use corgispec-memory-extract to archive a finished change named "my-change" and automatically generate any patterns and a session summary in the wiki.