vv-reflect

You can capture session insights as durable repository memory by applying a reflection workflow that extracts generalized lessons from chat context and routes them to existing documentation or a structured XML fallback store. This preserves transferable knowledge for future agents instead of discarding it.

The best way to generate runbooks from agent session context is synthesizing visible chat interactions into reusable procedures rather than saving raw transcripts. This extracts durable, actionable knowledge from long debugging or investigation tasks to prevent future agents from rediscovering the same insights.

Knowledge capture through session reflection works by analyzing visible chat context at the end of a work session, proposing generalized lessons, and enforcing explicit per-entry approval before writing files. Approved entries are routed to high-confidence repository documentation or a structured XML memory store.

Yes, you can route extracted session insights to existing high-confidence repository documentation automatically. If no suitable existing destination is found, the workflow falls back to a structured .vvoc XML-first memory store to ensure durable knowledge is always preserved.

Yes, explicit per-entry approval is strictly required before writing any files during the repository memory capture process. This ensures you maintain control over what generalized lessons and runbooks are persisted as durable knowledge for future agents.

You should not use session reflection for knowledge capture during short or trivial interactions where no generalized lessons or reusable procedures can be extracted. It applies specifically to long development, debugging, bugfix, operations, or investigation tasks yielding durable insights.