memory-management

You decode internal company jargon by implementing a tiered memory system that maps shorthand, acronyms, and project codenames to their full meanings. This enables the AI to translate terms like "PSR" into "Pipeline Status Report," functioning like a true colleague.

A tiered memory system manages context by using a lean working memory file for frequent terms and a deep memory directory for comprehensive knowledge. This split supports dynamic learning and recall of contextual information during AI-driven collaboration.

Yes, you can store frequent team shorthand in a lean working memory file. This file acts as the primary reference for the AI to quickly recall high-traffic acronyms and nicknames without scanning deeper memory directories.

The best way to decode nicknames and project codenames is using a personalized decoding system that maps shorthand like "Todd" to Todd Martinez and "Phoenix" to the DB migration project. This enables precise, context-aware responses.

You should move decoded terms to a deep memory directory when they require comprehensive context beyond simple shorthand mapping. The deep memory directory handles complex contextual information, keeping the working memory lean for frequent terms.