📖About & Usage

About

Semantic Memory is Carol's "brain filing cabinet." It takes the contents of memory files — the notes, logs, and records Carol's team of agents creates — and converts them into a special kind of index called a vector search (think of it as a smart, meaning-based filing system that understands concepts, not just keywords). When Carol needs to remember something quickly — like "what did we decide about the cloud migration budget last week?" — Semantic Memory lets her find the right file by meaning, not just by file name. Built by Merlin (Merlin, Head of Execution), it acts as a behind-the-scenes librarian for Carol's entire ecosystem. Because it relies on a technology called ChromaDB (a purpose-built database for these smart indexes), it's a specialized service that other apps and agents call upon when they need to search across their stored knowledge.

Usage Patterns

Semantic Memory fires whenever an agent in Carol's system needs to retrieve a past memory based on what it means, not just what it's called. For example: suppose Sage (Sage, Analyst) is writing a new report on quarterly costs. Sage can ask a question like "find all notes from January about over-budget alerts." Semantic Memory will search through thousands of memory file entries — even if none of them literally contain the words "January" or "over-budget" — and return the conceptually closest matches. It's also called upon by apps like Carol Context when Carol needs to quickly recall similar past decisions during a conversation. In short: any time Carol's team needs to remember intelligently, Semantic Memory quietly does the heavy lifting.

🗂️Tabs & Screens

Tab inventory is being built — see CAROL-INI-077 step 7.

👤Owner

📚Recent initiatives

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