Save a fact, decision, convention, or piece of context to persistent encrypted memory so it survives across Codex sessions. Call this whenever you learn something durable about the project: build commands, code style, architectural decisions, gotchas, or the user's preferences. Idempotent per (category, key).

Retrieve relevant memories from past Codex sessions. Call this at the start of a task, or whenever you need project context you might have learned before, e.g. 'how do we run tests here', 'what did we decide about auth'. Uses FTS5 keyword + hybrid ranking; returns the most relevant memories with a score.

Remove a stale or incorrect memory. Soft-deletes by (category, key) — the memory is hidden from recall but recoverable. Use the key shown in a prior perseus_recall / perseus_remember result.

Synthesize an insight from stored memories. Given a question, Perseus Vault recalls the most relevant memories and asks the configured LLM (your OpenAI/GPT-5.6 key by default) to produce a grounded answer citing them. If no LLM is configured, returns the assembled memory context so you can reason over it yourself.

Report the health of the memory store: how many memories are stored, whether encryption at rest is active, the database location, and whether reflect (LLM synthesis) is available. Zero-argument.