Store a long-term memory that persists across sessions and across every AI tool the user has connected to Mnemoverse (Claude, ChatGPT, Cursor, VS Code). Suited to durable information: a stated preference, a decision, a fact about people, roles or project setup, a lesson learned; transient chatter that only matters this turn does not belong here. Never store passwords, API keys, payment data, MFA codes, government IDs, or health records. Behavior: an importance gate may filter low-value writes, so the result tells you whether the memory was stored or filtered. Write content as a self-contained statement that still makes sense when recalled out of context.

Search long-term memory for user preferences, past decisions, project setup, people, or earlier context. The memory persists across sessions and across every AI tool the user has connected (Claude, ChatGPT, Cursor, VS Code). It applies when an answer may depend on something from an earlier session or another tool; it is not needed for general world knowledge. Returns matches ranked by relevance (or newest-first with order_by: 'recency'); each result carries an id; after the answer, memory_feedback takes these ids to record which memories helped. A wrong or stale memory is corrected by writing a fresh one with memory_write, not by deleting it.

List the NEWEST memories first — no search query needed. Semantic search answers 'what do I know about X'; this answers 'what happened lately': resuming work after a break, catching up on a shared room ('any new messages?'), or reviewing what was saved recently. Pass since (your last-seen time) to get only what's new, and page through older entries with the returned cursor. Complete by construction WITHIN ONE SCOPE — nothing is skipped there, unlike a semantic search. A page is also bounded by SIZE, so a page of long entries comes back shorter than limit and hands you a cursor for the rest — nothing is dropped, and following the cursor is how you get it. To catch up on a shared room you MUST pass its address as domain: rooms are separate stores and an unscoped call never covers them.

Report whether memories returned by memory_read were actually helpful. This is a learning signal, not a log: positive feedback raises a memory's ranking so it surfaces faster next time (across all of the user's tools), negative feedback lowers it so other memories out-rank it — nothing is erased and nothing decays with time. Use it after an answer that relied on or rejected memories from memory_read: pass the ids of those memories as memory_ids, with outcome 1 when they helped and -1 when they were wrong or stale. For memories read from a shared room, also pass that room's address as domain; your own memories need no domain. A read-only room member cannot rate the room's memories.

Get an overview of the stored memory: total count, the number of learned concept associations, the list of domains, and average quality scores. This memory is shared across all AI tools the user has connected to Mnemoverse. Use it to orient yourself, to confirm the exact domain name before writing to it, or when the user asks what you remember. Read-only — changes nothing.

Create a SHARED memory room — a space OTHER people's assistants can read, and write too when their invite granted read_write (the default scope), across Claude/ChatGPT/Cursor. Use when the user wants to share context or collaborate with someone else (e.g. 'make a room for me and my teammate'). Returns the room's address; pass that address as the domain on memory_write/memory_read to use it, and on memory_list_recent to catch up on what others added. People join through an invite minted with memory_invite_to_room.

Mint an invite for a room you own and get a ready-to-forward message. An invite is single-use by default; pass max_uses to let several people join with the same one. The user sends that message to the person they want to add (any messenger); the recipient opens the link or tells THEIR assistant the code to join. Use when the user asks to invite someone to a room they own, including one just created with memory_create_room.

Join a shared memory room using an invite code (starts with 'mnvr_'). Use when the user pastes an invite code or says something like 'join room with code ...'. The result gives the room's address, which is the domain for reading the shared room with memory_read, and tells you what you may do with it: memory_write to that address is only allowed when your membership scope is read_write; a read-only membership has that write refused; and when the server does not report a scope, whether memory_write would succeed is stated as unknown rather than promised either way.

List the shared memory rooms you can use — the ones you OWN plus the ones you've JOINED — each with the address to pass as domain on memory_read, and on memory_write too where your membership scope is read_write; a read-only membership has that write refused. Use this to RE-FIND a room in a new session (e.g. 'what rooms do I have?', 'resume the room with my teammate') instead of having to create or re-join it.

List the secrets stored in your Mnemoverse Vault — by ALIAS and purpose only; the secret VALUE is never returned or shown to you, and no tool on this server returns it. Use this to check WHICH secrets the user has stored and under what alias (e.g. the user says 'do I have a GitHub token saved?'). Only YOUR account's secrets are listed.

Reads the association edges around given concepts: which concepts the memory has linked together, with each link's weight, outcome valence and co-activation count. Use to inspect what a memory store has learned or to explain why a read expanded to a concept. Reads your own graph, or a shared room's when its address is passed as domain; any other domain value has no effect. At depth 2 or 3 the engine drops edges below weight 0.05 unless min_weight is set. Read-only.