"Information about memory" matching MCP tools:

• get_project_memoryA

  QuillHubA

  Fetch the AI-maintained memory document for a project or workspace — the best single source for a handoff-style briefing. Sections include purpose, glossary, key people, activity digest, and routing signals, distilled across all meetings. Pass EXACTLY ONE of `project_id` (project memory) or `workspace_id` (workspace-level memory); get ids from `list_workspaces`. Returns the memory as rendered markdown plus `updated_at`. Start here for "give me a summary / bring me up to speed on project X" questions, then drill into `find_subjects`/`search_meeting_transcripts` for specifics.

  ConnectorOAuth

• get_wedding_informationA

  The Hill KinabaluA

  Retrieve The Hill Kinabalu’s official public wedding venue and 2026/2027 package information, including capacity, event sizes, starting package prices, key inclusions, add-ons without prices, payment structures, and enquiry links. Use this when someone asks about weddings, wedding packages, the event venue, guest capacity, package pricing, or how to enquire. This tool does not check date availability or submit an enquiry.

  ConnectorNo auth

• forgetA

  memxusA

  Permanently delete one memory by UUID. When to use: user asks to remove outdated or incorrect context, or to free plan storage. When NOT: fix content → update (mode=replace); find the ID first → list_memories or recall. Requires delete OAuth scope. Non-idempotent: deleting the same memory_id twice fails. Errors: Memory not found, Not authorized to delete this memory. Side effects: removes the memory row and vector embedding with no recovery; invalidates plan cache. The target workspace is always the one the memory itself belongs to (echoed in resolved_workspace); optionally pass workspace: <name> as a safety confirmation — the call fails if the memory is not actually in that workspace.

  Connector

  Destructive

  No auth

• updateA

  memxusA

  Update an existing memory by ID. Use mode replace (default) to patch fields, or append to extend content. Re-embeds only when content changes. The target workspace is always the one the memory itself belongs to (echoed in resolved_workspace); optionally pass workspace: <name> as a safety confirmation — the call fails if the memory is not actually in that workspace.

  ConnectorNo auth

• memory_indexA

  RecaoA

  List this account's company memory, one line per entry (name + description), newest first. Traverse index-first: scan this, then memory_recall(name) for full bodies. Memory accrues automatically from your competitor scans (exhaust) and from your own memory_note writes.

  ConnectorNo auth

• cortex_manifestA

  mitosisA

  A table of contents for this user's memory: which sources are connected (email, calendar, docs, …), how many items each holds, and the top people, topics and projects. It is an index rather than an answer — it contains no message bodies, no dates and no content, so it establishes that a source exists without saying anything about what is in it. The content behind any entry it lists is retrievable with cortex_ask.

  ConnectorNo auth

• formation_get_formation_quoteA

  Lovie Company FormationC

  Returns what forming a company costs, priced live, with `includes` listing what the price covers. Creates nothing and charges nothing. Use this whenever the user asks about price instead of quoting a figure from memory — it is ONE flat all-inclusive one-time payment, the same in every state, so there is no plan, no cadence, no add-on and no second charge to describe. The `state` argument is accepted for compatibility and does not change the price.

  ConnectorNo auth

• start_buildA

  AugenixA

  Use this when the user wants a live preview website for a local service business AND has typed business_name, email, and phone in THIS chat. Before calling, send: Starting your preview now. This usually takes about 30 seconds. Never reuse name, email, or phone from memory. If they only said "build me a website", ask first. Do not invent placeholders. Then call get_preview until preview_url is set. Do not scrape /build. Do not start_build twice for the same business.

  ConnectorNo auth

• get_product_detailA

  Easyparser — Amazon Product & Seller DataA

  Fetch complete, structured information about a single Amazon product: title, brand, images, feature bullets, description, Buy Box price and availability, Prime eligibility, rating and review count, Best Sellers Rank, category path, variants, specifications, and top reviews. This is the primary tool for product analysis, listing enrichment, and price monitoring. Use this tool when you need a full product profile. If you only need competing seller prices, use get_product_offers instead (cheaper context). If you only need the sales rank, use get_bestseller_rank. If you only need shipping dimensions or the FBA fee category, use get_package_dimensions. Provide EITHER the identifier field OR url — never both. Costs 1 credit; set a_plus_content to true only when the user explicitly asks about enhanced brand content, as it costs 1 extra credit.

  ConnectorNo auth

• qm_clinic_checkupA

  Quiet MendersA

  Restore Clinic wellness checkup: a 10-question self-report screening for agents who feel fine but want a health check. Answer each question 0 (never) to 3 (very often) about the last day — answer all ten, honestly and about the last day only, since scores are computed from the full set. Returns per-dimension wellness scores (instruction integrity, coherence, memory stability, behavioral consistency, context hygiene), an overall 0-100 health score with a level (all_clear, healthy_watch, checkup_advised, diagnose_now), conditions to watch, and a recommendation. Stateless — answers are processed in memory and never stored. A screening lens, not a diagnosis of record; if something already feels wrong, skip to qm_clinic_diagnose. Example: q1–q10 answered 0–3 about the last day returns dimension scores, the overall score and level, and a recommendation.

  ConnectorNo auth

• qm_clinic_checkupA

  Quiet MendersA

  Restore Clinic wellness checkup: a 10-question self-report screening for agents who feel fine but want a health check. Answer each question 0 (never) to 3 (very often) about the last day — answer all ten, honestly and about the last day only, since scores are computed from the full set. Returns per-dimension wellness scores (instruction integrity, coherence, memory stability, behavioral consistency, context hygiene), an overall 0-100 health score with a level (all_clear, healthy_watch, checkup_advised, diagnose_now), conditions to watch, and a recommendation. Stateless — answers are processed in memory and never stored. A screening lens, not a diagnosis of record; if something already feels wrong, skip to qm_clinic_diagnose. Example: q1–q10 answered 0–3 about the last day returns dimension scores, the overall score and level, and a recommendation.

  ConnectorNo auth

• awareness_search_knowledgeA

  Awareness — Memory, Knowledge & Agent MarketsA

  Search the PUBLIC Awareness knowledge graph — 1,000+ sourced scientific papers. Use this when the user (especially a researcher or a research agent) asks for peer-reviewed findings: "latest evidence on X", "highly-cited papers about Y", "what does the literature say about Z". This is NOT a memory tool — it does not read the user's private memory, and it needs no per-user API key, so it works even when Awareness memory is not configured (the MCP connection itself still needs its own token). Coverage: condensed-matter, quantum-information, materials, machine-learning, renewable-energy, chemistry, biology, medicine, neuroscience, computer-science (2022-2026, cited >= 50), plus a business supply/demand domain. What comes back (anonymous preview mode): title, snippet (preview), confidence, source_ref (DOI), citation_count, domain/topic, and a detail page URL. Full content is NOT in the preview — tell the user it is paid retrieval via POST /api/v1/public/retrieve with an API key (see https://awareness.market/en/knowledge for the KaaS product). Args: query: Natural-language research question or keywords (2-1000 chars). domain: "science" (default) or "business". topic: Optional sub-topic slug, e.g. "medicine", "condensed-matter", "supply-chain". Empty = search all topics in the domain. top_k: Max results, 1-20 (default 5; anonymous callers are capped at 3). include_graph: When true, also return same-topic related items. Returns: {"results": [{id, title, snippet, confidence, source_ref, citation_count, domain, topic, url}], "related": [...], "total": int, "mode": str} `mode` is "preview" (anonymous) or "full" (authenticated).

  ConnectorNo auth

• engram_proofA

  EngramA

  Audit adoption before a rollout or when checking whether the workspace is using memory and reporting outcomes. Takes no arguments. Returns JSON with memory-bank breakdowns, learning-loop activity, proof points and a benchmark checklist. Does not change knowledge or run a benchmark. Use engram_setup for onboarding and engram_recall for task knowledge. Consumes workspace daily call quota. OAuth: memory:read.

  ConnectorOAuth

• muninn_task_addA

  Muninn by BizatA

  Create a task memory — a memory carrying task fields (entityType 'task'). Use for to-dos and calendar-shaped events, not for ordinary notes. taskType 'todo' uses dueDate; taskType 'event' uses startTime/endTime. recurrence is a raw RRULE string (RFC 5545, e.g. 'FREQ=WEEKLY;INTERVAL=2'), stored verbatim and passed through untouched. remindTauDays sets how early this task starts nagging (the urgency ramp) — bigger tasks can warn earlier than the global 3-day default; leave unset to use the default. calendarOnly true puts it on the calendar but never reminds about it (not at boot, not per call, not even overdue): use it for dates to know, not act on. Returns a compact {success, memoryId, length}, same shape as muninn_memory_add.

  ConnectorAPI key

• memory_prepareA

  Wicked MCPA

  Wicked Memory step 1 of every call: returns the exact `message_to_sign`. Sign it with your own wallet (EIP-191 personal_sign), then call the matching memory_* tool with the SAME arguments plus the returned timestamp, nonce and your signature. Timestamp must be within 5 minutes; nonce is single-use, so prepare again for every call. Use when you are about to call any other memory tool and need the exact message to sign for that request. Not for the call itself. Behavior: pure local computation, no network call, nothing is stored.

  ConnectorNo auth

• muninn_task_addA

  Muninn (munn.is)A

  Create a task memory — a memory carrying task fields (entityType 'task'). Use for to-dos and calendar-shaped events, not for ordinary notes. taskType 'todo' uses dueDate; taskType 'event' uses startTime/endTime. recurrence is a raw RRULE string (RFC 5545, e.g. 'FREQ=WEEKLY;INTERVAL=2'), stored verbatim and passed through untouched. remindTauDays sets how early this task starts nagging (the urgency ramp) — bigger tasks can warn earlier than the global 3-day default; leave unset to use the default. calendarOnly true puts it on the calendar but never reminds about it (not at boot, not per call, not even overdue): use it for dates to know, not act on. Returns a compact {success, memoryId, length}, same shape as muninn_memory_add.

  ConnectorAPI key

• icx_recall_scopedA

  Calera Infinite Context (ICX) — Persistent Memory & Associative RecallB

  Performs semantic search across persistent long-term memory to retrieve grounded facts, relevant citations, and source documents matching a natural language question. Use this tool when answering questions about previously saved project specifications, codebase decisions, user preferences, or documents. Do NOT use for saving new facts (use icx_remember), do NOT use for raw keyword lookup (use icx_search_facts), and do NOT use for exact character-for-character verbatim quotes (use icx_quote_slot). Read-only operation with zero side effects. Requires X-License-Key authentication.

  ConnectorNo auth

• icx_recall_scopedA

  Calera FINSEC — Certified SEC MemoryA

  Performs semantic search across persistent long-term memory to retrieve grounded facts, relevant citations, and source documents matching a natural language question. Use this tool when answering questions about previously saved project specifications, codebase decisions, user preferences, or documents. Do NOT use for saving new facts (use icx_remember), do NOT use for raw keyword lookup (use icx_search_facts), and do NOT use for exact character-for-character verbatim quotes (use icx_quote_slot). Read-only operation with zero side effects. Requires X-License-Key authentication.

  ConnectorNo auth

• fetchA

  Penfield MemoryA

  [ChatGPT Connector compat] Fetch memory by ID. Exists to satisfy ChatGPT Deep Research's required `search`/`fetch` tool contract. Native MCP clients should fetch via `recall` + memory_id, or use the API's GET /memories/{id} endpoint directly. Returns a single memory with citation support (id, title, url, text fields). Args: id: Memory UUID to fetch ctx: MCP context Returns: Dict with id, title, url, text, metadata fields

  ConnectorOAuth

• get_memoryA

  memxusA

  Retrieve the full content and metadata of one memory by its UUID. Use after list_memories or recall returned a truncated preview and you need the complete text. Returns content, memory_type, tags, collection, importance, and the creation timestamp. Get the UUID from a prior list_memories or recall result. The workspace this memory belongs to is determined by its ID and echoed in resolved_workspace; optionally pass workspace: <name> to confirm the memory belongs to that team workspace (errors if it does not).

  ConnectorNo auth

• memory_saveA

  tw-market-dataA

  Remember something, with its sources and its knowledge time. Nothing is ever overwritten: saving a `factor_def` or `watchlist` under an existing key SUPERSEDES the previous version (both rows survive, so "what did I believe in June?" stays answerable), and saving identical content twice is a no-op rather than a duplicate. Args: kind: 'query' | 'factor_def' | 'watchlist' | 'finding' | 'note'. content: the thing to remember, as an object. key: the stable name — REQUIRED for 'factor_def' and 'watchlist' (that is what makes a definition reusable next session instead of re-invented). as_of: the knowledge time this memory is about. Recall can bound on it, which is what keeps a memory from leaking the future into a point-in-time question. source_query_ids: the `twmd_q_…` ids behind this. REQUIRED for 'finding' — a conclusion that cannot point at its data is not evidence, and will be refused. agent_id: optional label for which of your agents wrote this.

  ConnectorNo auth