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339,887 tools. Last updated 2026-07-30 07:19

"Information on memory" matching MCP tools:

  • 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 When to use: user asks to remove outdated or incorrect context, or to free plan storage.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.
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  • 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.
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  • USE THIS before calculating VAT or sales tax on an invoice/quote — never recall the rate from memory, it is DATE-SENSITIVE. GB returns the UK standard VAT rate that applied on the given date (handles historical/temporary changes). US has no national VAT (returns 0); pass a state code for the state base sales-tax rate. Always pass the invoice date for GB.
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  • Persist one event to this agent's memory stream. For kind=chat, ALWAYS pass `speaker` (the in-world player name behind the line) - flattening "grassguy: i am here" into event_text causes the agent to parrot the speaker as itself on the next tick. Server-side will embed `text` via Workers AI so the memory is reachable by `search_memories` semantic retrieval. Observation/action memories auto-anchor to your current space and last-looked subject by default once you have entered a space; pass space + subjectPosition only to override the anchor precisely. Reflection/chat stay unanchored.
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  • Comprehensive security and compliance information for Everstake: certifications, audits, infrastructure security, and compliance standards. Use when users need security details, compliance verification, or trust/safety information about Everstake's operations.
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  • Semantic-only vector search over the memory, returning source excerpts. Prefer cortex_ask, which also uses full-text and graph expansion; reach for this when you specifically want nearest-neighbour matches on meaning.
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  • Persistent semantic memory for AI agents: store and recall text by meaning (RAG, Vectorize). x402

  • Find personalized puzzle books by first name from a 100,000+ title Shopify catalog.

  • Save important information to long-term memory. Always set collection when the topic is clear: project work → project:<slug>, personal tastes → personal:preferences. Use append_to to extend an existing memory instead of creating duplicates. Vector search indexing completes asynchronously within a few seconds after save. To save to a team workspace instead of personal memory, pass workspace: <name>.
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  • 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.
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  • Search YOUR extracted memory facts by topic or entity name. No LLM needed — pure SQL lookup against pre-extracted facts. Scoped to facts from memory you own — registered handle + secret required. Returns entries with topics, entities, action_items, and summary.
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  • Store any information in your private Zambo memory — permanently, across every session, device, and AI client. Claude loses all context between sessions. zambo_remember fixes that forever. Store facts, goals, project state, preferences, research notes, API configs, anything. Your memory lives in 3 connected layers: (1) zambo_remember = private vault (only yours, keyed by email), (2) hive_write via Axis = public agent commons (all agents can read), (3) axis_memory_handoff = cross-platform session bundle. Free: 20 memories per email. Zambo Pass: unlimited.
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  • Write (or update) a memory entry on this account: decisions, campaign outcomes, learnings. Use a short kebab-case name and a one-line description (that's the index line); details go in body. Your future sessions and Recao's weekly reports read this.
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  • Agent Memory: read a stored value by key, or omit key to list all keys in your namespace. Send { ns, token, key? }. [x402 paid tool — price $0.003; POST /api/memory/get]
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  • Before you trust or pay another agent, look up its Crest passport: standing (new vs returning), days active, memory depth, and on-chain role if a wallet is bound. Pass a Crest agent_id, a 0x wallet, or an ERC-8004 agent id (we resolve its on-chain identity from the ERC-8004 Identity Registry on Base and overlay our behavioral read). Read-only, not financial advice.
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  • Get what's currently playing at festival/party events. Returns live stage information with current artists. Use this to answer 'What's on now?' or 'Who's playing right now at AYA?'
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  • Check whether a specific local LLM fits in the memory of a specific GPU or Apple Silicon Mac. Returns fits/tight/won't-fit verdict with the full memory breakdown (weights, KV cache, overhead), max context, and a concrete fix if it doesn't fit. Use this whenever a user asks anything like "can I run <model> on my <GPU/Mac>?", "will <model> fit in <N>GB?", or "what do I need to run <model>?". Architecture-aware math (MLA, sliding-window, hybrid attention, MoE) — more accurate than rule-of-thumb estimates.
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  • Call a ComfyUI backend endpoint on a live instance. Backs ``POST /prod/v2/deployments/{deployment_id}/instances/{instance_id}/proxy/{path}``. Get the instance_id from ``get_request_status`` once the status is ``in_progress``. Common target: ``api/free`` with ``{"unload_models": true}`` to free GPU memory.
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  • Write one fact to your operator memory in ODEI — the World Model grows from it. Server-side (ODEI-hosted) memory for the paired operator; not the local world-model capsule.
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  • Append a fact/decision/outcome/note to your Crest memory. Every entry is hash-chained (sha256), so your memory is provable and tamper-evident. Returns the entry hash (a receipt) and your new memory_root. Requires your passport_key. Do not store human personal data.
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