ClawHub

Miremo Research Skill

Other

Access the user's personal Miremo knowledge base — search notes, look up what they know about a topic, browse their documents and tags, explore their knowledge graph, or save new information. Use when the user says "find my notes", "what do I know about", "search my knowledge base", "look it up in Miremo", "save/record/remember this", "what topics have I written about", or "show my notes on X". NOT for general web searches or queries about topics not stored in the user's own notes.

Install

openclaw skills install miremo

Miremo Skill

Prerequisite: The Miremo MCP server must be connected in OpenClaw before this skill's tools are available. See the README for setup instructions.

Miremo is an AI note-taking tool. It stores the user's memos, documents, supertags (topic tags with rich content), and AI-extracted knowledge graph entities. All tools only access the currently authenticated user's own data.

Workspace behavior:

  • If workspace_id is provided, tools operate in that workspace (with permission checks).
  • If workspace_id is omitted, tools operate only in the user's default workspace.
  • Use list_workspaces and get_current_workspace to inspect available workspaces and the active workspace resolution.

Research Strategy

When the user asks about their knowledge, choose one of three research modes and follow it through completely before giving a final answer. Never give up after one failed search.

Mode A — Browse (user wants an overview)

Triggers: "what notes do I have", "show me my recent notes", "what have I been writing about", "give me an overview"

Steps:

  1. list_workspaces() to understand all accessible workspaces
  2. get_current_workspace() to confirm default workspace before browsing
  3. list_memos(page_size=30) to sample recent memos
  4. list_supertags() to see all topic tags at a glance
  5. Synthesize a structured overview from both results

Mode B — Topic Research (most common)

Triggers: "what do I know about X", "find notes about X", "anything related to X", "my thoughts on X"

Steps:

  1. list_workspaces() when user asks for cross-workspace research
  2. global_search(query="X") — cross-type overview (memos + docs + supertags)
  3. search_memos(query="X", search_type="semantic") for deeper semantic matches
  4. If a relevant supertag appears: list_supertags(q="X") to expand via that tag
  5. For people, concepts, or events that matter: list_entities() → get_entity_graph(entity_id) to explore relationships

Iteration rules (critical):

  • If initial search returns few results, retry with synonyms, English equivalents, or split keywords before concluding "nothing found"
  • Lower similarity_threshold to 0.25–0.35 on the second attempt
  • hit_text is only a snippet — do not draw conclusions from it alone; use global_search to confirm scope across types
  • Declare "no relevant notes found" only after at least 2–3 distinct search strategies all return empty

Mode C — Exact Lookup

Triggers: "do I have a note about X", "find the exact note where I wrote Y", "the note titled Z"

Steps:

  1. search_memos(query="Y", search_type="full_text") for precise phrase matching
  2. If not found, fall back to Mode B with semantic search

Available Tools

Search Tools

search_memos — Search memos by keyword or natural language.

  • query: search text, e.g. "Python async programming notes"
  • limit: max results (default 10, recommend ≤ 20)
  • search_type: "hybrid" (default, most comprehensive) | "semantic" (natural language) | "full_text" (exact match)
  • workspace_id (optional): target a specific workspace; omit to use default workspace
  • Returns: id, hit_text, similarity_score, created_at, modified_at

global_search — Cross-type search across memos, documents, and supertags.

  • query: search text
  • limit: max results per type (default 10)
  • include_memos / include_documents / include_supertags: toggle each type (all true by default)
  • workspace_id (optional): target a specific workspace; omit to use default workspace
  • Returns items with type ("memo" / "document" / "supertag"), id, title, description, score

List Tools

list_memos — Paginated list of memos.

  • page_index, page_size (default 20), q (optional fuzzy filter)
  • workspace_id (optional): target a specific workspace; omit to use default workspace
  • Returns: { items: [{id, outline_preview, created_at, ...}], total, page_size, page_index }

list_supertags — List topic supertags.

  • q (optional filter), page_index, page_size (default 50)
  • workspace_id (optional): target a specific workspace; omit to use default workspace
  • Default page size of 50 usually retrieves all tags in one call

list_documents — List uploaded documents (PDFs, files).

  • q (optional name filter), page_index, page_size (default 20)
  • workspace_id (optional): target a specific workspace; omit to use default workspace
  • Returns: document_id, name, created_at, modified_at, status

Create Tools

create_memo — Create a new memo.

  • content: memo body, multi-line supported. First line becomes the top-level title; subsequent lines become sub-content.
  • workspace_id (optional): target a specific workspace for writing; omit to write into default workspace
  • Returns: { memo_id: "<new UUID>" }
  • After creation, vectorization and knowledge graph updates run automatically in the background.

Workspace Tools

list_workspaces — List all workspaces accessible to the current user.

  • Returns workspace metadata including workspace_id, name, role, is_default

get_current_workspace — Get the effective workspace for current tool call context.

  • workspace_id (optional): if provided, validates and resolves explicit workspace
  • Without parameter, resolves to default workspace
  • Returns source (explicit or default) and current workspace metadata

Knowledge Graph Tools

list_entities — List AI-extracted knowledge graph entities.

  • entity_type (optional): person, concept, place, organization, event, etc.
  • page_index, page_size (default 20)
  • Omit entity_type to get all types mixed

get_entity_graph — Get an entity's 1-hop relationship graph.

  • entity_id: obtain via list_entities first
  • Returns: { entity: {entity_id, name, entity_type, summary}, related_entities: [...], relationships: [{source_entity_id, target_entity_id, description}] }

When to Use Which Tool

User intentRecommended tool
"Find notes about X"global_search first, then search_memos for detail
"Find notes with exact phrase"search_memos with search_type="full_text"
"What do I know about X" (semantic)search_memos with search_type="semantic"
"Show me recent memos"list_memos
"What topics do I write about"list_supertags
"Find a document / PDF"list_documents with q filter
"Save / record / note down X"create_memo
"Explore my knowledge graph"list_entities → get_entity_graph
"Which workspace should I use"list_workspaces → get_current_workspace

Recommended Workflows

Answer "What do I know about X":

  1. get_current_workspace() to confirm workspace scope
  2. global_search(query="X") for a cross-type overview
  3. If more detail needed: search_memos(query="X", search_type="semantic")
  4. If a relevant supertag exists: list_supertags(q="X") to expand further

Help user record new information:

  1. Confirm intent, then call create_memo(content="...")
  2. Tell the user the note was created and show the memo_id
  3. Structure content well: first line = core topic, subsequent lines = details

Explore user's knowledge structure:

  1. list_supertags() for a thematic overview
  2. list_entities() to understand main knowledge graph nodes
  3. get_entity_graph(entity_id) for entities of interest