Mem0 Search
Searches memories and displays compact one-liner results, or looks up a specific memory by ID.
by mem0ai · Apache-2.0
The skill
Searches memories and displays compact one-liner results, or looks up a specific memory by ID. Use for quick memory lookups, checking if a decision was recorded, resolving [mem0:id] citations, or browsing memories without full category detail.
Mem0 Search
Quick search with compact output. Lighter than /mem0-tour.
Execution
Step 1: Parse query
The user provides a search query: /mem0-search auth middleware
If no query provided, ask: "What should I search for?"
Memory ID detection: If the query matches any of these patterns, treat it as a direct memory ID lookup instead of a search:
- Bare hex:
^[a-f0-9]{8}$(short ID) or^[a-f0-9]{8}-[a-f0-9-]+$(full UUID) - Citation ref:
[mem0:<hex>]— extract the hex portion
When an ID is detected:
- Call
get_memory(<id>)directly (if short ID, try as prefix of full UUID) - If found, skip to Step 3 and display the single result
- If not found, fall through to search using the ID as query text
Step 2: Search
Call search_memories once with the user's question: query=<user's query>, filters={"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}]}, top_k=10.
Step 3: Display
Show compact results:
## mem0 search: "<query>" (<N> results)
1. [decision] Auth module uses JWT with RS256 keys (2025-05-15) [mem0:a3f8b2c1]
2. [anti_pattern] Don't use symmetric HS256 — leaked in env (2025-05-10) [mem0:7e2d9f4a]
3. [convention] All middleware in src/middleware/ (2025-05-08) [mem0:c4d5e6f7]
Format: <number>. [<type>] <content, 80 chars> (<date>) [mem0:<short_id>]
If no results:
No memories matching "<query>" for project <project_id>.
Output formatting
IMPORTANT: Do NOT use markdown in your output. OpenCode TUI renders text verbatim — markdown like bold, ## headers, and | table | syntax appears as raw characters. Use plain text with indentation for structure. Use dashes for lists. Use spaces to align columns instead of markdown tables.
Use this skill
Connect your agent to the Skill Store MCP server and ask for it by ref: mem0ai/mem0-search-171368254.
Details
- Publisher
- mem0ai
- Category
- AI & Agents › Memory & context
- License
- Apache-2.0
- Updated
- 2026-10-14