mem0-search

A quick memory lookup tool that searches saved mem0 memories or opens one by its ID. An ID is the short code used to identify a specific memory.

In plain words
What is it for?
Use it to search for project information, find recorded decisions, or resolve a memory citation.
Why use it?
It makes it easier to check whether a decision was recorded without browsing every stored memory.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/mem0ai/mem0/mem0-search
Any agent
npx skills add mem0ai/mem0 --skill mem0-search
Clone the repo
git clone --depth 1 https://github.com/mem0ai/mem0

Made for: Claude Code, Codex.

Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 636 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00054 $0.00636
Opus 5 $0.00027 $0.00318
Sonnet 5 $0.00011 $0.00127
Haiku 4.5 $0.00005 $0.00064

Measured yesterday against content hash 44b879077e7d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mem0-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

integrations/mem0-plugin/.opencode-plugin/opencode-skills/mem0-search/SKILL.md · 57 lines

What it actually says

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:

  1. Call get_memory(<id>) directly (if short ID, try as prefix of full UUID)
  2. If found, skip to Step 3 and display the single result
  3. If not found, fall through to search using the ID as query text

Step 2: Search

Run 2 parallel search_memories calls:

  1. Broad: query=<user's query>, filters={"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}]}, top_k=10, rerank=true
  2. Targeted: query=<user's query>, filters={"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}, {"metadata": {"type": "decision"}}]}, top_k=5, rerank=true

Step 3: Display

Deduplicate by ID, then 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.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 57 lines · 54 tokens per session scan A 44b879077e7d

Subscribe to this mod's changes

mem0-search is a skill published in the GitHub repository mem0ai/mem0 (64,360 stars, last pushed 3d ago), licensed Apache-2.0. It adds 54 tokens to every session and 636 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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