mem0 is memory infrastructure that lets AI agents and applications store and retrieve information across interactions. It supports agents and developers who need persistent context for AI systems.
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.
npx skills add mem0ai/mem0 --skill mem0-searchgit clone --depth 1 https://github.com/mem0ai/mem0Wrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mem0ai/mem0/mem0-search)<a href="https://agentmods.dev/skills/mem0ai/mem0/mem0-search"><img src="https://agentmods.dev/badge/skills/mem0ai/mem0/mem0-search/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mem0ai/mem0/mem0-search"><img src="https://agentmods.dev/badge/skills/mem0ai/mem0/mem0-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00054 | $0.00566 |
| Opus 5.5 | $0.00022 | $0.00226 |
| Sonnet 5.5 | $0.00011 | $0.00113 |
| Haiku 4.5 | $0.00005 | $0.00057 |
Grade A, and why
mem0-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 22d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Mem0 Search
Quick search with compact output. Lighter than /mem0-tour.
Execution
Step 1: Parse query
The user provides a search query: /mem0-search auth middleware
If no query provided, ask: "What should I search for?"
Memory ID detection: If the query matches any of these patterns, treat it as a direct memory ID lookup instead of a search:
- Bare hex:
^[a-f0-9]{8}$(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.
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.
- 22d ago Changed · -3 lines 35d8cd15b4f3
- 1mo ago First seen · 57 lines · 54 tokens per session scan A 44b879077e7d
mem0-search is a skill published in the GitHub repository mem0ai/mem0 (67,242 stars, last pushed yesterday), licensed Apache-2.0. It adds 54 tokens to every session and 566 once invoked, about $0.0002 per session on Opus 5.5. 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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