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 tourgit 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/tour)<a href="https://agentmods.dev/skills/mem0ai/mem0/tour"><img src="https://agentmods.dev/badge/skills/mem0ai/mem0/tour/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/tour"><img src="https://agentmods.dev/badge/skills/mem0ai/mem0/tour.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00041 | $0.00659 |
| Opus 5.5 | $0.00016 | $0.00264 |
| Sonnet 5.5 | $0.00008 | $0.00132 |
| Haiku 4.5 | $0.00004 | $0.00066 |
Grade A, and why
tour 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 1mo 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.
This is a copy
97% identical to mem0-tour — 152 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Memory Tour
Show the user what Mem0 has stored — a full walkthrough of all memories grouped by category.
Cross-project mode
When invoked with --all-projects (e.g., /mem0-tour --all-projects), search across ALL projects:
- Use
mem0_memorytool withaction="get_all",scope="global"— no project filter. - Group results by project first, then by category within each project.
- Display:
## <project_1> (<N> memories) <- current **Goals** — <memory content> ... ## <project_2> (<N> memories) ... <N> memories across <M> projects - Mark the current project with
<- currentin the heading.
If --all-projects is NOT present, use the standard single-project flow below.
Search mode
When /mem0-tour receives a search query argument (e.g., /mem0-tour cooking recipes), run in search mode — compact one-liner results:
- Use
mem0_memorytool withaction="search",query=<query>. - Display compact results (same format as the search skill).
- If no results:
No memories matching "<query>".
If no query argument and no --all-projects flag, use the full tour flow below.
Execution
Step 1: Fetch ALL memories
Use mem0_memory tool with action="get_all".
Step 2: Group by category
Group memories using their categories field. Map to display names:
| Category | Display name |
|---|---|
identity |
Identity & Background |
preferences |
Preferences |
goals |
Goals & Aspirations |
projects |
Projects & Initiatives |
decisions |
Decisions |
technical |
Technical Knowledge |
relationships |
People & Relationships |
routines |
Routines & Workflows |
lessons |
Lessons Learned |
work |
Work & Professional |
| anything else | Other |
Step 3: Display results
Sort groups by descending memory count. For each group:
## <display_name> (<count> memories)
- <full_memory_content> (<date>)
- ...
Show the full memory text for each entry — do NOT truncate. If a group has more than 10 entries, show top 10 by recency and note ... and <N> more.
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.
- 1mo ago Changed · -35 lines · -4 tokens per session a2af4a47beb4
- 1mo ago First seen · 124 lines · 45 tokens per session scan A 64c10665611b
tour is a skill published in the GitHub repository mem0ai/mem0 (67,799 stars, last pushed 2d ago), licensed Apache-2.0. It adds 41 tokens to every session and 659 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to mem0-tour, differing in 152 lines, and is treated as a copy.
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