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 pausegit 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/pause)<a href="https://agentmods.dev/skills/mem0ai/mem0/pause"><img src="https://agentmods.dev/badge/skills/mem0ai/mem0/pause/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/pause"><img src="https://agentmods.dev/badge/skills/mem0ai/mem0/pause.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00030 | $0.00181 |
| Opus 5.5 | $0.00012 | $0.00072 |
| Sonnet 5.5 | $0.00006 | $0.00036 |
| Haiku 4.5 | $0.00003 | $0.00018 |
Grade A, and why
pause scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 28d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Pause memory capture
To pause (hooks stop capturing and sending session content; a minimal
telemetry ping still fires at session start, under your Mem0 account email,
unless MEM0_TELEMETRY=false):
python3 "${ANTIGRAVITY_PLUGIN_ROOT}/core/memory_cli.py" --harness "antigravity" pause
Confirm the new state back to the user, and remind them that already-created
memories still exist and remain searchable. Pending unsent packets are held
while paused, not expired, and are delivered after resuming. To turn capture
back on, use /mem0:resume.
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.
- 28d ago Changed a461aefc4c6e
- 1mo ago Changed f586cfda7a37
- 1mo ago First seen · 21 lines · 30 tokens per session scan A 1551b108c9cb
pause is a skill published in the GitHub repository mem0ai/mem0 (67,312 stars, last pushed today), licensed Apache-2.0. It adds 30 tokens to every session and 181 once invoked, about $0.0001 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 2026-09-02.
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