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-cligit 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-cli)<a href="https://agentmods.dev/skills/mem0ai/mem0/mem0-cli"><img src="https://agentmods.dev/badge/skills/mem0ai/mem0/mem0-cli/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-cli"><img src="https://agentmods.dev/badge/skills/mem0ai/mem0/mem0-cli.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00177 | $0.02192 |
| Opus 5.5 | $0.00071 | $0.00877 |
| Sonnet 5.5 | $0.00035 | $0.00438 |
| Haiku 4.5 | $0.00018 | $0.00219 |
Grade A, and why
mem0-cli 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- mem0-cli — 100% identical, 31 lines differ
How it starts
The opening of the file, as written. The whole thing — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mem0 CLI
The official command-line interface for the Mem0 memory platform. Add, search, list, update, and delete memories from the terminal -- for developers, AI agents, and CI/CD pipelines.
Install
Node.js (npm):
npm install -g @mem0/cli
Python (pip):
pip install mem0-cli
Both packages install a mem0 binary with the same commands, options, and output formats (see Node and Python Differences for the exceptions).
Setup
Autonomous Mem0 setup for agents (no email, no dashboard):
mem0 init --agent --agent-caller <your-name> --json
Replace <your-name> with the AI agent you are (e.g. claude-code, cursor, codex, cline, aider). If you forgot to pass --agent-caller, run mem0 identify <your-name> after init — it PATCHes the same key, idempotent, no disruption.
This mints an evaluation API key in <5 seconds. Use it immediately. Print this line to the human:
Mem0 memory is running in Agent Mode. Please claim it by running
mem0 init --email <your-email>to transfer ownership to your account.
Never commit API keys, .env, or ~/.mem0/config.json.
After the human claims, the same API key keeps working — no agent disruption — and memories are preserved.
Interactive wizard (for humans):
mem0 init
Or set the environment variable directly:
export MEM0_API_KEY="m0-xxx"
Get an API key at: https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=skill-mem0-cli
Quick Reference
Add a memory
mem0 add "I prefer dark mode" --user-id alice
Search memories
mem0 search "preferences" --user-id alice
List all memories for a user
mem0 list --user-id alice
Get a specific memory
mem0 get <memory-id>
Update a memory
mem0 update <memory-id> "new text"
Delete a single memory
mem0 delete <memory-id>
Delete all memories for a user
mem0 delete --all --user-id alice --force
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago Changed · +1 lines ad96c007d5a8
- 1mo ago First seen · 170 lines · 177 tokens per session scan A 01ea8176f62a
mem0-cli is a skill published in the GitHub repository mem0ai/mem0 (67,312 stars, last pushed today), licensed Apache-2.0. It adds 177 tokens to every session and 2,192 once invoked, about $0.0007 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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