Borrowing it
Nothing to install: this file belongs to asynkron/Asynkron.JsEngine. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/asynkron/Asynkron.JsEngine/main/.agents/skills/mem0-cli/SKILL.mdgit clone --depth 1 https://github.com/asynkron/Asynkron.JsEngineWrote 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/asynkron/asynkron.jsengine/mem0-cli)<a href="https://agentmods.dev/skills/asynkron/asynkron.jsengine/mem0-cli"><img src="https://agentmods.dev/badge/skills/asynkron/asynkron.jsengine/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/asynkron/asynkron.jsengine/mem0-cli"><img src="https://agentmods.dev/badge/skills/asynkron/asynkron.jsengine/mem0-cli.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 | $0.00177 | $0.01554 |
| Opus 5.5 | $0.00071 | $0.00622 |
| Sonnet 5.5 | $0.00035 | $0.00311 |
| Haiku 4.5 | $0.00018 | $0.00155 |
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 14d 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
100% identical to mem0-cli — 31 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 — 170 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 identical commands, options, and output formats.
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
Agent / JSON Mode
Use --json or --agent to get structured output suitable for LLM consumption. Every command wraps its response in a standard envelope:
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.
- 14d ago First seen · 170 lines · 177 tokens per session scan A 01ea8176f62a
mem0-cli is a skill published in the GitHub repository asynkron/Asynkron.JsEngine (11 stars, last pushed 3mo ago), licensed MIT. It adds 177 tokens to every session and 1,554 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to mem0-cli, differing in 31 lines, and is treated as a copy.
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