mem0-cli

A command-line interface (CLI) for managing Mem0 memories from a terminal. It can add, search, list, update, and delete memories, and set up access for an agent or automated build process.

In plain words
What is it for?
Use it to install and configure Mem0, manage saved memories with commands, and run memory operations in development or automated workflows.
Why use it?
It lets developers manage memory from scripts, terminals, and continuous integration pipelines instead of writing each operation themselves.

Skill for Claude CodeCodex

▶ Mem0 + Claude Code MCP — Give Your AI Agent a Permanent Memory Prompt Engineer · about mem0ai/mem0 · on YouTube →
Install

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.

agentmods
npx agentmods add skills/mem0ai/mem0/mem0-cli
Any agent
npx skills add mem0ai/mem0 --skill mem0-cli
Clone the repo
git clone --depth 1 https://github.com/mem0ai/mem0

Made for: Claude Code, Codex.

Per session 177 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,554 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00177 $0.01554
Opus 5 $0.00088 $0.00777
Sonnet 5 $0.00035 $0.00311
Haiku 4.5 $0.00018 $0.00155

Measured 3d ago against content hash 01ea8176f62a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 3d 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.

skills/mem0-cli/SKILL.md · 170 lines

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:

Read the full file on GitHub · 170 lines

Files

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.

Changes

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.

  1. 3d ago First seen · 170 lines · 177 tokens per session scan A 01ea8176f62a

Subscribe to this mod's changes

mem0-cli is a skill published in the GitHub repository mem0ai/mem0 (64,535 stars, last pushed today), licensed Apache-2.0. It adds 177 tokens to every session and 1,554 once invoked, about $0.0009 per session on Opus 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.