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SkillsAI & Agent Engineering › Memory & context

mem0-cli

Mem0 CLI — the command-line interface for mem0 memory operations. TRIGGER when: user mentions "mem0 cli", "mem0 command line", "@mem0/cli", "mem0-cli", "pip install mem0-cli", "npm install -g @mem0/cli", or is running mem0 commands in a terminal/shell (mem0 add, mem0 search, mem0 list, mem0 get, mem0 init, mem0 config, mem0 import). Also triggers when query includes CLI flags like –user-id, –output, –json, –agent, or describes bash/zsh/terminal/shell usage. DO NOT TRIGGER when: user asks about programmatic SDK integration in Python/TS code (use mem0 skill), or Vercel AI SDK provider (use mem0-vercel-ai-sdk skill).

Freerisk: low
mem0pythontypescript

Tools: mem0-cli,-g

The full skill

— name: mem0-cli description: > Mem0 CLI — the command-line interface for mem0 memory operations. TRIGGER when: user mentions "mem0 cli", "mem0 command line", "@mem0/cli", "mem0-cli", "pip install mem0-cli", "npm install -g @mem0/cli", or is running mem0 commands in a terminal/shell (mem0 add, mem0 search, mem0 list, mem0 get, mem0 init, mem0 config, mem0 import). Also triggers when query includes CLI flags like –user-id, –output, –json, –agent, or describes bash/zsh/terminal/shell usage. DO NOT TRIGGER when: user asks about programmatic SDK integration in Python/TS code (use mem0 skill), or Vercel AI SDK provider (use mem0-vercel-ai-sdk skill). license: Apache-2.0 metadata: author: mem0ai version: "1.0.0" category: ai-memory tags: "cli, terminal, memory, ai, command-line" compatibility: Node.js 18+ (npm install -g @mem0/cli) or Python 3.10+ (pip install mem0-cli), MEM0_API_KEY env var — # 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):** “`bash npm install -g @mem0/cli “` **Python (pip):** “`bash pip install mem0-cli “` Both packages install a `mem0` binary with identical commands, options, and output formats. ## Setup **Interactive wizard:** “`bash mem0 init “` **Or set the environment variable directly:** “`bash export MEM0_API_KEY="m0-xxx" “` Get an API key at: https://app.mem0.ai/dashboard/api-keys ## Quick Reference ### Add a memory “`bash mem0 add "I prefer dark mode" –user-id alice “` ### Search memories “`bash mem0 search "preferences" –user-id alice “` ### List all memories for a user “`bash mem0 list –user-id alice “` ### Get a specific memory “`bash mem0 get <memory-id> “` ### Update a memory “`bash mem0 update <memory-id> "new text" “` ### Delete a single memory “`bash mem0 delete <memory-id> “` ### Delete all memories for a user “`bash 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: “`json { "status": "success", "command": "search", "duration_ms": 245, "scope": { "user_id": "alice" }, "count": 3, "error": null, "data": [ { "id": "mem-abc", "memory": "User prefers dark mode", "score": 0.92 } ] } “` On error: “`json { "status": "error", "command": "search", "error": "Authentication failed. Your API key may be invalid or expired.", "data": null } “` The `–agent` flag is an alias for `–json`. Both write spinners and progress to stderr so stdout is always clean, parseable JSON. ## Node and Python Parity Both the Node.js (`@mem0/cli`) and Python (`mem0-cli`) CLIs are implemented from the same specification (`cli-spec.json`). They share: – Identical command names, arguments, and flags – Identical output formats (text, json, table, quiet) – Identical entity ID resolution, graph tri-state, filter building – Identical error messages and exit codes Choose whichever runtime you already have installed. The behavior is the same. ## Common Edge Cases – **Async processing delay:** After `mem0 add`, memories process asynchronously. Wait 2-3 seconds before searching for newly added content. Use `mem0 event list` to check processing status. – **`–all` vs `–entity` delete modes:** `mem0 delete –all -u alice` deletes all memories for user alice. `mem0 delete –entity -u alice` deletes the entity itself AND all its memories (cascade). These are mutually exclusive modes. – **Entity ID resolution:** If you pass any explicit scope flag (e.g. `–user-id`), the CLI uses ONLY the explicit IDs and ignores config defaults. If no scope flags are given, all configured defaults apply. – **Stdin detection:** When no text argument is provided and input is piped (not a TTY), the CLI reads from stdin. Works with `add`, `search`, and `update`. – **Graph tri-state:** `–no-graph` takes precedence over `–graph`, which takes precedence over the config default (`defaults.enable_graph`). ## References Load these on demand for deeper detail: | Topic | File | |——-|——| | Command reference (all commands, flags, options, examples) | [references/command-reference.md](references/command-reference.md) | | Configuration (config file, env vars, precedence, init wizard) | [references/configuration.md](references/configuration.md) | | Workflows (piping, scripting, CI/CD, agent mode recipes) | [references/workflows.md](references/workflows.md) | ## Related Mem0 Skills | Skill | When to use | Link | |——-|————-|——| | mem0 | Python/TypeScript SDK, REST API, framework integrations | [local](../mem0/SKILL.md) / [GitHub](https://github.com/mem0ai/mem0/tree/main/skills/mem0) | | mem0-vercel-ai-sdk | Vercel AI SDK provider with automatic memory | [local](../mem0-vercel-ai-sdk/SKILL.md) / [GitHub](https://github.com/mem0ai/mem0/tree/main/skills/mem0-vercel-ai-sdk) |