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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).

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Quellinformationen

Repository
Natsummerance/agents
Letzte Quellaktivität
26. August 2026 um 06:52
Erkannte Sprache von SKILL.md
Englisch
Sterne
3
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0

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
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":"1.1.0","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 **Autonomous Mem0 setup for agents (no email, no dashboard):** ```bash 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):** ```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?utm_source=oss&utm_medium=skill-mem0-cli ## 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`. ## 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) |
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