mem0/cli

mem0 CLI

The official command-line interface for mem0 — the memory layer for AI agents. Works with the Mem0 Platform API. Available in Python and Node.js.

For AI agents: pass --agent (or --json) on any command for structured JSON output purpose-built for tool loops — sanitized fields, no colors or spinners, errors as JSON. See Agent mode below.

Installation

npm install -g @mem0/cli

pip install mem0-cli

Both packages install a mem0 binary with identical behavior.

Quick start

# Interactive setup wizard
mem0 init

# Or login via email (get a new API key)
mem0 init --email alice@company.com

# Or authenticate with an existing API key
mem0 init --api-key m0-xxx

# Add a memory
mem0 add "I prefer dark mode and use vim keybindings" --user-id alice

# Search memories
mem0 search "What are Alice's preferences?" --user-id alice

# List all memories for a user
mem0 list --user-id alice

# Update a memory
mem0 update <memory-id> "I switched to light mode"

# Delete a memory
mem0 delete <memory-id>

Commands

Command	Description
mem0 init	Setup wizard — login via email or configure API key manually
mem0 add	Add a memory from text, JSON messages, a file, or stdin
mem0 search	Search memories using natural language
mem0 list	List memories with optional filters and pagination
mem0 get	Retrieve a specific memory by ID
mem0 update	Update the text or metadata of a memory
mem0 delete	Delete a memory, all memories for a scope, or an entity
mem0 import	Bulk import memories from a JSON file
mem0 config	View or modify CLI configuration
mem0 entity	List or delete entities (users, agents, apps, runs)
mem0 event	Inspect background processing events (bulk deletes, large add jobs)
mem0 status	Verify API connection and display current project
mem0 version	Print the CLI version

Run mem0 <command> --help for detailed usage on any command.

Agent mode

Pass --agent (or its alias --json) as a global flag on any command to get output designed for AI agent tool loops:

mem0 --agent search "user preferences" --user-id alice
mem0 --agent add "User prefers dark mode" --user-id alice
mem0 --agent list --user-id alice

Every command returns the same envelope shape:

{
  "status": "success",
  "command": "search",
  "duration_ms": 134,
  "scope": { "user_id": "alice" },
  "count": 2,
  "data": [
    { "id": "abc-123", "memory": "User prefers dark mode", "score": 0.97, "created_at": "2026-01-15", "categories": ["preferences"] }
  ]
}

What agent mode does differently from --output json:

• Sanitized data: only the fields an agent needs (id, memory, score, etc.) — no internal API noise
• No human output: spinners, colors, and banners are suppressed entirely
• Errors as JSON: errors go to stdout as {"status": "error", "command": "...", "error": "..."} with a non-zero exit code

Use mem0 help --json to get the full command tree as JSON — useful for agents that need to self-discover available commands.

Output formats

Control how results are displayed with --output:

Format	Description
text	Human-readable with colors and formatting (default)
json	Structured JSON for piping to jq (raw API response)
table	Tabular format (default for list)
quiet	Minimal — just IDs or status codes
agent	Structured JSON envelope with sanitized fields (set by --agent/--json)

Environment variables

Variable	Description
MEM0_API_KEY	API key (overrides config file)
MEM0_BASE_URL	API base URL
MEM0_USER_ID	Default user ID
MEM0_AGENT_ID	Default agent ID
MEM0_APP_ID	Default app ID
MEM0_RUN_ID	Default run ID
MEM0_ENABLE_GRAPH	Enable graph memory (true / false)

Implementations

Language	Directory	Package	Docs
TypeScript	node/	@mem0/cli	README
Python	python/	mem0-cli	README

Documentation

Full documentation is available at docs.mem0.ai/platform/cli.

License

Apache-2.0