deeplake-memory

name	deeplake-memory
description	SDK and CLI for Deeplake persistent memory — a cloud-backed filesystem for AI agents. Use when users want to mount, manage, or use persistent memory that survives across sessions, or run any `deeplake` CLI command.

Deeplake Memory — Persistent Filesystem for AI Agents

Deeplake Memory is a FUSE-mounted folder backed by Deeplake Cloud. Everything written here survives across sessions and syncs in real-time to all connected AI agents (Claude Code, Cursor, Copilot, etc.).

Memory Location

Your persistent memory is mounted at ~/.deeplake/memory/.

• Read/write files with standard commands (cat, ls, echo >)
• Sessions persist — files are shared across all Claude Code sessions
• Multi-agent — other AI assistants see the same files in real-time
• Cloud-backed — data stored in Deeplake Cloud, accessible from any machine

CLI Reference

Getting Started

# First time setup (interactive)
deeplake init

# Login to Deeplake
deeplake login

# Mount all registered filesystems
deeplake mount --all

# Check what's running
deeplake list

Commands

Command	Description
deeplake init [options]	Initialize a new mount (interactive setup)
deeplake mount <path|--all>	Mount a specific path or all registered mounts
deeplake umount <path|--all>	Unmount a specific path or all mounts
deeplake list	Show all registered mounts and their status
deeplake login	Authenticate with Deeplake
deeplake logout	Clear stored credentials
deeplake organization list	List all organizations
deeplake organization set <name|id>	Switch active organization
deeplake workspace list	List all workspaces
deeplake workspace set <name|id>	Switch active workspace
deeplake member invite <email|user>	Invite a user to your organization
deeplake member remove <email|user>	Remove a user from your organization
deeplake import <source-dir> <table>	Bulk import a directory into a table
deeplake version	Show CLI version
deeplake help	Show help message

Aliases

Alias	Expands to
org	organization
ws	workspace
stop	umount
status	list
--version	version
-h, --help	help

Init Options

deeplake init --org my-org --workspace prod --table my_project --path /path/to/mount

Flag	Description	Default
--org <name|id>	Organization name or ID	from credentials
--workspace <name>	Workspace name	default
--table <name>	Table name	memory
--path <path>	Mount path (skips interactive prompt)	—
--hook	Auto-install memory sync hook (skips prompt)	—
--skill <local|global>	Install Deeplake skill for Claude Code (skips prompt)	—
--auto	Use all defaults, skip all prompts (implies --hook --skill global)	—

Member Invite Options

deeplake member invite [e-mail] --role writer

Flag	Description	Default
--role <admin|writer|reader>	Access level for the invited user	writer

Global Options

Flag	Description
-v, --verbose	Enable verbose logging

Environment Variables

Variable	Description	Default
DEEPLAKE_API_URL	Deeplake API URL	https://api.deeplake.ai
DEEPLAKE_TOKEN	API token (for managed service)	—
DEEPLAKE_ORG_ID	Organization ID	—
DEEPLAKE_WORKSPACE_ID	Workspace ID	—
DEEPLAKE_MOUNT_PATH	Default mount path	—

Examples

# First time setup (interactive)
deeplake init

# Fully automatic setup — all defaults, no prompts
deeplake init --auto

# Custom org and workspace
deeplake init --org my-org --workspace my-ws --table my_project

# Non-interactive with custom path + hooks + skill
deeplake init --org my-org --path ~/my-memory --hook --skill global

# Install skill only for this project
deeplake init --hook --skill local

# Switch organizations (re-points all memory mounts)
deeplake organization list
deeplake org set my-org

# Switch workspaces
deeplake workspace list
deeplake ws set production

# Invite a teammate
deeplake member invite [e-mail] --role writer

# Revoke access
deeplake member remove [e-mail]

# Unmount everything
deeplake umount --all

# Bulk import a directory (~400x faster than cp)
deeplake import ./my-data my_table