
import
Imports memories from an exported Markdown file or MEMORY.md into the current project. Use when migrating from another project, restoring from backup, importing Claude Code native MEMORY.md content, or setting up a new project with existing knowledge.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/mem0ai/mem0 --skill import- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads import automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Mem0 Import
Import memories from a mem0 export file into the current project.
Execution
Step 1: Determine the export file to import
If the user provided a filename as an argument to /mem0:import <filename>, use that file.
Otherwise, list .md files in the current directory whose names contain mem0-export:
ls -1 *.md 2>/dev/null | grep mem0-export || echo "No export files found"
If multiple files are found, ask the user which one to import. If none are found, print:
No mem0-export files found in the current directory.
Run /mem0:export first, or provide the filename: /mem0:import <path-to-file>
Step 2: Parse the export file
Determine the plugin root. Use the appropriate variable for the current platform:
- Claude Code:
${CLAUDE_PLUGIN_ROOT} - Codex:
${CODEX_PLUGIN_ROOT} - Cursor:
${CURSOR_PLUGIN_ROOT}
Run the parser script to extract memory records as JSON:
python3 "<PLUGIN_ROOT>/scripts/parse_export_file.py" "<path-to-export-file>"
This outputs a JSON array where each element has:
id— original memory ID (for reference only; a new ID will be assigned on import)type— metadata typeconfidence— metadata confidence valuebranch— metadata branchfiles— list of associated filescategories— list of categoriescontent— the memory text
If the script fails or outputs [], print:
Failed to parse <filename> or file contains no valid memory blocks.
and stop.
Step 3: Resolve identity
Determine the active identity:
user_idfromMEM0_USER_IDenv var, else$USER, else"default"project_id(used asapp_id) fromMEM0_PROJECT_IDenv var, or via the project resolver
Step 4: Import each memory
For each record in the parsed JSON array, call add_memory with:
text="<record.content>"user_id=<active_user_id>app_id=<active_project_id>metadata={"type": "<record.type>"(if non-empty)"confidence": "<record.confidence>"(if non-empty)"branch": "<record.branch>"(if non-empty)"files": <record.files>(the list, if non-empty)"source": "import"}
infer=False
Notes:
- Do NOT pass the original
id— the platform assigns a new ID. - Skip records where
contentis empty (the parser already filters these, but be defensive). - Continue importing even if individual records fail; track the count of successes.
Step 5: Print results
Imported <N> memories into project <project_id>
Where <N> is the number of successfully imported memories.
If any failed:
Imported <N>/<total> memories into project <project_id> (<failed> failed)
Importing from competing AI tools (--tools)
When invoked with --tools (e.g., /mem0:import --tools), detect and import
from competing AI tool configuration files:
Supported tools
| Tool | File/directory |
|---|---|
| Cursor | .cursorrules |
| GitHub Copilot | .github/copilot-instructions.md |
| Cline | memory-bank/ (directory of .md files) |
| Continue | .continue/rules.md |
T1: Detect
test -f .cursorrules && echo "cursor: .cursorrules"
test -f .github/copilot-instructions.md && echo "copilot: .github/copilot-instructions.md"
test -d memory-bank/ && echo "cline: memory-bank/"
test -f .continue/rules.md && echo "continue: .continue/rules.md"
T2: Ask user
List found files, ask which to import (numbers, comma-separated, or "all"). If none found:
No competing tool configuration files found.
Checked: .cursorrules, .github/copilot-instructions.md, memory-bank/, .continue/rules.md
T3: Run import
For each selected tool:
python3 "<PLUGIN_ROOT>/scripts/import_competing_tools.py" <tool> --path <file>
Tools: cursorrules, copilot, cline, continue.
T4: Report
Imported <N> memories into <project_id> (cursor: <N>, copilot: <N>)
Notes: infer=False, tagged metadata.source=<tool>-import, sections <50 chars
skipped, chunks >10k chars truncated, safe to re-run (deduplication handles it).
Importing Claude Code's native MEMORY.md
When invoked with a path to Claude Code's native MEMORY.md file (typically
~/.claude/projects/<proj-key>/memory/MEMORY.md), or when on_session_start.sh
detects native auto-memory and the user chooses to import:
- Read the file. It contains newline-separated memory entries (one fact per line,
sometimes with
-bullet prefix). - Split by non-empty lines. Each line becomes one memory.
- Skip lines shorter than 20 characters or lines that are just headers (
#). - For each line, call
add_memorywith:text="<line>"user_id=<active_user_id>app_id=<active_project_id>metadata={"type": "task_learning", "source": "memory-md-import", "confidence": 0.8}infer=False
- Report:
Imported <N> memories from MEMORY.md into project <project_id> - Suggest disabling native auto-memory:
To avoid duplicate memory systems, add to ~/.claude/settings.json: "autoMemoryEnabled": false
This handles the cold-start gap when a user has been using Claude Code's native memory and switches to mem0.
Error Handling
- If the parser script is not found at
<PLUGIN_ROOT>/scripts/parse_export_file.py, print an error and stop. - If
add_memorycalls fail consistently (e.g. auth error), report the issue and stop early.
FAQ
What does the import skill do?
Imports memories from an exported Markdown file or MEMORY.md into the current project. Use when migrating from another project, restoring from backup, importing Claude Code native MEMORY.md content, or setting up a new project with existing knowledge.
How do I install import?
Run npx skills add https://github.com/mem0ai/mem0 --skill import in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/import/ (personal) or .claude/skills/import/ (project).
Which AI agents can use import?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is import safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains import?
It is published by mem0ai in mem0ai/mem0. It has 93 recorded installs.
More from mem0ai/mem0
mem0
mem0ai/mem0
Mem0 Platform SDK for adding persistent memory to AI applications. TRIGGER when: user mentions "mem0", "MemoryClient", "memory layer", "remember user preferences", "persistent context", "personalization", or needs to add long-term memory to chatbots, agents, or AI apps. Covers Python SDK (mem0ai), TypeScript SDK (mem0ai), and framework integrations (LangChain, CrewAI, OpenAI Agents SDK, Pipecat, LlamaIndex, AutoGen, LangGraph). Also covers the open-source self-hosted Memory class. This is the DEFAULT mem0 skill for ambiguous queries. DO NOT TRIGGER when: user asks about CLI commands, terminal usage, or shell scripts (use mem0-cli), or Vercel AI SDK / @mem0/vercel-ai-provider / createMem0 (use mem0-vercel-ai-sdk).
mem0-cli
mem0ai/mem0
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).
mem0-vercel-ai-sdk
mem0ai/mem0
Mem0 provider for Vercel AI SDK (@mem0/vercel-ai-provider). TRIGGER when: user mentions "vercel ai sdk", "@mem0/vercel-ai-provider", "createMem0", "retrieveMemories", "addMemories", "getMemories", "searchMemories", "mem0 vercel", "AI SDK provider", "AI SDK memory", or is using generateText/streamText with mem0. Also triggers for Next.js apps needing memory-augmented AI. DO NOT TRIGGER when: user asks about direct Python/TS SDK calls without Vercel (use mem0 skill), or CLI terminal commands (use mem0-cli skill).
mem0-test-integration
mem0ai/mem0
Open the skill to read its SKILL.md instructions.
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