| name | import |
| description | 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. |
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
Read the export file directly. It is a JSON file containing a top-level memories array. Each element has:
id — original memory ID (for reference only; a new ID will be assigned on import)
type — metadata type
confidence — metadata confidence value
branch — metadata branch
files — list of associated files
categories — list of categories
content — the memory text
Parse the JSON in-memory (do not run any external script). If the file cannot be read or parsed, or if the memories array is missing or empty, print:
Failed to parse <filename> or file contains no valid memory blocks.
and stop.
Step 3: Resolve identity
Determine the active identity:
user_id from MEM0_USER_ID env var, else $USER, else "default"
project_id (used as app_id) from MEM0_PROJECT_ID env var, or via the project resolver
Step 4: Import each memory
For each record in the parsed JSON array, call add_memory (MCP tool) 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
content is empty.
- 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: Import
For each selected tool, read the file(s) directly and split the content into logical
chunks to import as individual memories. No external scripts are used — all parsing
and importing is done via MCP tools.
Chunking rules per tool:
-
cursorrules / copilot / continue: Read the file as plain text. Split on blank
lines or section headers (#, ##). Each non-empty chunk becomes one memory.
Skip chunks shorter than 50 characters.
-
cline (memory-bank/): List all .md files in the directory. Read each file.
Split each file on blank lines or headers. Each non-empty chunk becomes one memory.
Skip chunks shorter than 50 characters.
For each chunk, call add_memory (MCP tool) with:
text="<chunk text>"
user_id=<active_user_id>
app_id=<active_project_id>
metadata={"type": "task_learning", "source": "<tool>-import", "confidence": 0.8}
infer=False
Where <tool> is cursorrules, copilot, cline, or continue.
Notes: chunks longer than 10,000 characters are truncated before import. Safe to
re-run — deduplication handles repeated entries.
T4: Report
Imported <N> memories into <project_id> (cursor: <N>, copilot: <N>)
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 directly. 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_memory (MCP tool) with:
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
add_memory calls fail consistently (e.g. auth error), report the issue and stop early.
Output formatting
IMPORTANT: Do NOT use markdown in your output. OpenCode TUI renders text verbatim — markdown like bold, ## headers, and | table | syntax appears as raw characters. Use plain text with indentation for structure. Use dashes for lists. Use spaces to align columns instead of markdown tables.