Install
$ agentstack add skill-cdeust-cortex-cortex-import ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ● Filesystem access Used
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README — it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming — see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps — measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Import Memories — Multi-Source Migration
Detect available memory sources and import them into Cortex. Run fully autonomously — detect, import, consolidate.
Phase 1: Source Detection
Run this bash command to detect all sources:
echo "=== Memory Sources ==="
# 1. Claude Code JSONL
CC=$(find ~/.claude/projects -name "*.jsonl" 2>/dev/null | wc -l | tr -d ' ')
echo "Claude Code JSONL: $CC files"
# 2. Claude Desktop sessions
CD=$(find ~/Library/Application\ Support/Claude/claude-code-sessions -name "*.json" 2>/dev/null | wc -l | tr -d ' ')
echo "Claude Desktop: $CD session files"
# 3. claude-mem
if [ -f ~/.claude-mem/claude-mem.db ]; then
CM=$(sqlite3 ~/.claude-mem/claude-mem.db "SELECT COUNT(*) FROM observations" 2>/dev/null || echo "0")
echo "claude-mem: $CM observations"
else
echo "claude-mem: not found"
fi
# 4. ChatGPT — desktop app stores binary, need web export
CHATGPT=$(find ~/Downloads -name "conversations.json" -maxdepth 3 2>/dev/null | head -1)
if [ -n "$CHATGPT" ]; then
echo "ChatGPT export: $CHATGPT"
else
echo "ChatGPT: no export (get from chatgpt.com → Settings → Data controls → Export)"
fi
# 5. Gemini Takeout
GEMINI=$(find ~/Downloads -path "*Gemini*" -name "*.json" -maxdepth 5 2>/dev/null | head -1)
if [ -n "$GEMINI" ]; then
echo "Gemini export: $GEMINI"
else
echo "Gemini: no export (get from takeout.google.com → select Gemini Apps)"
fi
# 6. Cursor
if [ -d ~/.cursor ]; then
CU=$(find ~/.cursor -name "*.jsonl" 2>/dev/null | wc -l | tr -d ' ')
echo "Cursor: $CU files"
else
echo "Cursor: not installed"
fi
Report findings, then proceed with each detected source.
Phase 2: Claude Code Import
If Claude Code JSONL files exist (always the case):
cortex:backfill_memories({"max_files": 500, "min_importance": 0.3, "force_reprocess": false})
Phase 3: claude-mem Import
If ~/.claude-mem/claude-mem.db exists, run:
DEPS_DIR="$HOME/.claude/plugins/data/hypermnesia-mcp-cortex-plugins/deps"
PYTHONPATH="${CLAUDE_PLUGIN_ROOT:-/Users/cdeust/.claude/plugins/marketplaces/cortex-plugins}:$DEPS_DIR" \
DATABASE_URL="${DATABASE_URL:-postgresql://localhost:5432/cortex}" \
python3 -c "
import sqlite3, json, asyncio, sys, os
db_path = os.path.expanduser('~/.claude-mem/claude-mem.db')
conn = sqlite3.connect(db_path)
conn.row_factory = sqlite3.Row
rows = conn.execute('SELECT type, title, narrative, facts, concepts, created_at_epoch, project FROM observations ORDER BY created_at_epoch').fetchall()
print(f'Found {len(rows)} claude-mem observations')
from mcp_server.handlers.remember import handler as remember_handler
from datetime import datetime, timezone
imported = 0
for row in rows:
parts = []
if row['title']: parts.append(row['title'])
if row['narrative']: parts.append(row['narrative'])
if row['facts']:
try:
for f in json.loads(row['facts']): parts.append(str(f))
except: pass
content = '\n'.join(parts)
if len(content) ChatGPT desktop app stores conversations in binary format — not readable. To import, export from the web:
> 1. Go to **chatgpt.com → Settings → Data controls → Export data**
> 2. Wait for the email with the download link
> 3. Unzip to ~/Downloads/
> 4. Run `/cortex-import` again
## Phase 5: Gemini Import
If Gemini Takeout JSON files found, scan the `Gemini Apps/` folder for conversation JSON:
```bash
DEPS_DIR="$HOME/.claude/plugins/data/hypermnesia-mcp-cortex-plugins/deps"
PYTHONPATH="${CLAUDE_PLUGIN_ROOT:-/Users/cdeust/.claude/plugins/marketplaces/cortex-plugins}:$DEPS_DIR" \
DATABASE_URL="${DATABASE_URL:-postgresql://localhost:5432/cortex}" \
python3 -c "
import json, asyncio, sys, os, glob
gemini_dir = 'REPLACE_WITH_PATH_TO_GEMINI_TAKEOUT'
files = glob.glob(os.path.join(gemini_dir, '**/*.json'), recursive=True)
from mcp_server.handlers.remember import handler as remember_handler
imported = 0
for fp in files:
try:
with open(fp) as f: data = json.load(f)
except: continue
if not isinstance(data, list): data = [data]
for item in data:
parts = item.get('parts', [])
for part in parts:
text = part.get('text', '')
if len(text) To import Gemini conversations:
> 1. Go to **takeout.google.com**
> 2. Deselect all, then select **Gemini Apps**
> 3. Download and unzip to ~/Downloads/
> 4. Run `/cortex-import` again
## Phase 6: Consolidation
After all imports:
cortex:consolidate({}) cortex:memory_stats({})
## Final Summary
Print one summary block with all results.
## Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- **Author:** [cdeust](https://github.com/cdeust)
- **Source:** [cdeust/Cortex](https://github.com/cdeust/Cortex)
- **License:** MIT
- **Homepage:** https://ai-architect.tools
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.