Dani
672f4f357d
Built CC's persistent memory system: - memory.json for global context tracking - Session logs for detailed history - Project templates for organization - Helper scripts for easy updates - Full documentation CC can now remember across conversations! 🔥 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
91 lines
2.8 KiB
Python
91 lines
2.8 KiB
Python
#!/usr/bin/env python3
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"""
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CC Memory Update Helper
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Quick script to help CC update memory.json
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"""
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import json
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from datetime import datetime
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from pathlib import Path
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# Memory file location
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MEMORY_FILE = Path(__file__).parent / "memory.json"
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def load_memory():
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"""Load current memory"""
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with open(MEMORY_FILE, 'r') as f:
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return json.load(f)
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def save_memory(data):
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"""Save memory with pretty formatting"""
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with open(MEMORY_FILE, 'w') as f:
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json.dump(data, f, indent=2)
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def update_session_end(project_name, accomplishments, next_steps):
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"""Update memory at end of session"""
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memory = load_memory()
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# Update session info
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memory['last_session'] = datetime.now().strftime('%Y-%m-%d')
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memory['sessions_count'] = memory.get('sessions_count', 0) + 1
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# Update quick context
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memory['quick_context'] = f"Last worked on: {project_name}"
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# Update next_up
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memory['next_up'] = next_steps
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# Update project notes
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if project_name not in memory['project_notes']:
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memory['project_notes'][project_name] = {
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'status': 'in_progress',
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'started': datetime.now().strftime('%Y-%m-%d'),
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'goal': '',
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'key_decisions': []
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}
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memory['project_notes'][project_name]['last_updated'] = datetime.now().strftime('%Y-%m-%d')
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save_memory(memory)
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print(f"✅ Memory updated! Session count: {memory['sessions_count']}")
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def add_learning(learning):
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"""Add a key learning"""
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memory = load_memory()
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if 'key_learnings' not in memory:
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memory['key_learnings'] = []
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if learning not in memory['key_learnings']:
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memory['key_learnings'].append(learning)
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save_memory(memory)
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print(f"✅ Added learning: {learning}")
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else:
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print("ℹ️ Learning already exists")
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def show_memory():
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"""Display current memory"""
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memory = load_memory()
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print("\n🧠 CC's Current Memory:")
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print(f"📅 Last session: {memory.get('last_session', 'Unknown')}")
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print(f"📊 Total sessions: {memory.get('sessions_count', 0)}")
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print(f"🚀 Active projects: {', '.join(memory.get('active_projects', []))}")
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print(f"💭 Context: {memory.get('quick_context', 'None')}")
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print(f"\n📝 Next up:")
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for item in memory.get('next_up', []):
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print(f" - {item}")
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if __name__ == "__main__":
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import sys
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if len(sys.argv) < 2:
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show_memory()
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elif sys.argv[1] == "show":
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show_memory()
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elif sys.argv[1] == "learn" and len(sys.argv) > 2:
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add_learning(sys.argv[2])
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else:
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print("Usage:")
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print(" python update_memory.py - Show current memory")
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print(" python update_memory.py show - Show current memory")
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print(" python update_memory.py learn 'new learning' - Add learning")
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