dvcrn Memory Manager
A robust long-term memory management system for OpenClaw agents that automatically archives conversations and enables intelligent memory retrieval.
Features
- 📝 Automatic Conversation Logging: Saves dialogues to daily memory files
- 🔍 Semantic Search: Retrieve relevant memories using natural language queries
- 📅 Time-based Organization: Memories organized by date (YYYY-MM-DD.md)
- 🗂️ Long-term Storage: Curated memories in MEMORY.md
- 🔗 Integration Ready: Works with existing agent workflows
Installation
clawhub install memory-manager
Usage
Automatic Mode
The skill automatically saves conversations during agent operation.
Manual Memory Search
from memory_manager import MemoryManager
mm = MemoryManager()
results = mm.search_memory("project discussions about KPI")
Daily Log Structure
memory/
├── 2026-03-07.md
├── 2026-03-06.md
└── ...
Configuration
| Setting | Default | Description |
|---|---|---|
| memory_dir | ./memory/ | Daily memory files location |
| memory_file | ./MEMORY.md | Long-term memory file |
| auto_save | true | Auto-save conversations |
Requirements
- Python 3.8+
- OpenClaw workspace structure
License
MIT License - Contribute back to the community!