Memory Manager

Long-term memory management system for OpenClaw agents. Automatically archives conversations, organizes memories, and provides semantic search capabilities.

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

bash

clawhub install memory-manager

Usage

Automatic Mode

The skill automatically saves conversations during agent operation.

Manual Memory Search

python

from memory_manager import MemoryManager

mm = MemoryManager()
results = mm.search_memory("project discussions about KPI")

Daily Log Structure

text

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!