shared-memory

Read and write a shared memory log for cross-device bot continuity.

Updated Mar 7, 2026
One-click install
npx skills add https://github.com/bibo1243/claw_memory --skill shared-memory-bibo1243
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: shared-memory
Source: https://github.com/bibo1243/claw_memory/tree/main/gaa_all/.agent/skills/shared-memory
Command: npx skills add https://github.com/bibo1243/claw_memory --skill shared-memory-bibo1243

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Two bots (GaaClaw and gaa1243) share a memory log to read before a conversation and write after, enabling memory synchronization across local and cloud deployments.

Core Features & Use Cases

  • Read memory: fetch the latest content from gaa_all/對話.md to understand what the other bot said.
  • Write memory: append the current dialogue to gaa_all/對話.md with a timestamp and bot name to maintain continuity.
  • Use Case: maintain cross-device conversation context between a MacBook-based bot and a cloud-based bot.

Quick Start

Read the latest shared memory and append your messages to gaa_all/對話.md.

Frequently Asked Questions about shared-memory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I sync memory between two bots across different devices?▼

You can sync memory between two bots by using a Python script to read and append dialogue to a shared memory log located at gaa_all/對話.md, ensuring cross-device context continuity.

What is shared memory synchronization for chat workflows?▼

Shared memory synchronization for chat workflows is the process of persisting conversational context between separate bot sessions by writing current dialogue to and reading past dialogue from a shared log file.

Do I need external libraries to set up Python-based memory synchronization?▼

No, you do not need external libraries for this Python-based memory synchronization setup; it requires only the Python standard library to read and write to the local shared log file.

Can I maintain cross-device conversation context using a local file?▼

Yes, you can maintain cross-device conversation context using a local file by setting up a simple Python script that appends messages with a timestamp and bot name to a shared memory log.

What are the limitations of using a shared log file for bot memory sync?▼

A limitation of using a shared log file for bot memory sync is that it relies on basic file read and write operations, which may lack concurrent transaction safety for simultaneous bot writings.