skills.rest
TheophilusChinomona
TheophilusChinomonaCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

openclaw-memory

Implement a four-layer AI agent memory architecture with bootstrap files, daily logs, session transcripts, and retrieval indexes.

2|Updated Mar 7, 2026
Search Tags:#knowledge retrieval#ai memory#data management#multi-agent systems#agent persistence#scribe compression
One-click install
npx skills add https://github.com/TheophilusChinomona/claude-openclaw-plugin --skill openclaw-memory-theophiluschinomona
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openclaw-memory
Source: https://github.com/TheophilusChinomona/claude-openclaw-plugin/tree/main/plugins/openclaw/skills/openclaw-memory
Command: npx skills add https://github.com/TheophilusChinomona/claude-openclaw-plugin --skill openclaw-memory-theophiluschinomona

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the critical challenge of managing and preserving information within AI agent systems, preventing data loss and ensuring consistent knowledge recall.

Core Features & Use Cases

  • Memory Architecture: Understands and implements a four-layer memory model (Bootstrap, Daily Logs, Session Transcript, Retrieval Index).
  • Data Persistence: Guides users on setting up persistent storage for agent knowledge, including MEMORY.md and daily logs.
  • Failure Mode Mitigation: Provides strategies to prevent data loss due to agents not storing information, compaction errors, or pruning.
  • Shared Memory: Details patterns for enabling cross-agent knowledge sharing through team-memory/ directories and SHARED_KNOWLEDGE.json.
  • Use Case: An AI agent needs to remember customer preferences and past interactions across multiple sessions. This Skill helps configure the agent's memory layers to store this information reliably, even when dealing with large amounts of data or system updates.

Quick Start

Use the openclaw-memory skill to set up memory for a new agent, including bootstrap files and daily logs.

Frequently Asked Questions about openclaw-memory

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

FAQPage Schema
How do I prevent AI agent memory loss during context compaction or pruning?▼

Prevent AI agent memory loss during compaction by implementing a four-layer architecture with bootstrap files, daily logs, session transcripts, and retrieval indexes to maintain persistent knowledge storage.

What is the best way to set up shared memory across multiple AI agents?▼

Set up shared memory across multiple AI agents by configuring team-memory directories and SHARED_KNOWLEDGE.json files, enabling reliable cross-agent knowledge sharing and consistent recall across different sessions.

How does SCRIBE compression work for AI agent data persistence?▼

SCRIBE compression for AI agent data persistence works by optimizing stored knowledge in file-based memory layers, reducing the storage footprint while maintaining reliable retrieval for multi-agent systems.

Do I need access control configuration to manage team-memory directories?▼

Yes, you need access control configuration to manage team-memory directories, ensuring proper permissions for shared knowledge stores and preventing unauthorized modifications to system-wide agent memory.

Why does my AI agent forget customer preferences across multiple sessions?▼

Your AI agent forgets customer preferences across sessions because it lacks proper memory architecture, requiring daily logs and retrieval indexes to reliably store and recall past interaction data.

Related Skills

Explore More Software Engineering Skills→
espennilsenespennilsen
114

pi-memory

Manage persistent memory across AI sessions with file-based storage.

Community
Intermediate
activeloopaiactiveloopai
1.5k

hivemind-memory

Coordinate built-in and Hivemind memory for unified recall across sessions.

Official
Intermediate
arbazkhan971arbazkhan971
26

agent

Design and validate autonomous AI agents with tool orchestration and guardrails.

Community
Advanced
cyrock-aicyrock-ai

housekeeping-and-deletion

Guide object deletion and trigger garbage collection and file compaction.

Official
Intermediate