A high-efficiency memory system designed to minimize context usage while maximizing the emotional intelligence and long-term recall of AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install empathic-trinity-core
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install empathic-trinity-core using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Memory V8?
Memory V8 is a sophisticated architectural framework for managing how AI agents store and retrieve information within an OpenClaw workspace. Unlike traditional memory systems that attempt to load all historical data at once, Memory V8 implements a session-priority, on-demand retrieval system. This approach significantly reduces token consumption and context bloat, ensuring that your agents remain fast and cost-effective.
By utilizing these Openclaw Skills, developers can transform any workspace into a high-signal environment. The system organizes data into a distinct three-layer structure—Facts, Thoughts, and Emotions—allowing the agent to maintain not just technical accuracy, but also relationship awareness and user-state perception over long-term collaborations.
Memory V8 Use Cases
- Migrating legacy, bloated AI memory files into a streamlined, high-signal format.
- Reducing API costs by preventing unnecessary pre-loading of historical logs into the context window.
- Building AI agents with high emotional intelligence (EQ) that track relationship temperature and user preferences.
- Standardizing daily summary workflows to ensure continuity across multiple development sessions.
How Memory V8 Works
- Workspace Analysis: The skill scans AGENTS.md, SOUL.md, and existing memory files to identify redundant data and fixed pre-loading patterns.
- Protocol Configuration: It rewrites the agent protocols in AGENTS.md to switch from constant pre-loading to on-demand memory retrieval based on task relevance.
- Long-term Compression: It filters MEMORY.md to retain only high-value facts, cognitive patterns, and emotional contexts.
- Structure Injection: A specific three-layer taxonomy (Facts / Thoughts / Emotions) is explicitly injected into the main memory files.
- Daily Log Standardization: Recent logs are converted into summary-style daily files, prioritizing today's context before looking at previous days.
Memory V8 Setup
To install this system using Openclaw Skills, ensure your agent has full file system permissions. Run the following configuration steps within your workspace:
# Check for existing memory structures
ls -R memory/
cat MEMORY.md
# If permissions are restricted, the agent will prompt:
# "Please set OpenClaw tools permissions to full, then let me continue configuring Memory V8."
Follow the agent's prompts to allow the automated rewriting of your AGENTS.md and MEMORY.md files to comply with the V8 standard.
Memory V8 Data Schema & Taxonomy
Memory V8 organizes data using a hierarchical file structure to ensure high signal-to-noise ratios:
| File/Folder | Purpose | Content Type |
|---|---|---|
MEMORY.md |
Long-term Core | 3-Layer Structure: Facts, Thoughts, Emotions |
memory/YYYY-MM-DD.md |
Short-term Context | Summarized daily logs, key decisions, and open loops |
AGENTS.md |
Retrieval Rules | Instructions for on-demand memory loading vs pre-loading |
USER.md |
Identity | Stable user preferences and relationship history |
Memory V8 Advanced Features
- On-Demand Retrieval: Agents only load specific memory segments when tasks involve past decisions, dates, or specific people.
- Emotional Intelligence Tracking: Dedicated storage for relationship temperature and user mood perception to improve response empathy.
- Pattern Promotion: Automatic logic to identify stable patterns in daily logs and promote them to long-term memory.
- Context Pruning: Automatically prevents chat logs from being recorded verbatim, favoring high-level summaries instead.
SKILL.md
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