A sophisticated hierarchical memory system that provides AI assistants with long-term persistence, structured learning logs, and seamless knowledge base synchronization.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install yaoyaoya-memory
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 yaoyaoya-memory 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 yaoyaoya-memory?
yaoyaoya-memory is a universal memory framework designed to give AI assistants a persistent, multi-layered brain. Unlike standard memory solutions that rely on a single flat file, this system utilizes a sophisticated hierarchy involving a long-term MEMORY.md file, daily journals for raw activity, and dedicated learning logs for capturing technical lessons and debugging experiences. By integrating this into your Openclaw Skills environment, you allow your AI agent to retain context across sessions, making it a more effective partner for complex development tasks.
The skill stands out by incorporating a reliability rating system (1-5 stars) and a robust tagging architecture, ensuring that the AI can distinguish between verified facts, user preferences, and speculative deductions. Whether you are building software or managing research, yaoyaoya-memory transforms ephemeral chat sessions into a structured knowledge graph that grows alongside your projects.
yaoyaoya-memory Use Cases
- Recalling specific technical decisions made weeks ago during a project's architecture phase.
- Automatically documenting and retrieving lessons learned from past coding errors to prevent regressions.
- Synchronizing local AI insights with external knowledge bases like IMA, Notion, or Obsidian for a unified workflow.
- Summarizing daily developer activity into high-level project milestones and long-term memory updates.
- Tracking user-specific preferences and habits across different Openclaw Skills sessions to personalize the AI experience.
How yaoyaoya-memory Works
- The AI agent identifies triggers in user speech such as "remember this" or "search my past memory" to initiate Openclaw Skills memory protocols.
- When saving data, the system automatically classifies information into tiers: MEMORY.md for long-term facts, daily markdown files for raw logs, or .learnings/ for technical insights.
- A built-in semantic search script (memory_search) parses the directory structure to find relevant context based on intent, metadata, and tags.
- For verification, the system assigns reliability scores to memories, distinguishing between actual test results and user-provided assumptions.
- The memory organization workflow periodically reads recent logs to extract patterns, updating the core MEMORY.md and pruning obsolete data.
- Integrated sync scripts push and pull data from the IMA platform, keeping your global knowledge base updated with the latest AI-generated insights.
yaoyaoya-memory Setup
To begin using this system, install it via the clawhub CLI:
npx clawhub install yaoyaoya-memory
After installation, configure your memory directories and optional IMA integration by creating a config.json file in the skill directory to map your long-term files and API credentials for Openclaw Skills operations.
yaoyaoya-memory Data Schema & Taxonomy
The skill organizes its data using a clear, file-based taxonomy designed for both human and AI readability:
| Path | Purpose | Type |
|---|---|---|
MEMORY.md |
Distilled, long-term insights and core project facts. | Markdown |
memory/*.md |
Daily raw activity logs (format: YYYY-MM-DD.md). | Markdown |
.learnings/ |
Directory for technical lessons, errors, and feature requests. | Folder |
knowledge/ |
Project-specific documentation and deep-dive notes. | Folder |
scripts/ |
Python scripts for advanced semantic search and IMA sync. | Logic |
All entries are categorized using a tag system including #project, #lesson, #decision, and #todo to facilitate rapid Openclaw Skills retrieval.
yaoyaoya-memory Advanced Features
- Multi-tiered memory architecture separating raw history from distilled long-term knowledge.
- Native IMA knowledge base integration for bi-directional sync of AI memories and personal notes.
- Reliability tagging system using a 5-star scale to help AI agents evaluate the confidence of stored data.
- Semantic and tag-based search capabilities for granular retrieval of specific project context.
- Automated memory maintenance cycles that summarize and clean up daily logs into high-value insights within the Openclaw Skills ecosystem.
SKILL.md
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