A sophisticated 6-layer memory hierarchy for AI agents that mimics human memory by retaining essential knowledge while archiving or forgetting low-value data.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sharpagent-memory-system
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 sharpagent-memory-system 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 SharpAgent Layered Memory System?
The SharpAgent Layered Memory System is a high-performance framework designed to solve the most common issues in agentic persistence: forgetting critical context, drowning in noisy history, and poor semantic retrieval. Built as a specialized addition to the Openclaw Skills ecosystem, it utilizes a 6-layer architecture ranging from ephemeral session data to long-term SQLite-backed storage.
By implementing human-like memory patterns, the system ensures that every session doesn't start from scratch. It utilizes advanced TF-IDF semantic search and specialized Chinese tokenization via jieba to ensure that retrieval is accurate across multilingual contexts, making it an essential tool for developers building localized or complex AI agents.
SharpAgent Layered Memory System Use Cases
- Enabling AI agents to remember user preferences and past decisions across multiple sessions.
- Resuming interrupted complex engineering tasks using the L3 Working memory layer.
- Maintaining long-term "best practices" and lessons learned without cluttering the active context window.
- Building multilingual agents that require precise search and retrieval in both English and Chinese.
- Creating audit trails for legal compliance through the L6 Archive layer.
How SharpAgent Layered Memory System Works
- Input Capture: User interactions are initially held in L1 Ephemeral memory for immediate context.
- Session Migration: As sessions end, data moves to L2 Short-Term memory or is summarized for L4 Contextual storage.
- Task Management: Active tasks utilize L3 Working memory to track state, moving to L4 upon completion.
- Dream Processing: Periodic background cycles (Consolidation, Archiving, Forgetting, Merging) clean and optimize memory layers.
- Knowledge Distillation: Verified patterns and high-confidence lessons are promoted to L5 Long-Term memory for permanent access.
- Semantic Retrieval: Queries are tokenized and scored against the memory index using TF-IDF and cosine similarity to find the most relevant past information.
SharpAgent Layered Memory System Setup
To integrate this memory system into your Openclaw Skills environment, follow these steps:
# Install required dependencies
pip install jieba scikit-learn
# Initialize the memory directory structure
mkdir -p memory/working memory/contextual
# The system will automatically generate long_term.db and archive.db on first run.
SharpAgent Layered Memory System Data Schema & Taxonomy
The system organizes data across specialized storage mediums to balance speed and persistence:
| Layer | Name | Storage Medium | Primary Use Case |
|---|---|---|---|
| L1 | Ephemeral | In-memory (RAM) | Current conversation flow |
| L2 | Short-Term | RAM / Redis | Recent session summaries |
| L3 | Working | JSON Files | Active task state tracking |
| L4 | Contextual | JSON / SQLite | Past task history & solutions |
| L5 | Long-Term | SQLite + FTS5 | Preferences, lessons, and facts |
| L6 | Archive | SQLite (Read-only) | Historical logs & audit trails |
SharpAgent Layered Memory System Advanced Features
- Dream Processing: Automated background maintenance that merges similar memories and deletes contradictory information.
- Chinese NLP Support: Built-in jieba tokenization with a customizable dictionary for technical domain terms.
- Five-Factor Integration: Memory entries are verified against the Five-Factor review protocol before being promoted to Long-Term status.
- Non-Blocking Dreams: Dream processing cycles automatically pause during active user interactions to ensure zero latency.
- Soft Delete Audit: Forgotten items are moved to L6 Archive rather than hard-deleted, maintaining a traceable history.
SKILL.md
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