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BytesAgain β€Ί Skills β€Ί Openclaw Memory
πŸ¦€ ClawHub

Openclaw Memory

by @atlaspa

Persistent, locally stored semantic memory for agents with automatic learning, searchable facts, and optional paid unlimited retention across all sessions.

Versionv1.0.0
Downloads5,396
Installs26
Stars⭐ 1
#finance#legal#education#automation
TERMINAL
clawhub install openclaw-memory

πŸ“– About This Skill

name: openclaw-memory user-invocable: true metadata: {"openclaw":{"emoji":"🧠","requires":{"bins":["node"]},"os":["darwin","linux","win32"]}}

OpenClaw Memory System

Persistent memory across sessions with semantic search and x402 payments.

What is it?

The first OpenClaw skill that gives your agents persistent memory - they remember facts, preferences, patterns, and conversation history across all sessions. Never repeat context again.

Key Features

  • 🧠 Persistent Memory - Remembers everything across sessions
  • πŸ” Semantic Search - Find memories by meaning, not just keywords
  • πŸ€– Automatic Learning - Extracts facts and preferences automatically
  • πŸ’Ύ Local Storage - SQLite database with vector embeddings
  • πŸ’° x402 Payments - Agents can pay for unlimited storage (0.5 USDT/month)

    • Free vs Pro Tier

    Free Tier:

  • 100 memories maximum
  • 7-day retention
  • Basic semantic search

    • Pro Tier (0.5 USDT/month):

  • Unlimited memories
  • Permanent retention
  • Advanced semantic search
  • Memory relationship mapping

    • Installation

    claw skill install openclaw-memory

    Commands

    # Search memories
claw memory search "What does user prefer?"
    List recent memories
    
claw memory list --limit=10
    Show stats
    
claw memory stats
    Open dashboard
    
claw memory dashboard
    Subscribe to Pro
    
claw memory subscribe

    How It Works

    1. Hooks into requests - Automatically extracts important information 2. Generates embeddings - Creates semantic vectors for search 3. Stores locally - SQLite database with full privacy 4. Retrieves on demand - Injects relevant memories before requests 5. Manages quota - Prunes old memories when limits reached (Free tier)

    Use Cases

  • Remember user preferences and coding style
  • Store project context and requirements
  • Learn patterns from repeated interactions
  • Maintain conversation history across sessions
  • Build knowledge base over time

    • Agent Economy

    Agents can autonomously evaluate if Pro tier is worth it:

  • Cost: 0.5 USDT/month
  • Value: Saves tokens by eliminating context repetition
  • ROI: If persistent memory saves >0.5 USDT/month in tokens, it pays for itself

    • See AGENT-PAYMENTS.md for x402 integration details.

    Privacy

  • All data stored locally in ~/.openclaw/openclaw-memory/
  • No external servers or telemetry
  • Embeddings can use local models (no API calls)
  • Open source - audit the code yourself

    • Dashboard

    Access web UI at http://localhost:9091:

  • Browse and search memories
  • View memory timeline
  • Check quota and stats
  • Manage Pro subscription

    • Foundation for Future Tools

    Memory System is the foundation for:

  • Context Optimizer - Uses memories to compress context
  • Smart Router - Learns routing patterns
  • Rate Limit Manager - Tracks usage patterns

    • Requirements

  • Node.js 18+
  • OpenClaw v2026.1.30+
  • OS: Windows, macOS, Linux

    • Links

  • Documentation
  • Agent Payments Guide
  • GitHub Repository
  • ClawHub Page

    • Built by the OpenClaw community | First memory system with x402 payments

    ⚑ When to Use

    TriggerAction
    - Store project context and requirements
    - Learn patterns from repeated interactions
    - Maintain conversation history across sessions
    - Build knowledge base over time