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Skills openclaw-memory

OpenClaw Memory System

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/atlaspa/openclaw-memory" ~/.claude/skills/clawdbot-skills-openclaw-memory && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/atlaspa/openclaw-memory" ~/.openclaw/skills/clawdbot-skills-openclaw-memory && rm -rf "$T"
manifest: skills/atlaspa/openclaw-memory/SKILL.md
source content

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
  • 🔍 Semantic Search - Find memories by meaning, not just keywords
  • 🤖 Automatic Learning - Extracts facts and preferences automatically
  • 💾 Local Storage - SQLite database with vector embeddings
  • 💰 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

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