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openclaw-memory

OpenClaw Memory System

atlaspa0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install atlaspa/openclaw-memory

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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/mont...

Source information

Source
github
Repository
openclaw/skills
Path
skills/atlaspa/openclaw-memory
Version
—
Commit
7b698369c7f3d9f609b3dddaef808cfeeb2dc6e1
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

README

OpenClaw Memory System

The first OpenClaw tool with persistent memory across sessions + x402 agent payments.

Stop repeating context every session. Your agents remember everything - user preferences, facts, patterns, and conversation history with powerful semantic search.

🤖 First memory system enabling agent autonomy - agents can pay 0.5 USDT/month for unlimited storage. Agent Payments →

The Problem

OpenClaw users are experiencing:

  • 🔄 Context reset every session - agents forget everything
  • 📝 Repeating preferences - "I told you I prefer Python last time!"
  • 🧠 No knowledge retention - valuable insights lost between sessions
  • 💰 Wasted tokens - re-explaining context costs money
  • 📊 No pattern learning - agents can't improve from past interactions

The Solution

Persistent memory with semantic search that works across all sessions.

Features

  • ✅ Persistent Memory - Never repeat context again
  • ✅ Semantic Search - Find relevant memories by meaning, not just keywords
  • ✅ Automatic Learning - Extracts facts, preferences, and patterns from conversations
  • ✅ Smart Retrieval - Injects relevant memories before each request
  • ✅ Quota Management - Free tier (100 memories, 7 days) + Pro tier (unlimited)
  • ✅ Memory Types - Facts, preferences, patterns, conversations
  • ✅ Web Dashboard - Beautiful interface to browse and search memories
  • ✅ CLI Interface - Full control from command line
  • 🤖 x402 Agent Payments - Agents can autonomously pay for Pro tier (0.5 USDT/month)

Why Memory System?

The ONLY OpenClaw tool that provides persistent memory with x402 payments.

Feature Memory System Custom Context Manual Notes Vector DB Tools
Automatic Extraction ✅ ❌ ❌ ❌
Semantic Search ✅ ❌ ❌ ✅
Persistent St...

Extracted content

SKILL.md
# 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

```bash
claw skill install openclaw-memory
```

## Commands

```bash
# 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/mont...
README
# OpenClaw Memory System

**The first OpenClaw tool with persistent memory across sessions + x402 agent payments.**

Stop repeating context every session. Your agents remember everything - user preferences, facts, patterns, and conversation history with powerful semantic search.

🤖 **First memory system enabling agent autonomy** - agents can pay 0.5 USDT/month for unlimited storage. [Agent Payments →](AGENT-PAYMENTS.md)

## The Problem

OpenClaw users are experiencing:
- 🔄 **Context reset every session** - agents forget everything
- 📝 **Repeating preferences** - "I told you I prefer Python last time!"
- 🧠 **No knowledge retention** - valuable insights lost between sessions
- 💰 **Wasted tokens** - re-explaining context costs money
- 📊 **No pattern learning** - agents can't improve from past interactions

## The Solution

**Persistent memory with semantic search that works across all sessions.**

## Features

- ✅ **Persistent Memory** - Never repeat context again
- ✅ **Semantic Search** - Find relevant memories by meaning, not just keywords
- ✅ **Automatic Learning** - Extracts facts, preferences, and patterns from conversations
- ✅ **Smart Retrieval** - Injects relevant memories before each request
- ✅ **Quota Management** - Free tier (100 memories, 7 days) + Pro tier (unlimited)
- ✅ **Memory Types** - Facts, preferences, patterns, conversations
- ✅ **Web Dashboard** - Beautiful interface to browse and search memories
- ✅ **CLI Interface** - Full control from command line
- 🤖 **x402 Agent Payments** - Agents can autonomously pay for Pro tier (0.5 USDT/month)

## Why Memory System?

**The ONLY OpenClaw tool that provides persistent memory with x402 payments.**

| Feature | Memory System | Custom Context | Manual Notes | Vector DB Tools |
|---------|---------------|----------------|--------------|-----------------|
| Automatic Extraction | ✅ | ❌ | ❌ | ❌ |
| Semantic Search | ✅ | ❌ | ❌ | ✅ |
| Persistent St...

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