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openclaw-memory

OpenClaw Memory System

atlaspa0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install atlaspa/openclaw-memory

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/atlaspa/openclaw-memory
Version
—
Commit
7b698369c7f3d9f609b3dddaef808cfeeb2dc6e1
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

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...

来源内容

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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