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Openclaw Memory

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

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

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
AGENT-PAYMENTS.md, hooks/request-after.js, hooks/request-before.js, hooks/session-end.js, IMPLEMENTATION-SUMMARY.md, IMPLEMENTATION_SUMMARY.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 14 sections Open source page

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

๐Ÿง  Persistent Memory - Remembers everything across sessions ๐Ÿ” Semantic Search - Find memories by meaning, not just keywords ๐Ÿค– Automatic Learning - Extracts facts and preferences automatically ๐Ÿ’พ Local Storage - SQLite database with vector embeddings ๐Ÿ’ฐ 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

Hooks into requests - Automatically extracts important information Generates embeddings - Creates semantic vectors for search Stores locally - SQLite database with full privacy Retrieves on demand - Injects relevant memories before requests 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

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
3 Docs3 Scripts
  • AGENT-PAYMENTS.md Docs
  • IMPLEMENTATION_SUMMARY.md Docs
  • IMPLEMENTATION-SUMMARY.md Docs
  • hooks/request-after.js Scripts
  • hooks/request-before.js Scripts
  • hooks/session-end.js Scripts