Token导航 LogoToken导航TokenDH.com
研究检索external-serviceclawhub未标认证来源可访问clear审计提醒

qmd-memory-1-0-0qmd 内存 1 0 0

Agent Skill

qmd-memory-1-0-0 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

12,925

周安装

528

GitHub Stars

公开资料未说明

下载量

4,140
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:qmd-memory-1-0-0(qmd 内存 1 0 0)
来源仓库:https://github.com/sieyer/qmd-memory-1-0-0
安装命令:
openclaw skills install qmd-memory-1-0-0
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install qmd-memory-1-0-0

简介

使用具有优化集合、自动索引和多代理共享的 QMD 实现本地混合内存搜索,从而将 API 成本降低 50-300 美元/月。

SKILL.md

QMD Memory Skill for OpenClaw

Local Hybrid Search — Save $50-300/month in API Costs

Author: As Above Technologies Version: 1.0.0 ClawHub: [Coming Soon]


💰 THE VALUE PROPOSITION

API Costs You're Paying Now

OperationAPI CostFrequencyMonthly Cost
memory_search (embedding)$0.02-0.0550-200/day$30-300
Context retrieval$0.01-0.03100+/day$30-90
Semantic queries$0.03-0.0820-50/day$18-120
TOTAL$78-510/month

With QMD Local

OperationCostWhy
All searches$0Runs on your machine
Embeddings$0Local GGUF models
Re-ranking$0Local LLM

Your savings: $50-300+/month

One-time setup. Forever free searches.


🚀 QUICK START

# Install the skill
clawhub install asabove/qmd-memory

# Run setup (installs QMD, configures collections)
openclaw skill run qmd-memory setup

# That's it. Your memory is now supercharged.

WHAT YOU GET

1. Automatic Collection Setup

Based on your workspace structure, we create optimized collections:

✓ workspace     — Core agent files (MEMORY.md, SOUL.md, etc.)
✓ daily-logs    — memory/*.md daily logs
✓ intelligence  — intelligence/*.md (if exists)
✓ projects      — projects/**/*.md (if exists)
✓ documents     — Any additional doc folders you specify

2. Smart Context Descriptions

We add context to each collection so QMD understands what's where:

qmd://workspace    → "Agent identity and configuration files"
qmd://daily-logs   → "Daily work logs and session history"
qmd://intelligence → "Analysis, research, and reference documents"

3. Pre-configured Cron Jobs

# Auto-update index (nightly at 3am)
0 3 * * * qmd update && qmd embed

# Keep your memory fresh without thinking about it

4. OpenClaw Integration

Memory search now uses QMD automatically:

  • memory_search → routes to QMD hybrid search
  • memory_get → retrieves from QMD collections
  • Results include collection context

5. Multi-Agent MCP Server (Optional)

# Start shared memory server
openclaw skill run qmd-memory serve

# All your agents can now query collective memory
# Forge, Thoth, Axis — shared knowledge base

📊 SEARCH MODES

ModeCommandBest For
Keywordqmd search "query"Exact matches, fast
Semanticqmd vsearch "query"Conceptual similarity
Hybridqmd query "query"Best quality (recommended)

Example Queries

# Find exact mentions
qmd search "Charlene" -n 5

# Find conceptually related content
qmd vsearch "how should we handle customer complaints"

# Best quality — expansion + reranking
qmd query "what decisions did we make about pricing strategy"

# Search specific collection
qmd search "API keys" -c workspace

🔧 CONFIGURATION

Add Custom Collections

openclaw skill run qmd-memory add-collection ~/Documents/research --name research

Add Context

openclaw skill run qmd-memory add-context qmd://research "Market research and competitive analysis"

Refresh Index

openclaw skill run qmd-memory refresh

💡 TEMPLATES

Trading/Investing Workspace

openclaw skill run qmd-memory template trading

Creates:

  • intelligence — Trading systems, dashboards, signals
  • market-data — Price history, analysis
  • research — Due diligence, reports
  • daily-logs — Trade journal

Content Creator Workspace

openclaw skill run qmd-memory template content

Creates:

  • articles — Published content
  • drafts — Work in progress
  • research — Source material
  • ideas — Brainstorms, notes

Developer Workspace

openclaw skill run qmd-memory template developer

Creates:

  • docs — Documentation
  • notes — Technical notes
  • decisions — ADRs, architecture decisions
  • snippets — Code snippets, examples

📈 COST SAVINGS CALCULATOR

Run this to see your estimated savings:

openclaw skill run qmd-memory calculate-savings

Output:

Your Current API Memory Costs (estimated):
  memory_search calls/day:     ~75
  Average cost per call:       $0.03
  Monthly API cost:            $67.50

With QMD Local:
  Monthly cost:                $0.00

YOUR MONTHLY SAVINGS:          $67.50
YOUR ANNUAL SAVINGS:           $810.00

ROI on skill purchase:         40x (if skill was $20)

🛠️ TECHNICAL DETAILS

Models Used (Auto-Downloaded)

ModelPurposeSize
embeddinggemma-300M-Q8_0Vector embeddings~300MB
qwen3-reranker-0.6b-q8_0Re-ranking results~640MB
qmd-query-expansion-1.7B-q4_k_mQuery expansion~1.1GB

Total: ~2GB (one-time download)

System Requirements

  • Node.js >= 22
  • ~3GB disk space (models + index)
  • ~2GB RAM during embedding (then minimal)

Where Data is Stored

~/.cache/qmd/
├── index.sqlite      # Search index
├── models/           # GGUF models
└── mcp.pid           # MCP server PID (if running)

🤝 SUPPORT

Questions?

  • GitHub Issues: github.com/asabove/qmd-memory-skill
  • Discord: As Above community
  • Email: support@asabove.tech

Found it valuable?

  • Star us on ClawHub
  • Share with other OpenClaw users
  • Subscribe to our newsletter for more agent optimization tips

📜 LICENSE

MIT — Use freely, modify as needed.

QMD itself is created by Tobi Lütke (github.com/tobi/qmd). This skill provides easy OpenClaw integration.


*"Stop paying for memory. Start compounding knowledge."*

As Above Technologies — Agent Infrastructure for Humans

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

71.6%
按下载量换算2,964

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills