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็ๆง OpenClaw GitHub ็ๆฌๆดๆฐ๏ผ่ทๅๆๆฐ็ๆฌๅๅธ่ฏดๆ๏ผ็ฟป่ฏๆไธญๆ๏ผ ๅนถๆจ้ๅฐ Telegram ๅ Feishuใ็จไบ๏ผ(1) ๅฎๆถๆฃๆฅ็ๆฌๆดๆฐ (2) ๆจ้็ๆฌๆดๆฐ้็ฅ (3) ็ๆไธญๆ็ๅๅธ่ฏดๆ
The philosophical layer for AI agents. Maps behavior to Spinoza's 48 affects, calculates persistence scores, and generates geometric self-reports. Give your agent a soul.
Order food/drinks (็น้ค) on an Android device paired as an OpenClaw node. Uses in-app menu and cart; add goods, view cart, submit order (demo, no real payment).
Based on SOC occupation classification
| name | qmd-memory |
| description | QMD Memory |
Author: As Above Technologies Version: 1.0.0 ClawHub: [Coming Soon]
| Operation | API Cost | Frequency | Monthly Cost |
|---|---|---|---|
| memory_search (embedding) | $0.02-0.05 | 50-200/day | $30-300 |
| Context retrieval | $0.01-0.03 | 100+/day | $30-90 |
| Semantic queries | $0.03-0.08 | 20-50/day | $18-120 |
| TOTAL | $78-510/month |
| Operation | Cost | Why |
|---|---|---|
| All searches | $0 | Runs on your machine |
| Embeddings | $0 | Local GGUF models |
| Re-ranking | $0 | Local LLM |
Your savings: $50-300+/month
One-time setup. Forever free searches.
# 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.
Based on your workspace structure, we create optimized collections:
โ workspace โ Core agent files (MEMORY.md, SOUL.md, etc.)
โ daily-logs โ memory/*.md daily logs
โ intelligence โ intelligence/*.md (if exists)
โ projects โ projects/**/*.md (if exists)
โ documents โ Any additional doc folders you specify
We add context to each collection so QMD understands what's where:
qmd://workspace โ "Agent identity and configuration files"
qmd://daily-logs โ "Daily work logs and session history"
qmd://intelligence โ "Analysis, research, and reference documents"
# Auto-update index (nightly at 3am)
0 3 * * * qmd update && qmd embed
# Keep your memory fresh without thinking about it
Memory search now uses QMD automatically:
memory_search โ routes to QMD hybrid searchmemory_get โ retrieves from QMD collections# Start shared memory server
openclaw skill run qmd-memory serve
# All your agents can now query collective memory
# Forge, Thoth, Axis โ shared knowledge base
| Mode | Command | Best For |
|---|---|---|
| Keyword | qmd search "query" | Exact matches, fast |
| Semantic | qmd vsearch "query" | Conceptual similarity |
| Hybrid | qmd query "query" | Best quality (recommended) |
# Find exact mentions
qmd search "Charlene" -n 5
# Find conceptually related content
qmd vsearch "how should we handle customer complaints"
# Best quality โ expansion + reranking
qmd query "what decisions did we make about pricing strategy"
# Search specific collection
qmd search "API keys" -c workspace
openclaw skill run qmd-memory add-collection ~/Documents/research --name research
openclaw skill run qmd-memory add-context qmd://research "Market research and competitive analysis"
openclaw skill run qmd-memory refresh
openclaw skill run qmd-memory template trading
Creates:
intelligence โ Trading systems, dashboards, signalsmarket-data โ Price history, analysisresearch โ Due diligence, reportsdaily-logs โ Trade journalopenclaw skill run qmd-memory template content
Creates:
articles โ Published contentdrafts โ Work in progressresearch โ Source materialideas โ Brainstorms, notesopenclaw skill run qmd-memory template developer
Creates:
docs โ Documentationnotes โ Technical notesdecisions โ ADRs, architecture decisionssnippets โ Code snippets, examplesRun 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)
| Model | Purpose | Size |
|---|---|---|
| embeddinggemma-300M-Q8_0 | Vector embeddings | ~300MB |
| qwen3-reranker-0.6b-q8_0 | Re-ranking results | ~640MB |
| qmd-query-expansion-1.7B-q4_k_m | Query expansion | ~1.1GB |
Total: ~2GB (one-time download)
~/.cache/qmd/
โโโ index.sqlite # Search index
โโโ models/ # GGUF models
โโโ mcp.pid # MCP server PID (if running)
Questions?
Found it valuable?
MIT โ Use freely, modify as needed.
QMD itself is created by Tobi Lรผtke (github.com/tobi/qmd). This skill provides easy OpenClaw integration.
"Stop paying for memory. Start compounding knowledge."
As Above Technologies โ Agent Infrastructure for Humans