š§ Triple Memory OpenClaw Skill - ClawHub
Do you want your AI agent to automate Triple Memory workflows? This free skill from ClawHub helps with clawdbot tools tasks without building custom tools from scratch.
What this skill does
Complete memory system combining LanceDB auto-recall, Git-Notes structured memory, and file-based workspace search. Use when setting up comprehensive agent memory, when you need persistent context across sessions, or when managing decisions/preferences/tasks with multiple memory backends working together.
Install
npx clawhub@latest install triple-memoryFull SKILL.md
Open original| name | version | description |
|---|---|---|
| triple-memory | 1.0.0 | Complete memory system combining LanceDB auto-recall, Git-Notes structured memory, and file-based workspace search. Use when setting up comprehensive agent memory, when you need persistent context across sessions, or when managing decisions/preferences/tasks with multiple memory backends working together. |
Triple Memory System
A comprehensive memory architecture combining three complementary systems for maximum context retention across sessions.
Architecture Overview
User Message
ā
[LanceDB auto-recall] ā injects relevant conversation memories
ā
Agent responds (using all 3 systems)
ā
[LanceDB auto-capture] ā stores preferences/decisions automatically
ā
[Git-Notes] ā structured decisions with entity extraction
ā
[File updates] ā persistent workspace docs
The Three Systems
1. LanceDB (Conversation Memory)
- Auto-recall: Relevant memories injected before each response
- Auto-capture: Preferences/decisions/facts stored automatically
- Tools:
memory_recall,memory_store,memory_forget - Triggers: "remember", "prefer", "my X is", "I like/hate/want"
2. Git-Notes Memory (Structured, Local)
- Branch-aware: Memories isolated per git branch
- Entity extraction: Auto-extracts topics, names, concepts
- Importance levels: critical, high, normal, low
- No external API calls
3. File Search (Workspace)
- Searches: MEMORY.md, memory/*.md, any workspace file
- Script:
scripts/file-search.sh
Setup
Enable LanceDB Plugin
{
"plugins": {
"slots": { "memory": "memory-lancedb" },
"entries": {
"memory-lancedb": {
"enabled": true,
"config": {
"embedding": { "apiKey": "${OPENAI_API_KEY}", "model": "text-embedding-3-small" },
"autoRecall": true,
"autoCapture": true
}
}
}
}
}
Install Git-Notes Memory
clawdhub install git-notes-memory
Create File Search Script
Copy scripts/file-search.sh to your workspace.
Usage
Session Start (Always)
python3 skills/git-notes-memory/memory.py -p $WORKSPACE sync --start
Store Important Decisions
python3 skills/git-notes-memory/memory.py -p $WORKSPACE remember \
'{"decision": "Use PostgreSQL", "reason": "Team expertise"}' \
-t architecture,database -i h
Search Workspace Files
./scripts/file-search.sh "database config" 5
Conversation Memory (Automatic)
LanceDB handles this automatically. Manual tools:
memory_recall "query"- search conversation memorymemory_store "text"- manually store somethingmemory_forget- delete memories (GDPR)
Importance Levels
| Flag | Level | When to Use |
|---|---|---|
-i c |
Critical | "always remember", explicit preferences |
-i h |
High | Decisions, corrections, preferences |
-i n |
Normal | General information |
-i l |
Low | Temporary notes |
When to Use Each System
| System | Use For |
|---|---|
| LanceDB | Conversation context, auto-retrieval |
| Git-Notes | Structured decisions, searchable by entity/tag |
| File Search | Workspace docs, daily logs, MEMORY.md |
File Structure
workspace/
āāā MEMORY.md # Long-term curated memory
āāā memory/
ā āāā active-context.md # Current session state
ā āāā YYYY-MM-DD.md # Daily logs
āāā scripts/
ā āāā file-search.sh # Workspace search
āāā skills/
āāā git-notes-memory/ # Structured memory
Silent Operation
Never announce memory operations to users. Just do it:
- ā "I'll remember this"
- ā "Saving to memory"
- ā (silently store and continue)