Tencent SkillHub · Productivity

Triple Memory

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.

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
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: SKILL.md, references/SETUP.md, scripts/file-search.sh

Validation

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Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: ktpriyatham
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 16 sections Open source page

Triple Memory System

A comprehensive memory architecture combining three complementary systems for maximum context retention across sessions.

Architecture Overview

User Message ↓ [LanceDB auto-recall] → injects relevant conversation memories ↓ Agent responds (using all 3 systems) ↓ [LanceDB auto-capture] → stores preferences/decisions automatically ↓ [Git-Notes] → structured decisions with entity extraction ↓ [File updates] → persistent workspace docs

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

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.

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 memory memory_store "text" - manually store something memory_forget - delete memories (GDPR)

Importance Levels

FlagLevelWhen to Use-i cCritical"always remember", explicit preferences-i hHighDecisions, corrections, preferences-i nNormalGeneral information-i lLowTemporary notes

When to Use Each System

SystemUse ForLanceDBConversation context, auto-retrievalGit-NotesStructured decisions, searchable by entity/tagFile SearchWorkspace docs, daily logs, MEMORY.md

File Structure

workspace/ ├── MEMORY.md # Long-term curated memory ├── memory/ │ ├── active-context.md # Current session state │ └── YYYY-MM-DD.md # Daily logs ├── scripts/ │ └── file-search.sh # Workspace search └── skills/ └── git-notes-memory/ # Structured memory

Silent Operation

Never announce memory operations to users. Just do it: ❌ "I'll remember this" ❌ "Saving to memory" ✅ (silently store and continue)

Category context

Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

2 Docs1 Scripts

SKILL.md Primary doc
references/SETUP.md Docs
scripts/file-search.sh Scripts