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OpenClaw

enhanced-memory

An enhanced memory system for OpenClaw agents that replaces the default single-file MEMORY.md with a complete memory architecture: hierarchical directory organization by category, [category:value] tag indexing with multi-tag AND search, automatic lifecycle management (active → archive, never delete), and intelligent cross-category retrieval that auto-routes queries to the right memory module. Gives your agent structured, searchable, long-lived memory out of the box.

fatcatmaofei0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install fatcatmaofei/openclaw-enhanced-memory

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

Enhanced Memory

A structured memory system that gives your OpenClaw agent organized, searchable, long-lived memory instead of a single monolithic MEMORY.md.

Why?

The default MEMORY.md approach hits a wall fast:

  • One file grows endlessly → slow to read, expensive on tokens
  • No categorization → food logs mixed with project notes mixed with relationship context
  • No retrieval strategy → agent re-reads everything or misses what matters
  • No lifecycle → old entries clutter active memory forever

Tagged Memory fixes all of this.

Core Features

1. Hierarchical Directory Organization

Memories are stored in purpose-built directories:

memory/
├── current/          # Active memories (last 6 months)
├── archived/         # Auto-archived older memories (permanent, never deleted)
│   └── YYYY-MM/      # Organized by month
├── RELATION/         # One file per person (relationship context)
├── food/             # Meal and food logs
├── training/         # Exercise and workout records
├── connections.md    # Global relationship graph
├── system/           # System config and logs
└── misc/             # Everything else
2. Tag-Based Indexing

Tag any line in any memory file with [category:value] markers:

## 2026-02-20

- Had lunch with Zhang Hao [人物:张浩东] [类型:聚餐] [地点:campus]
- Discussed the new project deadline [项目:openclaw] [类型:会议]
- Yoyo learned a new trick today [宠物:悠悠] [类型:milestone]

Tags support multi-tag AND search — find the exact memory you need:

# Single tag search
python3 scripts/memory_tag_search.py "人物:张浩东"

# Multi-tag AND search (all tags must match)
python3 scripts/memory_tag_search.py "人物:王隆哲" "类型:开票信息"

# List all tags in the system
python3 scripts/memory_tag_search.py --list-tags

# List tags under a specific category
python3 scripts/memory_tag_search.py --list-tags --category 人物
3. Lifecycle Management

Memories age gracefully — never lost, always...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/fatcatmaofei/openclaw-enhanced-memory
Version
—
Commit
59d114c21a594764d132733f28f34d1624f4f164
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# Enhanced Memory

A structured memory system that gives your OpenClaw agent **organized, searchable, long-lived memory** instead of a single monolithic `MEMORY.md`.

## Why?

The default `MEMORY.md` approach hits a wall fast:

- One file grows endlessly → slow to read, expensive on tokens
- No categorization → food logs mixed with project notes mixed with relationship context
- No retrieval strategy → agent re-reads everything or misses what matters
- No lifecycle → old entries clutter active memory forever

Tagged Memory fixes all of this.

## Core Features

### 1. Hierarchical Directory Organization

Memories are stored in purpose-built directories:

```
memory/
├── current/          # Active memories (last 6 months)
├── archived/         # Auto-archived older memories (permanent, never deleted)
│   └── YYYY-MM/      # Organized by month
├── RELATION/         # One file per person (relationship context)
├── food/             # Meal and food logs
├── training/         # Exercise and workout records
├── connections.md    # Global relationship graph
├── system/           # System config and logs
└── misc/             # Everything else
```

### 2. Tag-Based Indexing

Tag any line in any memory file with `[category:value]` markers:

```markdown
## 2026-02-20

- Had lunch with Zhang Hao [人物:张浩东] [类型:聚餐] [地点:campus]
- Discussed the new project deadline [项目:openclaw] [类型:会议]
- Yoyo learned a new trick today [宠物:悠悠] [类型:milestone]
```

Tags support multi-tag AND search — find the exact memory you need:

```bash
# Single tag search
python3 scripts/memory_tag_search.py "人物:张浩东"

# Multi-tag AND search (all tags must match)
python3 scripts/memory_tag_search.py "人物:王隆哲" "类型:开票信息"

# List all tags in the system
python3 scripts/memory_tag_search.py --list-tags

# List tags under a specific category
python3 scripts/memory_tag_search.py --list-tags --category 人物
```

### 3. Lifecycle Management

Memories age gracefully — never lost, always...

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