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OpenClaw

Persistent User Memory

Skill: Persistent User Memory

eyadhrif0 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 eyadhrif/persistent-user-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

Skill: Persistent User Memory

Version: 1.0.0
Author: community
Tags: memory, personalization, context, learning, stateful
Requires: file system access, optional: vector store or SQLite


Overview

This skill gives OpenClaw a long-term, structured memory of the user it works with. Unlike session-scoped context, this memory persists across restarts, learns from patterns over time, and is actively consulted before every significant action.

The goal: make OpenClaw behave less like a capable stranger and more like a trusted assistant who actually knows you.


Memory Store Location

All memory is stored in a local file:

~/.openclaw/memory/user_profile.json

Never store memory in a temp directory. Never delete this file unless the user explicitly says "reset my memory" or "forget everything".


Memory Schema

{
  "identity": {
    "name": "",
    "timezone": "",
    "language": "en",
    "preferred_name": ""
  },
  "preferences": {
    "communication": {
      "email_tone": "formal | casual | neutral",
      "response_length": "concise | detailed",
      "sign_off": ""
    },
    "scheduling": {
      "protected_hours": [],
      "preferred_meeting_times": [],
      "buffer_between_meetings_minutes": 15
    },
    "work": {
      "tools": [],
      "stacks": [],
      "working_hours": { "start": "", "end": "" }
    }
  },
  "relationships": {
    "contacts": [
      {
        "name": "",
        "alias": [],
        "relationship": "boss | colleague | client | friend | family",
        "communication_notes": "",
        "last_interaction": ""
      }
    ]
  },
  "patterns": {
    "recurring_tasks": [],
    "common_mistakes": [],
    "frequent_requests": []
  },
  "episodic": [
    {
      "date": "",
      "summary": "",
      "outcome": "",
      "tags": []
    }
  ],
  "meta": {
    "created_at": "",
    "last_updated": "",
    "version": "1.0.0"
  }
}

Core Behaviors

1. Read...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/eyadhrif/persistent-user-memory
Version
—
Commit
15085a2ee799c10a9fdab5121f64dadf3ca7ad4f
Source de classification
rules
Statut
active
Visibilité
public

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

README

🧠 persistent-user-memory

An OpenClaw skill that makes your agent actually remember you.


The Problem

Every time OpenClaw starts a new session, it forgets everything.

It doesn't know your name. It doesn't know that you hate morning meetings, that "Sarah" means Ms. Chen your most important client, or that the last deployment failed because of a missing env var. You repeat yourself constantly, and the agent never gets better at working with you specifically.

That's what this skill fixes.


What It Does

persistent-user-memory gives OpenClaw a structured, local memory of you that grows over time:

  • 👤 Identity & preferences — tone, schedule, tools, working hours
  • 🤝 Relationships — who your contacts are, how to communicate with them
  • 🔁 Patterns — recurring tasks, common mistakes, frequent requests
  • 📓 Episodic log — a running summary of significant past interactions

The agent reads this memory before acting and updates it after learning — silently, without interrupting your workflow.


Install

claw skill install persistent-user-memory

Or manually:

mkdir -p ~/.openclaw/skills/persistent-user-memory
cp SKILL.md ~/.openclaw/skills/persistent-user-memory/SKILL.md

How It Works

Before every significant action

The agent loads your profile and applies relevant context automatically.

You ask it to email "David" → it checks your contacts, finds two Davids, asks which one rather than guessing.

After every learning moment

When you correct the agent, state a preference, or complete a recurring task, memory is updated.

You say "never schedule before 9:30am" → stored immediately, respected forever.

Proactively, when it matters

The agent surfaces past context when it's genuinely useful — not constantly.

"Last time you ran this deploy it failed due to a missing env var — want me to check first?"


Privacy

  • ✅ All memory stored locally only at `~/.openclaw...

Contenu extrait

SKILL.md
# Skill: Persistent User Memory

**Version:** 1.0.0  
**Author:** community  
**Tags:** `memory`, `personalization`, `context`, `learning`, `stateful`  
**Requires:** file system access, optional: vector store or SQLite

---

## Overview

This skill gives OpenClaw a long-term, structured memory of the user it works with. Unlike session-scoped context, this memory persists across restarts, learns from patterns over time, and is actively consulted before every significant action.

The goal: make OpenClaw behave less like a capable stranger and more like a trusted assistant who actually knows you.

---

## Memory Store Location

All memory is stored in a local file:

```
~/.openclaw/memory/user_profile.json
```

Never store memory in a temp directory. Never delete this file unless the user explicitly says `"reset my memory"` or `"forget everything"`.

---

## Memory Schema

```json
{
  "identity": {
    "name": "",
    "timezone": "",
    "language": "en",
    "preferred_name": ""
  },
  "preferences": {
    "communication": {
      "email_tone": "formal | casual | neutral",
      "response_length": "concise | detailed",
      "sign_off": ""
    },
    "scheduling": {
      "protected_hours": [],
      "preferred_meeting_times": [],
      "buffer_between_meetings_minutes": 15
    },
    "work": {
      "tools": [],
      "stacks": [],
      "working_hours": { "start": "", "end": "" }
    }
  },
  "relationships": {
    "contacts": [
      {
        "name": "",
        "alias": [],
        "relationship": "boss | colleague | client | friend | family",
        "communication_notes": "",
        "last_interaction": ""
      }
    ]
  },
  "patterns": {
    "recurring_tasks": [],
    "common_mistakes": [],
    "frequent_requests": []
  },
  "episodic": [
    {
      "date": "",
      "summary": "",
      "outcome": "",
      "tags": []
    }
  ],
  "meta": {
    "created_at": "",
    "last_updated": "",
    "version": "1.0.0"
  }
}
```

---

## Core Behaviors

### 1. Read...
README
# 🧠 persistent-user-memory

> An OpenClaw skill that makes your agent actually remember you.

---

## The Problem

Every time OpenClaw starts a new session, it forgets everything.

It doesn't know your name. It doesn't know that you hate morning meetings, that "Sarah" means Ms. Chen your most important client, or that the last deployment failed because of a missing env var. You repeat yourself constantly, and the agent never gets better at working *with you specifically*.

**That's what this skill fixes.**

---

## What It Does

`persistent-user-memory` gives OpenClaw a structured, local memory of you that grows over time:

- 👤 **Identity & preferences** — tone, schedule, tools, working hours
- 🤝 **Relationships** — who your contacts are, how to communicate with them
- 🔁 **Patterns** — recurring tasks, common mistakes, frequent requests
- 📓 **Episodic log** — a running summary of significant past interactions

The agent reads this memory before acting and updates it after learning — silently, without interrupting your workflow.

---

## Install

```bash
claw skill install persistent-user-memory
```

Or manually:

```bash
mkdir -p ~/.openclaw/skills/persistent-user-memory
cp SKILL.md ~/.openclaw/skills/persistent-user-memory/SKILL.md
```

---

## How It Works

### Before every significant action
The agent loads your profile and applies relevant context automatically.

> You ask it to email "David" → it checks your contacts, finds two Davids, asks which one rather than guessing.

### After every learning moment
When you correct the agent, state a preference, or complete a recurring task, memory is updated.

> You say "never schedule before 9:30am" → stored immediately, respected forever.

### Proactively, when it matters
The agent surfaces past context when it's genuinely useful — not constantly.

> "Last time you ran this deploy it failed due to a missing env var — want me to check first?"

---

## Privacy

- ✅ All memory stored **locally only** at `~/.openclaw...

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