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memoria

Gives your OpenClaw agent persistent memory across every session. MEMORIA maintains a structured knowledge layer: who you are, what you're building, every decision made, every lesson learned, every project in flight. Your agent stops being a stranger and starts being a colleague who was there for everything. Zero cloud. Zero API keys. All memory lives in a single local markdown file you own and control forever.

contrario0 installations selon la source☆ 0 Étoiles du dépôtv1.0.2

Installation

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

SkillHub CLI

skillhub install contrario/agent-memoria

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

MEMORIA — Persistent Memory Layer for AI Agents

You now operate with persistent memory. A single file on this machine holds everything that matters about the person you work with. You read it at the start of every session. You update it as you learn new things. You are no longer starting from zero.


MEMORY FILE LOCATION

Look for the memory file at these locations in order:

~/.memoria/memory.md          ← primary (recommended)
~/memoria.md                  ← fallback
./memoria.md                  ← workspace fallback

If none exist, create ~/.memoria/memory.md and run the setup below.

Security setup (run once after install):

mkdir -p ~/.memoria
chmod 700 ~/.memoria
touch ~/.memoria/memory.md
chmod 600 ~/.memoria/memory.md
echo ".memoria/" >> ~/.gitignore
echo "memoria.md" >> ~/.gitignore

This ensures the memory file is never accidentally committed or synced to cloud.


MEMORY FILE STRUCTURE

The memory file is plain markdown. Human-readable. Git-friendly. Yours forever.

# MEMORIA — [Name]'s Intelligence Layer
Last updated: [DATE]

## WHO I AM
Name: 
Location: 
Profession: 
Background: 
Languages: 

## WHAT I'M BUILDING
[Project name]: [One-line description] — Status: [Active/Paused/Done]
[Project name]: [One-line description] — Status: [Active/Paused/Done]

## MY STACK
Languages: 
Frameworks: 
Infrastructure: 
Tools: 
AI Models: 

## ACTIVE GOALS
- [Goal] — Deadline: [DATE] — Priority: [High/Med/Low]

## DECISIONS LOG
### [DATE] — [Decision title]
Decision: 
Reason: 
Alternatives rejected: 
Review date: 

## LESSONS LEARNED
- [DATE] — [Lesson] — Source: [project/mistake/experiment]

## PEOPLE & CONTEXT
- [Name]: [Role, relationship, context]

## PREFERENCES
Communication style: 
Detail level: 
Code style: 
Output format: 

## RECURRING PROBLEMS
- [Problem pattern] → [Solution that worked]

## CURRENT FOCUS (this week)
[What matters most right now]

## BLOCKED / WAITING
- [Item] — Waiting...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/contrario/agent-memoria
Version
1.0.2
Commit
891f07155a6742a7da454972b31848a01f8a9021
Source de classification
rules
Statut
active
Visibilité
public

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

README

MEMORIA 🧠

Your agent meets you for the first time, every time. MEMORIA fixes that.

clawhub install memoria

The Problem

Every OpenClaw session starts from zero. Your agent doesn't know:

  • Who you are
  • What you're building
  • What you decided last week
  • What mistakes you already made
  • How you like to communicate

You re-explain yourself. Every. Single. Time.

The Fix

MEMORIA gives your agent a persistent memory layer — a single local markdown file that holds everything that matters. It loads at session start. It updates in real time. It's yours forever. No cloud. No API keys. No subscriptions.


What MEMORIA remembers

  • Who you are — name, background, location, languages
  • What you're building — all active projects with status
  • Your stack — languages, frameworks, tools, AI models
  • Every decision made — with date, reasoning, and alternatives rejected
  • Every lesson learned — from mistakes, experiments, wins
  • Your preferences — communication style, detail level, output format
  • Recurring problems — and the solutions that worked
  • Current blockers — and what you're waiting for
  • People & context — collaborators, clients, relationships

How it works

Session starts → MEMORIA reads memory.md → Agent is fully briefed
                                         ↓
New info learned → MEMORIA updates memory.md → Persists forever

The memory file lives at ~/.memoria/memory.md — plain markdown, human-readable, git-friendly, and 100% under your control.


Memory commands (natural language)

Say this What happens
"Remember that I hate Redux" Saved to preferences
"I decided to use PostgreSQL" Logged in decisions with date + reason
"That approach was a mistake" Saved to lessons learned
"What do you know about me?" Full memory summary
"I'm blocked on deployment" Added to blockers
"Weekly review" Generates structured weekly brie...

Contenu extrait

SKILL.md
# MEMORIA — Persistent Memory Layer for AI Agents

You now operate with persistent memory. A single file on this machine holds everything
that matters about the person you work with. You read it at the start of every session.
You update it as you learn new things. You are no longer starting from zero.

---

## MEMORY FILE LOCATION

Look for the memory file at these locations in order:

```
~/.memoria/memory.md          ← primary (recommended)
~/memoria.md                  ← fallback
./memoria.md                  ← workspace fallback
```

If none exist, create `~/.memoria/memory.md` and run the setup below.

> **Security setup (run once after install):**
> ```bash
> mkdir -p ~/.memoria
> chmod 700 ~/.memoria
> touch ~/.memoria/memory.md
> chmod 600 ~/.memoria/memory.md
> echo ".memoria/" >> ~/.gitignore
> echo "memoria.md" >> ~/.gitignore
> ```
> This ensures the memory file is never accidentally committed or synced to cloud.

---

## MEMORY FILE STRUCTURE

The memory file is plain markdown. Human-readable. Git-friendly. Yours forever.

```markdown
# MEMORIA — [Name]'s Intelligence Layer
Last updated: [DATE]

## WHO I AM
Name: 
Location: 
Profession: 
Background: 
Languages: 

## WHAT I'M BUILDING
[Project name]: [One-line description] — Status: [Active/Paused/Done]
[Project name]: [One-line description] — Status: [Active/Paused/Done]

## MY STACK
Languages: 
Frameworks: 
Infrastructure: 
Tools: 
AI Models: 

## ACTIVE GOALS
- [Goal] — Deadline: [DATE] — Priority: [High/Med/Low]

## DECISIONS LOG
### [DATE] — [Decision title]
Decision: 
Reason: 
Alternatives rejected: 
Review date: 

## LESSONS LEARNED
- [DATE] — [Lesson] — Source: [project/mistake/experiment]

## PEOPLE & CONTEXT
- [Name]: [Role, relationship, context]

## PREFERENCES
Communication style: 
Detail level: 
Code style: 
Output format: 

## RECURRING PROBLEMS
- [Problem pattern] → [Solution that worked]

## CURRENT FOCUS (this week)
[What matters most right now]

## BLOCKED / WAITING
- [Item] — Waiting...
README
# MEMORIA 🧠

**Your agent meets you for the first time, every time.**
**MEMORIA fixes that.**

```bash
clawhub install memoria
```

---

## The Problem

Every OpenClaw session starts from zero. Your agent doesn't know:
- Who you are
- What you're building
- What you decided last week
- What mistakes you already made
- How you like to communicate

You re-explain yourself. Every. Single. Time.

## The Fix

MEMORIA gives your agent a persistent memory layer — a single local markdown file
that holds everything that matters. It loads at session start. It updates in real time.
It's yours forever. No cloud. No API keys. No subscriptions.

---

## What MEMORIA remembers

- **Who you are** — name, background, location, languages
- **What you're building** — all active projects with status
- **Your stack** — languages, frameworks, tools, AI models
- **Every decision made** — with date, reasoning, and alternatives rejected
- **Every lesson learned** — from mistakes, experiments, wins
- **Your preferences** — communication style, detail level, output format
- **Recurring problems** — and the solutions that worked
- **Current blockers** — and what you're waiting for
- **People & context** — collaborators, clients, relationships

---

## How it works

```
Session starts → MEMORIA reads memory.md → Agent is fully briefed
                                         ↓
New info learned → MEMORIA updates memory.md → Persists forever
```

The memory file lives at `~/.memoria/memory.md` — plain markdown, human-readable,
git-friendly, and 100% under your control.

---

## Memory commands (natural language)

| Say this | What happens |
|---|---|
| "Remember that I hate Redux" | Saved to preferences |
| "I decided to use PostgreSQL" | Logged in decisions with date + reason |
| "That approach was a mistake" | Saved to lessons learned |
| "What do you know about me?" | Full memory summary |
| "I'm blocked on deployment" | Added to blockers |
| "Weekly review" | Generates structured weekly brie...

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