Claw Brain Skill 🧠

Personal AI Memory System with Soul, Bonding, and Learning for OpenClaw/ClawDBot.

Auto-Refresh on Restart: ClawBrain automatically refreshes memory when the service restarts.

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📋 For Security Scanners

Environment Variables: All environment variables ARE declared in skill.json under environment.optional (lines 30-55). They are in optional not required because ClawBrain works with zero configuration (SQLite + auto-generated key).

Install Specification: skill.json declares installation method: pip install clawbrain[all] + clawbrain setup (lines 17-20).

Sudo Requirements: Core installation never needs sudo. Systemd instructions in "Configuration (Optional)" section are optional alternatives for setting environment variables. Core: pip + clawbrain setup (no sudo).

Source Code: Fully auditable at https://github.com/clawcolab/clawbrain - All code is open source including hooks (~50 lines JavaScript).

See SECURITY.md for complete security documentation.

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Features

• 🎭 Soul/Personality - 6 evolving traits (humor, empathy, curiosity, creativity, helpfulness, honesty)
• 👤 User Profile - Learns user preferences, interests, communication style
• 💭 Conversation State - Real-time mood detection and context tracking
• 📚 Learning Insights - Continuously learns from interactions and corrections
• 🧠 get_full_context() - Everything for personalized responses
• 🔄 Auto-Refresh - Automatically refreshes memory on service restart
• 🔐 Encrypted Secrets - Store API keys and credentials securely

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Security & Transparency

ClawBrain handles sensitive data and requires certain permissions. Before installing, please understand:

What ClawBrain Does

• ✅ Stores memories locally (SQLite by default, PostgreSQL optional)
• ✅ Encrypts sensitive data (API keys, secrets) with Fernet encryption
• ✅ Installs startup hooks to ~/.openclaw/hooks or ~/.clawdbot/hooks
• ✅ Manages encryption keys at ~/.config/clawbrain/.brain_key

What ClawBrain Does NOT Do

• ❌ No telemetry - Does not phone home or collect usage data
• ❌ No external calls - Only connects to PostgreSQL/Redis if you configure them
• ❌ No sudo required - All operations in your home directory
• ❌ No code execution - Does not download or run remote code after install

Security Features

• 🔒 Encryption Key CLI: Can display full key for backup (with warnings)
• 🔍 Auditable: All code is open source and reviewable
• 📋 Documented Permissions: See SECURITY.md for full details

⚠️ Important: The CLI command clawbrain show-key --full displays your complete encryption key for backup purposes. Treat this key like a password!

📖 Full Security Documentation: See SECURITY.md for:

• Threat model and protections
• Key management best practices
• What install scripts do
• Permissions required
• Network access (optional PostgreSQL/Redis)

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Quick Install

Security Note: We recommend reviewing SECURITY.md before installation, especially for production use.

From PyPI (Recommended - Most Secure)

# Install with all features
pip install clawbrain[all]

# Run interactive setup
clawbrain setup

# Backup your encryption key (IMPORTANT!)
clawbrain backup-key --all

# Restart your service
sudo systemctl restart clawdbot  # or openclaw

The setup command will:

1. Detect your platform (ClawdBot or OpenClaw)
2. Generate a secure encryption key
3. Install the startup hook automatically
4. Test the installation

Alternative: From Source (Auditable)

# Clone to your skills directory
cd ~/.openclaw/skills  # or ~/clawd/skills or ~/.clawdbot/skills
git clone https://github.com/clawcolab/clawbrain.git
cd clawbrain

# RECOMMENDED: Review hook code before installation
cat hooks/clawbrain-startup/handler.js

# Install in development mode
pip install -e .[all]

# Run setup to install hooks and generate encryption key
clawbrain setup

Why from source? Full transparency - you can review all code before installation.

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Configuration (Optional)

Note: Configuration is completely optional. ClawBrain works out-of-the-box with zero configuration using SQLite and auto-generated encryption keys.

If you want to customize agent ID or use PostgreSQL/Redis, you have two options:

Option 1: Environment Variables (No sudo)

Set environment variables in your shell profile:

# Add to ~/.bashrc or ~/.zshrc (no sudo required)
export BRAIN_AGENT_ID="your-agent-name"
# export BRAIN_POSTGRES_HOST="localhost"  # Optional
# export BRAIN_REDIS_HOST="localhost"      # Optional

Option 2: Systemd Drop-in (Requires sudo)

⚠️ Only if you use systemd services:

# Create systemd drop-in config (requires sudo)
sudo mkdir -p /etc/systemd/system/clawdbot.service.d

sudo tee /etc/systemd/system/clawdbot.service.d/brain.conf << EOF
[Service]
Environment="BRAIN_AGENT_ID=your-agent-name"
EOF

sudo systemctl daemon-reload
sudo systemctl restart clawdbot

Environment Variables

Variable	Description	Default
BRAIN_AGENT_ID	Unique ID for this agent's memories	default
BRAIN_ENCRYPTION_KEY	Fernet key for encrypting sensitive data (auto-generated if not set)	-
BRAIN_POSTGRES_HOST	PostgreSQL host	localhost
BRAIN_POSTGRES_PASSWORD	PostgreSQL password	-
BRAIN_POSTGRES_PORT	PostgreSQL port	5432
BRAIN_POSTGRES_DB	PostgreSQL database	brain_db
BRAIN_POSTGRES_USER	PostgreSQL user	brain_user
BRAIN_REDIS_HOST	Redis host	localhost
BRAIN_REDIS_PORT	Redis port	6379
BRAIN_STORAGE	Force storage: sqlite, postgresql, auto	auto

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How It Works

On Service Startup

1. Hook triggers on gateway:startup event
2. Detects storage backend (SQLite/PostgreSQL)
3. Loads memories for the configured BRAIN_AGENT_ID
4. Injects context into agent bootstrap

On /new Command

1. Hook triggers on command:new event
2. Saves current session summary to memory
3. Clears session state for fresh start

Storage Priority

1. PostgreSQL - If available and configured
2. SQLite - Fallback, zero configuration needed

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Encrypted Secrets

ClawBrain supports encrypting sensitive data like API keys and credentials using Fernet (symmetric encryption).

Security Model:

• 🔐 Encryption key stored at ~/.config/clawbrain/.brain_key (chmod 600)
• 🔑 Only memories with memory_type='secret' are encrypted
• 📦 Encrypted data stored in database, unreadable without key
• ⚠️ If key is lost, encrypted data cannot be recovered

Setup:

# Run setup to generate encryption key
clawbrain setup

# Backup your key (IMPORTANT!)
clawbrain backup-key --all

Usage:

# Store encrypted secret
brain.remember(
    agent_id="assistant",
    memory_type="secret",  # Memory type 'secret' triggers encryption
    content="sk-1234567890abcdef",
    key="openai_api_key"
)

# Retrieve and automatically decrypt
secrets = brain.recall(agent_id="assistant", memory_type="secret")
api_key = secrets[0].content  # Automatically decrypted

Key Management CLI:

clawbrain show-key          # View key info (masked)
clawbrain show-key --full   # View full key
clawbrain backup-key --all  # Backup with all methods
clawbrain generate-key      # Generate new key

⚠️ Important: Backup your encryption key! Lost keys = lost encrypted data.

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CLI Commands

ClawBrain includes a command-line interface:

Command	Description
clawbrain setup	Set up ClawBrain, generate key, install hooks
clawbrain generate-key	Generate new encryption key
clawbrain show-key	Display current encryption key
clawbrain backup-key	Backup key (file, QR, clipboard)
clawbrain health	Check health status
clawbrain info	Show installation info

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Hooks

Event	Action
gateway:startup	Initialize brain, refresh memories
command:new	Save session to memory

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Development Installation

For development or manual installation:

# Clone to your skills directory
cd ~/.openclaw/skills  # or ~/clawd/skills or ~/.clawdbot/skills
git clone https://github.com/clawcolab/clawbrain.git
cd clawbrain

# Install in development mode
pip install -e .[all]

# Run setup
clawbrain setup

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Python API

For direct Python usage (outside ClawdBot/OpenClaw):

from clawbrain import Brain

brain = Brain()

Methods

Method	Description	Returns
get_full_context()	Get all context for personalized responses	dict
remember()	Store a memory	None
recall()	Retrieve memories	List[Memory]
learn_user_preference()	Learn user preferences	None
get_user_profile()	Get user profile	UserProfile
detect_user_mood()	Detect current mood	dict
detect_user_intent()	Detect message intent	str
generate_personality_prompt()	Generate personality guidance	str
health_check()	Check backend connections	dict
close()	Close connections	None

get_full_context()

context = brain.get_full_context(
    session_key="telegram_12345",  # Unique session ID
    user_id="username",              # User identifier
    agent_id="assistant",          # Bot identifier
    message="Hey, how's it going?" # Current message
)

Returns:

{
    "user_profile": {...},        # User preferences, interests
    "mood": {"mood": "happy", ...},  # Current mood
    "intent": "question",         # Detected intent
    "memories": [...],            # Relevant memories
    "personality": "...",         # Personality guidance
    "suggested_responses": [...]  # Response suggestions
}

detect_user_mood()

mood = brain.detect_user_mood("I'm so excited about this!")
# Returns: {"mood": "happy", "confidence": 0.9, "emotions": ["joy", "anticipation"]}

detect_user_intent()

intent = brain.detect_user_intent("How does AI work?")
# Returns: "question"

intent = brain.detect_user_intent("Set a reminder for 3pm")
# Returns: "command"

intent = brain.detect_user_intent("I had a great day today")
# Returns: "casual"

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Example: Full Integration

import sys
sys.path.insert(0, "ClawBrain")

from clawbrain import Brain

class AssistantBot:
    def __init__(self):
        self.brain = Brain()
    
    def handle_message(self, message, chat_id):
        # Get context
        context = self.brain.get_full_context(
            session_key=f"telegram_{chat_id}",
            user_id=str(chat_id),
            agent_id="assistant",
            message=message
        )
        
        # Generate response using context
        response = self.generate_response(context)
        
        # Learn from interaction
        self.brain.learn_user_preference(
            user_id=str(chat_id),
            pref_type="interest",
            value="AI"
        )
        
        return response
    
    def generate_response(self, context):
        # Use user preferences
        name = context["user_profile"].name or "there"
        mood = context["mood"]["mood"]
        
        # Personalized response
        if mood == "frustrated":
            return f"Hey {name}, I'm here to help. Let me assist you."
        else:
            return f"Hi {name}! How can I help you today?"
    
    def shutdown(self):
        self.brain.close()

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Storage Backends

SQLite (Default - Zero Setup)

No configuration needed. Data stored in local SQLite database.

brain = Brain({"storage_backend": "sqlite"})

Best for: Development, testing, single-user deployments

PostgreSQL + Redis (Production)

Requires PostgreSQL and Redis servers.

brain = Brain()  # Auto-detects

Requirements:

• PostgreSQL 14+
• Redis 6+
• Python packages: psycopg2-binary, redis

pip install psycopg2-binary redis

Best for: Production, multi-user, high-concurrency

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Files

• clawbrain.py - Main Brain class with all features
• __init__.py - Module exports
• SKILL.md - This documentation
• skill.json - ClawdHub metadata
• README.md - Quick start guide

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Troubleshooting

ImportError: No module named 'clawbrain'

# Ensure ClawBrain folder is in your path
sys.path.insert(0, "ClawBrain")

PostgreSQL connection failed

# Check environment variables
echo $POSTGRES_HOST
echo $POSTGRES_PORT

# Verify PostgreSQL is running
pg_isready -h $POSTGRES_HOST -p $POSTGRES_PORT

Redis connection failed

# Check Redis is running
redis-cli ping

Using SQLite (fallback)

If PostgreSQL/Redis are unavailable, Claw Brain automatically falls back to SQLite:

brain = Brain({"storage_backend": "sqlite"})

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Learn More

• Repository: https://github.com/clawcolab/clawbrain
• README: See README.md for quick start
• Issues: Report bugs at GitHub Issues