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.
📋 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.
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
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/hooksor~/.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)
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.
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 |
How It Works
On Service Startup
- Hook triggers on
gateway:startupevent - Detects storage backend (SQLite/PostgreSQL)
- Loads memories for the configured
BRAIN_AGENT_ID - Injects context into agent bootstrap
On /new Command
- Hook triggers on
command:newevent - Saves current session summary to memory
- Clears session state for fresh start
Storage Priority
- PostgreSQL - If available and configured
- SQLite - Fallback, zero configuration needed
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: ```bash
Run setup to generate encryption key
clawbrain setup
Backup your key (IMPORTANT!)
clawbrain backup-key --all ```
Usage: ```python
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:
bash
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.
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 |
Hooks
| Event | Action |
|---|---|
gateway:startup |
Initialize brain, refresh memories |
command:new |
Save session to memory |
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
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:
python
{
"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"
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()
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
Files
clawbrain.py- Main Brain class with all features__init__.py- Module exportsSKILL.md- This documentationskill.json- ClawdHub metadataREADME.md- Quick start guide
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"})
Learn More
- Repository: https://github.com/clawcolab/clawbrain
- README: See README.md for quick start
- Issues: Report bugs at GitHub Issues