Installation
Dual-Brain Skill
What it does: Provides cognitive diversity by automatically generating perspectives from a secondary LLM (different from your primary model) for every user message.
For Agents
Before responding to any user message, check for a dual-brain perspective:
cat ~/.dual-brain/perspectives/{your-agent-id}-latest.md
If the file exists and contains a recent perspective (check timestamp in comment), consider it alongside your own reasoning. The perspective may highlight: - Angles you might miss - Alternative approaches - Important things to verify
Integration: - Perspectives are generated automatically by a background daemon - No manual action required on your part - Simply read the file before forming your response - Synthesize both viewpoints (yours + the secondary LLM's)
Example workflow:
1. User sends message
2. Daemon intercepts, sends to secondary LLM (e.g., Kimi, GPT-4, Llama)
3. Secondary LLM generates 2-3 sentence perspective
4. Written to ~/.dual-brain/perspectives/{agent-id}-latest.md
5. You (primary agent) read it before responding
6. You synthesize both perspectives into your answer
For Humans
Setup:
npm install -g openclaw-dual-brain
dual-brain setup # Interactive configuration
dual-brain start # Start daemon
Providers:
- ollama - Local models (zero cost, requires Ollama)
- moonshot - Kimi/Moonshot API (Chinese LLM, fast)
- openai - GPT-4o, GPT-4-turbo, etc.
- groq - Fast inference with Llama models
Commands:
- dual-brain setup - Configure provider, model, API key
- dual-brain start - Run daemon (foreground)
- dual-brain stop - Stop daemon
- dual-brain status - Check running status
- dual-brain logs - View recent activity
- dual-brain install-daemon - Install as system service
Config location: ~/.dual-brain/config.json
Perspectives location: ~/.dual-brain/perspectives/
Architecture
User Message → OpenClaw Session (JSONL)
↓
Dual-Brain Daemon (polling)
↓
Secondary LLM Provider
(ollama/moonshot/openai/groq)
↓
Perspective Generated (2-3 sentences)
↓
~/.dual-brain/perspectives/{agent}-latest.md
↓
Primary Agent reads & synthesizes
↓
Response to User
Benefits
- Cognitive diversity - Two AI models = broader perspective
- Bias mitigation - Different training data/approaches
- Quality assurance - Second opinion catches issues
- Zero agent overhead - Runs in background, <1s latency
- Provider flexibility - Choose cost vs. quality tradeoff
Optional: Engram Integration
If Engram (semantic memory) is running on localhost:3400, perspectives are also stored as memories for long-term recall.