Openclaw Multi Brain

What This Skill Does

The Openclaw Multi-Brain skill is a sophisticated cognitive orchestration tool that elevates your AI agent's reasoning capabilities by leveraging a 'multi-perspective' architecture. Instead of relying on a single model's output, this skill initiates parallel processing calls to Kimi K2.5 and GPT 5.3 Codex whenever a specific keyword is detected. These external perspectives are seamlessly synthesized into your primary agent's (Claude Opus 4.6) context window, allowing the system to weigh multiple reasoning streams before providing a final response. This design effectively creates a committee-like deliberation process that runs behind the scenes without the user having to manage multiple chat windows.

Installation

Installation involves three core phases: hook setup, authentication, and configuration. First, initialize the necessary directories using mkdir -p hooks/turn-preflight and deploy the handler.js and HOOK.md files from the package. Second, you must configure the external providers: create a file named .kimi-api-key containing your Moonshot credentials, and install the GPT 5.3 Codex CLI via npm (npm install -g @openai/codex) followed by codex auth. Finally, activate the service in your openclaw.json configuration file by setting the turn-preflight hook to enabled: true. You can tune the activation frequency by modifying the TRIGGER_MODE inside handler.js to suit your specific token budget and performance needs.

Use Cases

This skill is ideal for high-stakes decision-making and creative brainstorming where bias mitigation is critical. It excels in tasks requiring technical review, complex architectural planning, or nuanced policy analysis where different training data distributions might highlight contradictory risks or opportunities. It is particularly effective for developers debugging complex systems or project managers evaluating trade-offs between different technical implementations.

Example Prompts

1. "mb How can we optimize our latency bottlenecks in the current microservice architecture without ballooning infrastructure costs?"
2. "mb Draft a balanced policy statement regarding our new remote-work guidelines that addresses both employee morale and management output tracking."
3. "mb Critique this proposed code structure for the authentication module; what security vulnerabilities are we potentially overlooking?"

Tips & Limitations

• Cost Awareness: The 'auto' trigger mode is token-intensive; use 'keyword' or 'hybrid' mode for routine tasks to conserve credits.
• Latency: Expect a delay of 4-5 seconds as the system waits for parallel API responses.
• Independence: The primary agent is instructed not to acknowledge the other AIs, ensuring a clean, professional user experience.
• Fail-open: The system is resilient; should one of the external providers experience downtime, the primary agent will still provide a response based on the remaining available data.