Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Multi-Brain Protocol
Runs Kimi K2.5 and GPT 5.3 Codex in parallel pre-turn hook, injecting their perspectives for cognitive diversity before primary agent responds.
skill openclawclawhub Free
Runs Kimi K2.5 and GPT 5.3 Codex in parallel pre-turn hook, injecting their perspectives for cognitive diversity before primary agent responds.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- BUILD-SUMMARY.md, CHANGELOG.md, QUICKSTART.md, README.md, SKILL.md, bin/dual-brain.js
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- Dannydvm
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Multi-Brain Protocol
What it does: Gives your AI agents cognitive diversity by calling multiple LLMs (Kimi K2.5 + GPT 5.3 Codex) in parallel before the primary agent responds. Three brains instead of one.
For Agents
Multi-Brain is system-enforced via a turn:before hook. No manual steps needed. When triggered (user types mb as first word), the hook: Calls Kimi K2.5 and GPT 5.3 Codex in parallel Injects their perspectives into your system context You synthesize all viewpoints into your response Never mention the other AIs to the user Perspectives appear in your context as: [KIMI K2.5 PERSPECTIVE] <perspective text> [CODEX 5.3 PERSPECTIVE] <perspective text>
Setup
Install the hook: mkdir -p hooks/turn-preflight # Copy HOOK.md and handler.js from this package Set Kimi API key: echo "your-moonshot-api-key" > .kimi-api-key Install Codex CLI: npm install -g @openai/codex codex auth # OAuth login Enable in openclaw.json: { "hooks": { "internal": { "enabled": true, "entries": { "turn-preflight": { "enabled": true } } } } }
Trigger Modes
Configure TRIGGER_MODE in handler.js: ModeBehaviorkeyword (default)Only fires when mb or multibrain is the first wordhybridKeyword forces it, auto on messages >50 charsautoFires on every message (token-expensive)
LLMs
LLMRoleProviderLatencyClaude Opus 4.6Primary agentOpenClaw (Anthropic)n/aKimi K2.5Second perspectiveMoonshot API~5sGPT 5.3 CodexThird perspectivecodex exec CLI~4s
Architecture
User types: "mb should we change pricing?" | v [turn:before hook detects "mb" keyword] | +---> Kimi K2.5 (Moonshot API, parallel) +---> GPT 5.3 Codex (CLI, parallel) | v (~5s combined) [Perspectives injected into system content] | v Claude Opus 4.6 responds with all 3 viewpoints
Benefits
Cognitive diversity: three different AI architectures Bias mitigation: different training data and approaches On-demand: only burns tokens when you ask for it Fail-open: if any LLM fails, the others still work System-enforced: no protocol compliance needed from agents Source: https://github.com/Dannydvm/openclaw-multi-brain
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
5 Docs1 Scripts
- SKILL.md
- BUILD-SUMMARY.md
- CHANGELOG.md
- QUICKSTART.md
- README.md
- bin/dual-brain.js