Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly code review and AI agents that connect over MCP — source available on GitHub.
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Catalogue record
github.com
claude-concilium
📇 🏠 🍎 🪟 🐧 - Multi-agent AI consultation framework for Claude Code. Three MCP servers wrapping CLI tools (Codex, Gemini, Qwen) for parallel c...
Checked Oct 27, 2026Evidence completeness: evidenceREADME refreshed Oct 16, 2026
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📇 🏠 🍎 🪟 🐧 - Multi-agent AI consultation framework for Claude Code. Three MCP servers wrapping CLI tools (Codex, Gemini, Qwen) for parallel code review and problem-solving with fallback chains and error detection. Includes ready-to-use Claude Code skill.
Best for
Teams evaluating AI models, assistants and generative workflows, particularly code review and AI agents that connect over MCP — source available on GitHub.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
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Evidence summary
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
Repository context
Claude Concilium
GitHub / spyrae/claude-concilium
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- Catalogue updated Oct 27, 2026
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