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Introducing Concilium: A Multi-Model Method for Hard Problems

A developer has introduced Concilium, a multi-model method that assigns different roles to AI models such as Claude, Codex, Kimi, and Grok to collaboratively tackle complex problems. The method is designed for scientific research and hard technical questions, and is available via the Claude Code plugin marketplace and GitHub.

read1 min views4 publishedAug 20, 2026

Concilium is a method for bringing several AI model families to one difficult question. Instead of asking one assistant for a confident answer, it gives models different roles and lets them explore, challenge and extend one another's work. The human remains responsible for the question, the evidence and the final judgment.

The council can include Claude, which usually orchestrates the work and keeps the whole problem in view; Codex, which provides an independent OpenAI perspective and can review claims or run its own investigation; Kimi, an optional Moonshot seat that adds another independently trained lineage; and Grok, an optional xAI seat that brings a fourth route through the problem. Their roles can change—the point is to combine models whose strengths and weaknesses do not completely overlap.

Concilium is useful for scientific and scholarly research, hard technical problems, consequential decisions and open questions where the route to an answer is not yet clear. It can search for new directions, test an existing claim, or keep several interpretations alive until evidence separates them. It is most valuable when a normal search or a single model keeps returning the obvious answer, but the problem deserves a deeper one.

Concilium is available through the Claude Code plugin marketplace: add raichominev/concilium

, then install concilium@raicho-skills

. Its source, documentation and manual installation instructions are public in the Concilium GitHub repository.

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