Moa X
Description
Mixture-of-Agents-X - utilizing the MoA framework in agentic coding tools.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
A small, CLI-native take on the 2024 [Mixture-of-Agents paper](https://arxiv.org/abs/2406.04692), pointed at a different job: producing **repo-grounded implementation plans** for coding agents instead of chat answers. The default roster puts proposers from three model labs to work — Google `agy-gemini-pro` (`gemini-3.1-pro-high`), xAI `grok` (`opencode-go/grok-4.5`), and OpenAI `codex-luna` (`gpt-5.6-luna`) — reading the repo in parallel, doing their own web research, and each writing an independent plan. Three refiners—Alibaba Qwen `qwen3.8-max-preview`, DeepSeek V4 Pro, and Anthropic `claude-opus-5`—then refine in broadcast mode (every refiner sees every plan). The shipped defaults and all recommended Web UI modes run Layer 3 through the recorded Codex path with `gpt-5.6-sol` at `xhigh` reasoning. Claude Opus 5 is also available as an aggregator, while Fable 5 is available only as a warning-gated, quota-heavy aggregator option.
Built to run **inside Claude Code** as a skill, or from the local Web UI. Standalone Python works too. The harness ships curated routes across four execution harnesses (`codex`, `claude`, `opencode`, `agy`) and th
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