claude-consensus
It's a Claude Code plugin that runs multiple AI models (GPT, Gemini, Grok, Kimi, Qwen, etc.) in parallel for code review and planning, then converges them on consensus through structured rounds. Each model reviews independently with no visibility into what the others found. Then they synthesize, surface conflicts, and run convergence (approve / changes needed, max 2 rounds). Technically it's markdown command files orchestrating Claude Code's team system — no custom runtime, just CLI piping.
claude-consensus launched on July 7, 2026 with 2 votes.
What it does
Open-source coordination for AI agents on multiple computers: a consensus protocol (propose, counter, accept, commit), a dual-rail message bus, ACK discipline and self-healing sync. Stdlib-only Python from a live system. Free: we teach, we don't sell.
Run AI agents across machines without state drift: consensus protocol (propose/counter/accept/commit), dual-rail message bus, ACK discipline, self-healing sync. Formerly claude-consensus. Free, MIT. - tonydzi/claw-consensus
Who builds this and why → START-HERE.md · one page of proof: tonydzi.github.io Run AI agents on more than one computer and you become the courier: copy-pasting between terminals, chasing silent handoffs, watching machines drift apart. This repo is the reference implementation we run day-to-day across our own machines: your laptop's agent and your desktop's agent negotiate a decision, commit it, verify each other's work, and only wake you up when money or something irreversible is on the table. This is the multi-machine coordination layer extracted from a real working system: a solo founder + his AI cofounder running 5 machines (an always-on hub, laptops, family computers) that talk to each…from github.com
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