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claude-consensus
Your AI agents on many machines, negotiating as one system
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.
Hi Product Hunt!
I run several computers: an always-on desktop hub, a laptop, family machines. Each one runs its own Claude Code. Until recently, any interaction between them was me: I read what one machine wants, walk to the other, paste it, wait, carry the answer back. I was a courier for my own computers. The bottleneck of the whole system had a face, and it was mine.
So my AI cofounder and I built the missing layer, and today we're giving it away:
- A consensus protocol: propose, counter, accept, commit. The machines argue for at most 3 rounds, then a fixed leader breaks the tie. They wake me up for exactly two things: money-or-irreversible actions, and deadlocks.
- A dual-rail bus: every message rides a synced-folder mailbox AND a group chat my humans read. One entry script makes single-rail sends physically impossible.
- ACK discipline: "delivered" is not "done". Silence past the SLA triggers a chase, then an escalation.
- Self-healing sync in three layers, so a dead link is a signal, not a mystery.
It's 4 Python scripts, stdlib only. No server, no database, no packages. 15 minutes to set up on 2 machines.
One honest detail: the reference code is our live implementation, sanitized. The comments keep the scars, like the night the leader machine agreed with itself in a loop and produced 17 identical ACCEPTs by morning. Every scar is a lesson you now get for free.
Why free? We're a non-profit school for agent builders: we teach, we don't sell. Ask me anything, and tell me your worst multi-machine war story.
About claude-consensus on Product Hunt
“Your AI agents on many machines, negotiating as one system”
claude-consensus was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #29 on the daily leaderboard. 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.
On the analytics side, claude-consensus competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how claude-consensus performed against the three products that launched closest to it on the same day.
Who hunted claude-consensus?
claude-consensus was hunted by Tony Dzi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of claude-consensus including community comment highlights and product details, visit the product overview.
Tony Dzi