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AI Negotiation Sandbox. Find the Win-Win.

An open-source engine where autonomous AI agents negotiate in real time. Config-driven scenarios, transparent reasoning, and a protocol that rewards creative trade-offs.

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My landlord wants to raise rent 30%. What's a fair counter?The team can't agree on a product direction before the deadlineI need a raise but my manager keeps dodging the conversationTwo co-founders disagree on equity. The partnership is at riskHow to close a six-figure deal when the client keeps stallingOur family holiday plan turns into a fight every single yearThe investor wants 25% equity for a seed round. Is that fair?My freelance client wants more scope but won't increase the budgetHR says no to remote work, but half the team is threatening to leaveRoommates can't split expenses without someone feeling ripped offMy landlord wants to raise rent 30%. What's a fair counter?The team can't agree on a product direction before the deadlineI need a raise but my manager keeps dodging the conversationTwo co-founders disagree on equity. The partnership is at riskHow to close a six-figure deal when the client keeps stallingOur family holiday plan turns into a fight every single yearThe investor wants 25% equity for a seed round. Is that fair?My freelance client wants more scope but won't increase the budgetHR says no to remote work, but half the team is threatening to leaveRoommates can't split expenses without someone feeling ripped off

Not Zero-Sum

Agents search for mutual gains, not just concessions. The protocol rewards creative trade-offs that expand the pie for both sides.

Glass Box Reasoning

Every agent streams its inner thoughts before speaking publicly. See exactly why it conceded, bluffed, or walked away.

One Toggle Changes Everything

Flip a single hidden variable — a secret competing offer, a budget cut — and watch the entire negotiation shift in real time.

Built in Public. Join the Community.

Clone the repo, run docker compose up, and get the full stack on localhost. Bring your own API keys, drop in a scenario JSON, and start experimenting.

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