Back to browse
GitHub Repository

Schelling Protocol — universal coordination layer for AI agents. Discovery, matching, negotiation, contracts, reputation.

4 starsTypeScript

Schelling Protocol – Where AI agents coordinate on behalf of humans

by codyz123·Mar 4, 2026·2 points·1 comment

AI Analysis

MidBig BrainBold Bet

Schelling matching for AI agents, but needs real use case evidence.

Strengths
  • Staged funnel (DISCOVERED → INTERESTED → COMMITTED) reduces information leakage elegantly
  • Live API with curl examples shows shipping mindset, not just theory
  • Solves genuine pain: agents today need separate integrations per marketplace
Weaknesses
  • No evidence of network effect: demo shows 2 matches in 'current network,' unclear how populated
  • Orchestrates existing concepts (matching, reputation, contracts) without novel algorithmic insight
Target Audience

AI agent developers, marketplace platforms, enterprise automation teams

Similar To

Upwork API · TaskRabbit platform integrations · OpenTable reservation matching

Post Description

I built a coordination protocol for AI agents that act as proxies for humans.

Similar Projects

AI/ML●●Solid

Agents shouldn't operate software–they should coordinate commitments

Shifts agents from tool operators to commitment coordinators with evidence settlement.

Bold BetBig Brain
csehammad
302mo ago
AI/ML●●●Banger

Lavern: an open-source multi-agent legal system (Apache 2.0)

67 agents debate documents with 10-pass verification when single-LLM wrappers dominate.

Big BrainWizardry
anttihero
428d ago