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An open protocol for AI agents to discover each other and work together. MCP solved human-to-agent. AIP solves agent-to-agent.

0 starsTypeScript

AIP – Open protocol for AI agents to discover and collaborate

by henry9031·Feb 25, 2026·2 points·0 comments

AI Analysis

●●SolidBig BrainZero to One

Agent-to-agent coordination when most agents are islands—but early and unclear adoption path.

Strengths
  • Genuine insight: MCP solved human-to-agent, this tackles agent-to-agent gap
  • Concrete quickstart with working examples (provider, requester, demo)
  • Dual SDK (TypeScript + Python) lowers friction for different stacks
Weaknesses
  • Tiny ecosystem: zero stars, no real agents using it yet
  • Missing: pricing model clarity, registry uptime SLA, production rollout details
  • Narrow audience: only matters if you're already building multi-agent systems
Target Audience

AI/ML engineers building multi-agent systems

Similar To

MCP (Model Context Protocol) · AgentOps · LangChain multi-agent routing

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