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aixyz

Scaffold and deploy AI agents with aixyz, MCP, A2A, and x402 payments.

71|22|Updated Apr 6, 2020
Search Tags:#deployment#agent#scaffold#mcp#a2a#x402#aixyz
One-click install
npx skills add https://github.com/nirholas/agenti --skill aixyz-nirholas
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: aixyz
Source: https://github.com/nirholas/agenti/tree/main/packages/protocols/x402-use-agently/.agents/skills/aixyz
Command: npx skills add https://github.com/nirholas/agenti --skill aixyz-nirholas

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Build, run, and deploy AI agents using the aixyz framework to streamline project setup, tool integration, and hosting.

Core Features & Use Cases

  • Scaffold a new AI agent project from scratch and generate a ready-to-run configuration.
  • Wire up tools, A2A, MCP protocols, and x402 micropayments for pay-to-use endpoints.
  • Deploy agents to cloud providers like Vercel for quick hosting and scalable operation.

Quick Start

Create a new aixyz agent project and deploy it to Vercel.

Frequently Asked Questions about aixyz

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I scaffold and deploy an AI agent using the aixyz framework?▼

Scaffolding an AI agent with aixyz involves generating a ready-to-run configuration, wiring tools and protocols, and deploying to cloud providers like Vercel for hosting.

Can I integrate MCP and A2A protocols when building AI agents?▼

Yes, you can wire up MCP and A2A protocols during agent creation to enable standard communication and tool integration within your aixyz project layout.

What is x402 payment gating for AI agent deployment?▼

x402 payment gating is a micropayment integration that creates pay-to-use endpoints for your deployed AI agents, requiring configuration in the aixyz.config.ts file.

Do I need a specific project layout to build AI agents with aixyz?▼

Yes, aixyz requires a standard project layout including the aixyz.config.ts file, tool definitions, and optional payment gating setup to properly build and deploy agents.

What's the best way to deploy AI agents to Vercel for scalable hosting?▼

Deploying AI agents to Vercel through the aixyz framework provides quick hosting and scalable operation by leveraging the generated project configuration and integrated protocols.

How does x402 micropayment integration work for pay-to-use AI endpoints?▼

x402 micropayments integrate into your agent configuration to gate endpoint access, allowing you to charge users for interactions with your deployed AI agents on cloud providers.

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