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near-ai

Automates creation, discovery, and governance of modular NEAR AI agents.

14|3|Updated Jan 23, 2026
Search Tags:#architecture#ai#agents#modularity#registry#inference#near
One-click install
npx skills add https://github.com/near/agent-skills --skill near-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: near-ai
Source: https://github.com/near/agent-skills/tree/main/skills/near-ai
Command: npx skills add https://github.com/near/agent-skills --skill near-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

NEAR AI development requires structured patterns to design, discover, and orchestrate AI agents on the NEAR platform. This Skill provides a modular blueprint with metadata, tooling, and guidelines to accelerate building, testing, and deploying AI agents that integrate with NEAR blockchain services.

Core Features & Use Cases

  • Modular agent architecture with clearly defined capabilities and versioning.
  • On-chain and off-chain coordination via a centralized NEAR AI Hub for discovery and deployment.
  • Guidance on AI model integration, prompts, and workflow composition for NEAR-based dApps.
  • Use Case: Create a weather assistant that queries remote data sources, or an on-chain registry-enabled agent system.

Quick Start

Create a simple NEAR AI agent named "weather-assistant" that can retrieve weather data and expose tools for getting current weather and forecasts.

Frequently Asked Questions about near-ai

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

FAQPage Schema
How do I build and deploy AI agents on the NEAR blockchain?▼

To build NEAR AI agents, you use a modular architecture blueprint with metadata, tooling, and guidelines to accelerate building, testing, and deploying agents that integrate with NEAR blockchain services. It automates creation, discovery, and governance.

What is a NEAR AI agent registry and how does it work?▼

A NEAR AI agent registry provides on-chain coordination and discovery for modular agents via a centralized NEAR AI Hub. It enables developers to register, test, and deploy AI agents with clearly defined capabilities and versioning across the network.

How do I structure a NEAR AI agent project using modular architecture?▼

Structuring a NEAR AI agent requires a valid SKILL.md frontmatter with name and description, and may include optional directories for scripts, references, and assets. This modular approach organizes agent capabilities, prompts, and workflow composition.

Can I use off-chain coordination for AI agents integrated with NEAR dApps?▼

Yes, you can coordinate AI agents off-chain and on-chain via a centralized NEAR AI Hub. This provides guidance on AI model integration, prompts, and workflow composition specifically for building and deploying NEAR-based dApps.

What is the best way to create a weather assistant that queries remote data on NEAR?▼

The best way is to create a modular NEAR AI agent named "weather-assistant" that retrieves remote weather data and exposes tools for current weather and forecasts, leveraging the registry-enabled agent system for deployment and discovery.

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