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agent-squad-swift

Orchestrate AI agents for iOS 16+ and macOS 14+ apps.

7.7k|734|Updated Jul 23, 2024
Search Tags:#multi-agent#mcp#ai agent#swift#realtime voice#ios 16#macos 14
One-click install
npx skills add https://github.com/2FastLabs/agent-squad --skill agent-squad-swift
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-squad-swift
Source: https://github.com/2FastLabs/agent-squad/tree/main/swift
Command: npx skills add https://github.com/2FastLabs/agent-squad --skill agent-squad-swift

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires agent-squad, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Agent Squad addresses the complexity of orchestrating multiple AI agents in applications, particularly for iOS 16+ and macOS 14+ on Apple platforms, providing a solution to efficiently manage and integrate AI capabilities into your apps.

Core Features & Use Cases

  • Multi-Agent Orchestration: Facilitates the routing of user queries to the most suitable agent based on context and content.
  • Swappable Agents: Enables the use of a wide range of agents, including single-LLM and grounded Brain → Presenter agents.
  • Remote and On-Device Models: Supports the use of both remote and on-device machine learning models.
  • Tools Integration: Integrates Model Context Protocol (MCP) servers, native Swift functions, and more.
  • Realtime Voice: Allows for natural spoken conversations with interrupt-to-speak capabilities.
  • Tracing and Local-First Storage: Provides built-in tracing for debugging and local-first chat history storage.
  • Use Case: Create a shopping assistant app that routes user queries to an appropriate product search agent or support agent.

Quick Start

Install the Agent Squad Swift package and set up a basic orchestrator with an agent and storage.

Frequently Asked Questions about agent-squad-swift

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

FAQPage Schema
How do I orchestrate multiple AI agents in a Swift iOS app?▼

Multi-agent orchestration in Swift routes user queries to suitable agents based on context. Agent Squad provides a protocol-driven framework for on-device agent management and tool integration on iOS 16+ and macOS 14+.

Can I use Model Context Protocol servers with on-device iOS models?▼

Yes, Model Context Protocol (MCP) servers integrate with on-device iOS models. The framework supports combining remote and local machine learning models with MCP servers and native Swift functions for tool integration.

Does multi-agent orchestration support realtime voice and interrupt-to-speak on macOS 14?▼

Multi-agent orchestration supports realtime voice on macOS 14. It enables natural spoken conversations with interrupt-to-speak capabilities, allowing users to seamlessly interact with agents.

What's the best way to route user queries to different agents in a Swift application?▼

Routing user queries in a Swift app is best handled by a protocol-driven orchestrator. Agent Squad classifies queries based on context and content, directing them to swappable single-LLM or grounded agents.

Do I need Swift 6.2 to manage AI agents on Apple platforms?▼

Yes, Swift 6.2 is required to manage AI agents on Apple platforms. The framework specifically targets iOS 16+ and macOS 14+, requiring this version for protocol-driven agent management and tool integration.

How does local-first chat history storage and tracing work for iOS agents?▼

Local-first chat history storage saves interactions directly on the device. Built-in tracing monitors agent routing and execution for debugging, ensuring data privacy and offline accessibility for iOS agents.

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