Introducing SwiftAIAgent and DeepSearch: AI Agents Made Swift and Simple

Artificial Intelligence has moved beyond simple Q&A chatbots. Modern AI agents can plan tasks, use tools, and perform multi-step reasoning to accomplish goals. SwiftAIAgent is a new open-source framework that brings these advanced AI agent capabilities to the Swift programming language. Its mission is to “leverage Swift to build AI agent systems that are both simple and swift.” In other words, SwiftAIAgent aims to make it easy (and fast) for developers to create powerful AI-driven agents within the Swift ecosystem.

To showcase what SwiftAIAgent can do, the team has also built DeepSearch, an AI-powered research assistant available as a web service at https://deepsearch.timwang.au. DeepSearch is built on top of SwiftAIAgent and lets anyone try out an AI agent firsthand – just ask a question, and the agent will dig through the web and provide a synthesized answer. In this article, we’ll give a high-level overview of SwiftAIAgent’s main features and introduce deepSearch so you can start exploring these capabilities yourself.

What is SwiftAIAgent?

SwiftAIAgent is an AI agent framework in Swift – essentially a toolkit for building applications where an AI (backed by a Large Language Model) can autonomously plan and execute tasks. Instead of merely responding to prompts, an AI agent can break down a goal into steps, call external tools or APIs, and iteratively work towards a solution. SwiftAIAgent provides Swift developers with the building blocks to set up such agents easily, harnessing the power of advanced models (like Google’s Gemini 2.5) while writing in Swift. The framework is open-source (available on GitHub) and currently in active development. While it already supports core functionalities like workflows and tool use, it’s still early-stage – meaning there’s plenty of room for contributions and new features as the project evolves.

Why Swift? SwiftAIAgent is written in Swift, which means you can integrate AI agents into Apple platforms (iOS, macOS) or server-side Swift apps seamlessly. By using Swift’s concurrency and type system features, SwiftAIAgent strives to keep agent implementations simple (concise to write and easy to maintain) and swift (efficient in execution). This lowers the barrier for Swift developers – you don’t need to switch to Python or Node.js to build AI-driven features; you can do it in Swift with first-class support.

Key Features of SwiftAIAgent

• Autonomous “Auto” Workflows: Agents can figure out plans to achieve goals without manual step definition.
• Customizable Manual Workflows: Developers can orchestrate multiple agents with specific roles, in sequence or parallel.
• Tool Integration (Function Calling): Expose Swift functions as callable tools for the AI to use dynamically.
• Web and API Integrations: Built-in tools for search, web fetching, GitHub APIs, and more.
• Structured Output Formatting: Enforce JSON/structured results using @AIModelSchema.
• Multi-Modal Extensions: Experimental support for image and speech generation.

DeepSearch: A SwiftAIAgent-Powered Research Assistant

DeepSearch is a live service built on SwiftAIAgent, accessible at deepsearch.timwang.au. Unlike a search engine that just lists links, DeepSearch agents actually search, read, and summarize content into coherent answers. It can also generate images that suitable for the content if needed.

Example: Ask “What are the latest advancements in renewable energy?”, and DeepSearch will query Google, read top articles, and compile a digestible report.

⚠️ Note on Performance: DeepSearch runs on Google’s Gemini 2.5 Flash model with a free quota. Responses can sometimes be slow – you might need to wait while the agent runs searches, reads pages, and synthesizes answers.

Conclusion

SwiftAIAgent lowers the barrier to building AI agents in Swift by offering simple yet powerful abstractions for autonomous workflows, tool use, and structured outputs. It’s still in early development, but already demonstrates impressive capabilities.

• Check out the source: SwiftAIAgent on GitHub
• Try it in action: DeepSearch

Happy experimenting with AI agents! 🚀