AI Agent

Swarm

A Swift framework for building stateful, multi-agent AI workflows with type-safe tools, crash resilience, and native concurrency.

What is Swarm?

Swarm is an open-source Swift framework that enables developers to build stateful, multi-agent AI workflows with type-safe tools, support for multiple inference providers (OpenAI, Anthropic, on-device models), and features like crash recovery, streaming, memory, and guardrails.

Swarm vs Similar AI Tools

Pricing ModelFreeFreeFree, Free TrialFree, Paid
Free Credits
Key Features
  • Type-safe tools via @Tool macro with compile-time JSON schema generation
  • Multi-agent workflows (sequential, parallel, routed, repeat-until)
  • Crash-resilient checkpoints and recovery
  • On-device text extraction from screen without saving screenshots
  • Semantic search by meaning, not just keywords
  • Commitment detection with due-date reminders
  • Plain English strategy description
  • Real historical market data
  • Models slippage, stops, and fills
  • Scans skills and MCP servers against ATR rules before loading
  • Real-time runtime protection against prompt injection and hijacks
  • Signed audit-ready evidence for compliance (EU AI Act, NYDFS, DORA)
Pros
  • Compile-time safety with Swift's strict concurrency
  • First-class support for Apple platforms (iOS, macOS, tvOS) and Linux
  • Fully on-device processing ensures complete privacy
  • Free and open source with no subscription
  • Easy natural language interface
  • Realistic backtesting with slippage and funding
  • Open source with MIT license
  • Real-time detection and prevention
Cons
  • Requires Swift 6.2 and newer OS versions
  • Limited to Swift ecosystem; Python alternatives are more mature
  • Mac-only, requires macOS 15+ and Apple Silicon
  • Permission re-authorization needed after updates (macOS limitation)
  • Limited free trial (250 calls, 30 days)
  • Usage beyond trial requires contacting support
  • Enterprise features require paid tiers
  • Setup may require technical expertise
Best For
  • Swift developers building AI-native apps on Apple/Linux
  • Developers needing type-safe agent workflows
  • Individuals who want to remember everything they see on their Mac
  • Professionals and students needing to track commitments and changes
  • Crypto traders
  • Quantitative researchers
  • Developers building and deploying AI agents
  • Enterprises needing audit-ready AI security

How to use Swarm?

  1. 1Add Swarm as a Swift package dependency.
  2. 2Define tools using the @Tool macro with type-safe parameters.
  3. 3Create agents by providing instructions and tools.
  4. 4Combine agents into workflows using .step(), .parallel(), .route(), and .repeatUntil().
  5. 5Run or stream the workflow with the .run() or .stream() method.

Swarm Key Features

  • Type-safe tools via @Tool macro with compile-time JSON schema generation
  • Multi-agent workflows (sequential, parallel, routed, repeat-until)
  • Crash-resilient checkpoints and recovery
  • Streaming support via AsyncThrowingStream
  • Multiple inference providers: Anthropic, OpenAI, Foundation Models, Ollama, Gemini, etc.
  • Built-in memory types (conversation, vector, sliding window, summary, hybrid)
  • Guardrails for input and output validation
  • Observability with tracers and token metrics
  • MCP client and server support
  • Durable workflow execution

Swarm Use Cases

  • Building multi-step research and summarization pipelines
  • Creating conversational agents with context retention
  • Parallel evaluation of data from multiple perspectives
  • Dynamic routing of tasks to specialized agents
  • On-device AI workflows with Foundation Models

Swarm Pricing & Free Credits

Swarm currently operates on a Free model.

This tool is completely free to use

Open Source

Free

MIT license, free to use, modify, and distribute.

Swarm Pros & Cons

Pros

  • Compile-time safety with Swift's strict concurrency
  • First-class support for Apple platforms (iOS, macOS, tvOS) and Linux
  • Unified abstraction for cloud and on-device LLMs
  • Rich workflow graph with checkpointing
  • Active community and MIT license

Cons

  • Requires Swift 6.2 and newer OS versions
  • Limited to Swift ecosystem; Python alternatives are more mature
  • Some features (Foundation Models, SwiftData) are Apple-only

What is Swarm best for?

  • Swift developers building AI-native apps on Apple/Linux
  • Developers needing type-safe agent workflows
  • Projects requiring on-device LLM support

Swarm FAQ

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