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 ModelFreeFree, FreemiumFreeFree
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
  • Multi-agent workflow with verification and self-healing
  • 50+ AI models auto-routed per agent
  • 1000+ OAuth2 app integrations
  • Seven breakable boxes covering OWASP Agentic Top-10 vulnerabilities
  • Three guided simulations for cascading failures, human-agent trust, and rogue agents
  • Network-isolated Docker containers for safe execution
  • Code-to-runtime reasoning across cloud, Git, and Kubernetes
  • Action-gate enforces read-only policy on every API call
  • Sandboxed JavaScript execution for concurrent research
Pros
  • Compile-time safety with Swift's strict concurrency
  • First-class support for Apple platforms (iOS, macOS, tvOS) and Linux
  • Replaces 10+ separate tools with one platform
  • Multi-agent orchestration saves time and context switching
  • Covers full OWASP Agentic Top-10 in a realistic manner
  • Docker isolation prevents accidental damage
  • Read-only by construction prevents accidental writes
  • Evidence-backed verification cross-checks every finding
Cons
  • Requires Swift 6.2 and newer OS versions
  • Limited to Swift ecosystem; Python alternatives are more mature
  • Free tier limited to 5,000 credits per month
  • May have a learning curve for complex workflows
  • Requires Docker and technical setup
  • Not for production use; only for lab environments
  • Requires an LLM API key, incurring token costs
  • Limited to read-only operations, cannot remediate
Best For
  • Swift developers building AI-native apps on Apple/Linux
  • Developers needing type-safe agent workflows
  • Marketing teams
  • Content creators
  • Security researchers focusing on AI agent vulnerabilities
  • Developers building MCP-based applications
  • Security engineers
  • DevOps teams

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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