LangGraph for Swift
A free, open-source Swift library that brings LangGraph's stateful, multi-step AI agent pattern natively to iOS and macOS development, without needing a separate Python backend.
🔗 Visit LangGraph for Swift
Description
Most tools for building AI agents that can pause, remember state, and make multi-step decisions — frameworks like LangGraph — only exist for Python and JavaScript. If you're building an iOS or macOS app and want that same kind of structured, stateful AI agent logic, you're normally stuck reimplementing the pattern yourself in Swift from scratch. LangGraph for Swift ports that same idea — a graph where each step (node) can read and update a shared state, with the flow between steps decided by conditional logic — natively into Swift, so Apple-platform developers can build LLM-powered agents without leaving their language or bolting on a Python backend just for the AI logic.
It's a free, open-source Swift package built around a StateGraph architecture: you define nodes and edges, route between them conditionally, and the graph supports checkpoint-based persistence so a run can be paused and resumed later via a thread ID. It handles async and streaming execution, supports composing subgraphs for reusable logic, and can export a visual diagram of the graph in PlantUML or Mermaid format for debugging. It integrates with LangChain-Swift, the companion library providing LLM provider bindings, and is installed via Swift Package Manager.
💬 Our review
The short version: if you're building an AI agent inside a native iOS or macOS app and don't want to spin up a separate Python backend just to get stateful, multi-step LLM logic, LangGraph for Swift is a solid, free way to keep that logic in Swift.
The honest comparison is against just calling an LLM API directly with your own hand-rolled state machine, which is what most iOS developers currently do — LangGraph for Swift's value is giving that a proper, tested structure (checkpointing, conditional routing, subgraphs) instead of everyone reinventing it slightly differently. At 92 GitHub stars it's a small, single-maintainer project rather than a heavily battle-tested framework like its Python namesake, so treat it as a promising library to evaluate on a real feature rather than a safe default for mission-critical production code yet. If your team is Python-first for AI work and only needs a thin Swift client to call it, you may not need this at all — it earns its keep specifically when the agent logic itself needs to live on-device in Swift.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Package Swift gratuit, installation via Swift Package Manager, aucune tarification (bibliothèque, pas un service).
Pros
Porte le pattern LangGraph (état + graphe) nativement en Swift
Persistance par checkpoints, pause/reprise possible
Visualisation du graphe en PlantUML/Mermaid
Gratuit, installable via Swift Package Manager
Cons
Projet à un seul mainteneur, seulement 92 étoiles GitHub
Bien moins éprouvé en production que LangGraph Python
Écosystème de plugins/intégrations plus restreint