LangGraph-Swift
0
LangGraph-Swift is a Swift framework for building AI agent pipelines using composable graph nodes. It supports connecting to LLM models, retrieval, memory, and external tools to orchestrate workflows. Developers define type-safe graphs, visualize execution, and run on iOS, macOS, and Linux.
Graph AI
AI Knowledge Graph
AI Slogan Generator
Whiteboard AI
#AI Workflows
#graph-based DSL
#LLM Integration
#memory management
#tool integrations
#Swift programming
#cross-platform development
#debugging tools
#visualization utilities
#composable pipelines
#type-safe programming
#Chatbot Development
#autonomous agents
#API calls
#Rapid Prototyping
#code safety
#session context
#memory modules
#Swift frameworks
#Developer Tools
...
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LangGraph-Swift is a Swift framework for building AI agent pipelines using composable graph nodes. It supports connecting to LLM models, retrieval, memory, and external tools to orchestrate workflows. Developers define type-safe graphs, visualize execution, and run on iOS, macOS, and Linux.
Graph AI
AI Knowledge Graph
AI Slogan Generator
Whiteboard AI
#AI Workflows
#graph-based DSL
#LLM Integration
#memory management
#tool integrations
#Swift programming
#cross-platform development
#debugging tools
#visualization utilities
#composable pipelines
#type-safe programming
#Chatbot Development
#autonomous agents
#API calls
#Rapid Prototyping
#code safety
#session context
#memory modules
#Swift frameworks
#Developer Tools
...
Featured
What is LangGraph-Swift?
LangGraph-Swift provides a graph-based DSL for constructing AI workflows by chaining nodes representing actions such as LLM queries, retrieval operations, tool calls, and memory management. Each node is type-safe and can be connected to define execution order. The framework supports adapters for popular LLM services like OpenAI, Azure, and Anthropic, as well as custom tool integrations for calling APIs or functions. It includes built-in memory modules to retain context across sessions, debugging and visualization tools, and cross-platform support for iOS, macOS, and Linux. Developers can extend nodes with custom logic, enabling rapid prototyping of chatbots, document processors, and autonomous agents within native Swift.
Who will use LangGraph-Swift?
- Swift Developers
- iOS/macOS App Developers
- AI Researchers
- Software Engineers building AI agents
How to use the LangGraph-Swift?
- Step1: Add LangGraph-Swift via Swift Package Manager to your Xcode project.
- Step2: Import the LangGraph module in your Swift files.
- Step3: Define a Graph and add nodes like LLMNode, ToolNode, and MemoryNode.
- Step4: Configure LLM and tool providers with API keys and adapters.
- Step5: Connect nodes to form a pipeline and run your graph asynchronously.
- Step6: Use provided debugging and visualization utilities to inspect execution.
Platform
- mac
- linux
- ios
LangGraph-Swift's Core Features & Benefits
The Core Features
- Graph-based composable pipelines
- LLM integration via adapters
- Memory modules for context
- Tool and API integrations
- Type-safe Swift DSL
- Debugging and visualization utilities
The Benefits
- Modular and reusable AI workflows
- Seamless native Swift integration
- Cross-platform support
- Type safety and compile-time checks
- Easier debugging of complex flows
LangGraph-Swift's Main Use Cases & Applications
- Building chatbots and conversational agents
- Document summarization and Q&A systems
- Automated customer support workflows
- Retrieval-augmented generation applications
- Custom tool and API orchestration
LangGraph-Swift's Pros & Cons
The Pros
Enables advanced visualization of language model constructs.
Facilitates complex language data representations.
Designed specifically for Swift developers, integrating well in Apple ecosystem.
Supports natural language processing tasks through graph-based representation.
The Cons
Limited to Swift language environment.
Documentation and community support appear minimal.
No explicit information about open-source status or active maintenance.
LangGraph-Swift's Pricing
| Has free plan | No |
|---|---|
| Free trial details | |
| Pricing model | |
| Is credit card required | No |
| Paid from | |
| Has lifetime plan | No |
| Billing frequency |
FAQs of LangGraph-Swift
LangGraph-Swift Company Information
Analytic of LangGraph-Swift
Visit Over Time
Monthly Visits
1.5k
Avg Visit Duration
00:01:32
Page Per Visit
1.58
Bounce Rate
44.64%
Sep 2025 - Nov 2025 All Traffic
Geography
Top 2 Regions
United States
99.56%
Japan
0.44%
Sep 2025 - Nov 2025 Worldwide Desktop Only
Traffic Sources
Search
43.03%
Direct
35.57%
Social
14.74%
Referrals
5.25%
Paid Referrals
1.32%
Mail
0.08%
Sep 2025 - Nov 2025 Desktop Only
LangGraph-Swift Reviews
5/5
LangGraph-Swift's Main Competitors and alternatives?
- LangChain
- Ollama Swift
- AIKit
- Haystack (Python)
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