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.

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