langchaingo and langgraphgo
LangChain Go is a general-purpose LLM framework, while LangGraph Go is a specialized library for building stateful, multi-step agent workflows—making them complements that are typically used together, with LangGraph Go providing the agentic orchestration layer on top of LangChain Go's core LLM capabilities.
About langchaingo
tmc/langchaingo
LangChain for Go, the easiest way to write LLM-based programs in Go
This project helps Go developers build sophisticated applications that use large language models (LLMs). It allows you to feed prompts or data into various LLMs and receive generated text, enabling features like question answering, content creation, or summarization. The target user is a software developer proficient in Go who wants to integrate AI capabilities into their applications.
About langgraphgo
smallnest/langgraphgo
功能那么强大，代码如此简单
LangGraphGo helps Go developers build sophisticated AI applications that involve complex sequences of decisions and actions. It enables the creation of workflows where Large Language Models (LLMs) can reason, use external tools, and manage long-running conversations. Developers input a Go application's requirements for intelligent behavior, and the project outputs a robust, scalable AI system capable of tasks like intelligent knowledge management or automated customer support.
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