proxy.golang.org : github.com/smallnest/langgraphgo
LangGraph Go - Building Stateful, Multi-Agent Applications in Go LangGraph Go is a Go implementation of LangChain's LangGraph framework for building stateful, multi-agent applications with LLMs. It provides a powerful graph-based approach to constructing complex AI workflows with support for cycles, checkpoints, and human-in-the-loop interactions. Install the package: Basic example: LangGraph Go uses a directed graph structure where: State can be managed in different ways: graph/ The core graph construction and execution engine prebuilt/ Ready-to-use agent implementations Types of agents: Example: ### memory/ Various memory management strategies Types: Example: ### tool/ Collection of useful tools Categories: Example: store/ Checkpoint persistence implementations Options: Example: adapter/ Integration adapters for external systems Adapters: Example: ptc/ Programmatic Tool Calling - agents generate code to use tools log/ Simple logging utilities The rag package provides comprehensive RAG capabilities for LangGraph applications: 1. Multi-Agent System with Supervisor 2. RAG (Retrieval-Augmented Generation) System 3. Typed Graph with Custom State Choose the right agent type for your use case - ReAct for general tasks - Supervisor for multi-agent workflows - PTC for complex tool interactions Use typed graphs when possible for better type safety Implement proper error handling in all node functions Add checkpoints for long-running or critical workflows Use appropriate memory strategy for conversations Monitor execution with listeners and logging Test thoroughly with various input scenarios The library supports configuration through environment variables: We welcome contributions! Please see: This project is licensed under the MIT License - see the LICENSE file for details.
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purl: pkg:golang/github.com/smallnest/langgraphgo
License: MIT
Latest release: about 1 month ago
First release: 2 months ago
Namespace: github.com/smallnest
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