Reference Implementations
A comprehensive guide to official templates, prebuilt agents, community projects, and real-world implementations
Table of Contents
LangChain maintains official starter templates for common use cases, available in both Python and JavaScript:
pip install "langgraph-cli[inmem]" --upgrade
langgraph new
LangGraph 0.3 introduced prebuilt agents for common patterns:
Application Purpose Repository Key Features ChatLangChain Documentation assistant GitHub RAG, semantic search, GenUI OpenGPTs GPT alternative platform GitHub 60+ LLM providers, PostgreSQL LangGraph UI Examples Generative UI showcase Examples React integration, custom components Agent Inbox Agent interaction hub Templates Real-time communication, interrupts
Project Purpose Repository Stars Features TrustCall Tenacious tool calling GitHub 766+ Robust tool execution Delve Taxonomy generation Awesome LangGraph - Unstructured data processing Nodeology Scientific workflows Awesome LangGraph - Research automation Breeze Agent Research system Awesome LangGraph - STORM-inspired research
Project Type Repository Description LlamaBot Web development Awesome LangGraph HTML/CSS/JS coding agent DeerFlow Research framework Awesome LangGraph Community-driven deep research LangGraph Agent Template Production boilerplate GitHub Dockerized infrastructure
Tool Purpose Repository Features LangGraph Builder Visual design Official Tools Cognitive architecture canvas LangGraph Generator Code generation Official Tools YAML to code conversion LangGraph Studio IDE & debugging GitHub Visual graph debugging
Company Use Case Implementation Details LinkedIn Internal tooling Multi-agent workflows for professional networking Uber Customer support Agent-based support ticket routing and resolution Replit Code assistance Development environment integration Elastic Threat detection Security orchestration and automated response Klarna Customer service Financial services automation AppFolio Property management Realm-X copilot for decision support
Pattern Companies Use Cases Supervisor Architecture LinkedIn, Elastic Task routing, security orchestration Swarm Patterns Uber, Klarna Distributed problem solving RAG + Agents Replit, AppFolio Knowledge-augmented assistance
System Repository Complexity Focus Area Open Deep Research GitHub High (117KB) Enterprise research workflows Ollama Deep Research GitHub Low (21KB) Local privacy-focused research
Key Features :
Dual Architecture : Demonstrates both workflow-first and agent-first patterns8+ Search APIs : Tavily, Perplexity, ArXiv, PubMed, Google, DuckDuckGo, Exa, LinkupEnterprise Features : Human-in-the-loop, quality grading, parallel processingProduction Ready : 3.5k stars, actively maintained
Key Features :
Local Deployment : Complete privacy with Ollama integrationMinimal Dependencies : Single model, streamlined workflowFast Iteration : 3-loop research cycles with reflectionCommunity Favorite : 7.5k stars, beginner-friendly
Level Examples Best For Beginner New Project, Basic Chatbot Learning, prototyping Intermediate ReAct Agent, Memory Agent Production apps, specific domains Advanced Multi-Agent Supervisor, Open Deep Research Enterprise, complex workflows Expert Custom Architectures, Platform Integration Specialized requirements
Use Case Recommended Implementations Key Examples Conversational AI New Project, Memory Agent ChatLangChain, Basic templates Tool-Using Agents ReAct Agent, Computer Use SQL Agent, Web search agents Research & Analysis Data Enrichment, Deep Research Open/Ollama Deep Research Multi-Agent Systems Supervisor, Swarm patterns Production implementations Knowledge Management Retrieval Agent, Agentic RAG Documentation assistants
Model Examples Characteristics Local/Privacy Ollama Deep Research On-premise, data control Cloud/Scalable LangGraph Platform Managed infrastructure Hybrid Self-hosted options Custom infrastructure
LangGraph Official Documentation LangGraph Templates Awesome LangGraph LangGraph 0.3 Release Production Case Studies LangChain GitHub
This landscape represents the complete ecosystem of LangGraph implementations, from simple templates to complex production systems. Each category offers different entry points and scaling paths for various use cases and expertise levels.
