20+ Production LangGraph Patterns You Won't Find in the Docs
Stop piecing together LangGraph from scattered tutorials. Get battle-tested patterns for stateful agents, human-in-the-loop workflows, and production deployment.
$49 — PDF + code repository
Get Notified at LaunchThe Problem
LangGraph documentation covers APIs but not production patterns. You can read every page and still not know how to build a reliable agent.
Tutorial agents work on happy paths. The moment you add error recovery, state persistence, or human approval steps, everything breaks.
Debugging stateful graphs is painful. When an agent fails 8 steps in, you need patterns for observability, checkpointing, and replay — not more print statements.
What's Inside — 20+ Production Recipes
Each recipe includes runnable code, architecture diagrams, and production trade-offs.
Graph Architecture
Preview available- Sequential chains
- Parallel fan-out/fan-in
- Conditional branching
- Cyclic graphs with exit conditions
State Management
Preview available- Checkpointing strategies
- State persistence & recovery
- Cross-graph state sharing
- Memory management patterns
Human-in-the-Loop
Preview available- Approval gates
- Escalation paths
- Interactive feedback loops
- Supervisor agent patterns
Streaming & Real-Time
Preview available- Token-level streaming
- Progress reporting
- Intermediate result display
- WebSocket integration
Production Deployment
Coming soon- Docker containerization
- Monitoring & observability
- Error handling & retry
- Horizontal scaling patterns
What You Get
Production patterns extracted from real LangGraph deployments, not toy examples.
Graph Architecture Patterns
Sequential, parallel, conditional, and cyclic graph designs with trade-offs.
State Management Recipes
Checkpointing, persistence, and state recovery for long-running agents.
Human-in-the-Loop Workflows
Approval gates, escalation paths, and interactive agent patterns.
Streaming & Real-Time Output
Token streaming, intermediate results, and progress reporting.
Production Deployment Guide
Docker, monitoring, error handling, and scaling patterns.
Full Code Repository
Every pattern as runnable code with tests and documentation.
Already Using LangGraph? Start with Our Free Guides
5 free guides to build your foundation before the cookbook launches.
Who This Is For
AI Engineers
Building production agent systems and need patterns beyond the basics.
Backend Engineers
Adding AI agent capabilities to existing applications and services.
Tech Leads
Evaluating LangGraph for your team and need architecture guidance.
Get Notified When It Launches
Early-bird pricing + first access when the cookbook launches.
Common Questions
When will the cookbook be available?
We're targeting Q2 2026. Sign up to get notified the moment it launches — plus early-bird pricing.
What LangGraph version does this cover?
The cookbook will target the latest stable LangGraph release at launch time. All patterns will be tested against the current API.
Is this just the LangGraph docs repackaged?
No. The docs explain what the API does. The cookbook shows how to build production systems — error recovery, state persistence, human-in-the-loop, and deployment patterns that aren't in the docs.
What format is it?
PDF guide + companion code repository. Every pattern includes runnable code with tests.
Do I need LangChain experience?
Basic familiarity with LangChain helps but isn't required. Each pattern is self-contained with clear explanations of the LangGraph concepts used.
Don't miss the launch.
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