LangGraph vs Trellis (2026) — Which Is Better?

Comparing LangGraph and Trellis side by side to help you choose the right AI tool for your needs. LangGraph: Framework for building stateful multi-agent AI systems Trellis: AI data extraction from documents

LangGraph

Framework for building stateful multi-agent AI systems

LangGraph is free to use.

LangGraph Key Features

  • Graph-based agent orchestration
  • Stateful multi-actor applications
  • Human-in-the-loop support
  • Persistence and checkpointing
  • Streaming output

Best LangGraph Use Cases

  • Building stateful AI agents
  • Multi-step reasoning workflows
  • Human-supervised AI automation
  • Production-grade agent systems

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Trellis

AI data extraction from documents

Trellis offers a free plan with paid tiers for advanced features.

Trellis Key Features

  • AI data extraction platform
  • Document processing pipeline
  • Structured data from unstructured docs
  • Automated workflows
  • API integration

Best Trellis Use Cases

  • Extracting data from business documents
  • Automating document processing
  • Structured data from invoices and forms
  • Enterprise document intelligence

View full Trellis profile · Trellis alternatives · All Automation AI Tools

Pricing Comparison: LangGraph vs Trellis

LangGraph: LangGraph is free to use.

Trellis: Trellis offers a free plan with paid tiers for advanced features.

Frequently Asked Questions

Which is better: LangGraph or Trellis?

The best choice between LangGraph and Trellis depends on your use case. LangGraph — Framework for building stateful multi-agent AI systems. Trellis — AI data extraction from documents. Compare pricing and features above to find the best fit for your workflow.

Is LangGraph free?

LangGraph is free to use.

Is Trellis free?

Trellis offers a free plan with paid tiers for advanced features.

What are the best alternatives to LangGraph and Trellis?

Explore LangGraph alternatives and Trellis alternatives on Nextool.ai for more options.

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