Softwr

AI · head to head

LangGraph vs Refact

LangGraph logo

LangGraph

AI

Agent runtime and orchestration framework

From
Free
Rated
-
Full reviewWebsite
Refact logo

Refact

Developer Tools

Autonomous AI coding agent for development tasks

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: LangGraph steeper learning curve compared to high-level abstractions; Refact requires configuration for optimal performance
  • They diverge on capability: LangGraph covers Human-in-the-loop controls, Refact covers Autonomous agent workflows.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which LangGraph and Refact actually diverge.

Attributes where LangGraph and Refact differ
AttributeLangGraphRefact
Pricing modelOpen source and free, with optional managed platformFreemium with paid tiers
PlatformsPython, JavaScript, WebVS Code, Web
CategoryAIDeveloper Tools
FoundedUnknown2023

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in LangGraph

  • Human-in-the-loop controls
  • Customizable workflows
  • Memory management
  • Token-by-token streaming
  • Low-level control
  • Multi-agent support

Only in Refact

  • Autonomous agent workflows
  • IDE chat
  • Real-time code completions
  • GitHub integration
  • Database integration
  • On-premise deployment
  • Multi-LLM support
  • 25+ language support

What people use each for

The jobs each tool is most often brought in to do.

LangGraph

  • Building production AI agents with auditable workflowsnot Refact
  • Designing multi-agent systems for complex tasksnot Refact
  • Implementing human oversight in autonomous systemsnot Refact
  • Creating reliable agentic applications at scalenot Refact

Refact

  • Autonomous code generation for development tasksnot LangGraph
  • End-to-end bug fixes and refactoringnot LangGraph
  • Multi-language software development accelerationnot LangGraph
  • Enterprise development with data privacy requirementsnot LangGraph

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

LangGraph

  • Steeper learning curve compared to high-level abstractions
  • Requires understanding of graph-based architecture
  • Debugging complex workflows can be challenging
  • Not optimized for simple, one-off use cases

Refact

  • Requires configuration for optimal performance
  • On-premise deployment adds operational complexity
  • Free tier limited by daily agent request quota
  • Coin system adds complexity to cost calculation

Pricing, plan by plan

LangGraph

Free
  • Open SourceFree
    • MIT-licensed framework
    • Self-hosted deployment
    • Full API access
  • LangGraph Platform$35/month
    • Managed hosting
    • Enterprise deployment
    • Integrated tooling

Refact

Free
  • FreeFree
    • Limited daily agent usage
    • Unlimited completions
    • 2,000 coins for agent and chat
  • Pro$10/month
    • 40 daily agent requests
    • 64k context window
    • 10,000 coins monthly
  • Enterprise$undefined/custom
    • On-premise deployment
    • Custom coin allocation
    • Fine-tuning support

Which should you pick?

Choose LangGraph if

  • You need human-in-the-loop controls.
  • You want to start without paying.
  • You work on Python, JavaScript, Web.
  • You also want customizable workflows.
LangGraph review

Choose Refact if

  • You need autonomous agent workflows.
  • You want to start without paying.
  • You work on VS Code, Web.
  • You also want ide chat.
Refact review

Questions people ask

Is LangGraph or Refact better?
Neither clearly leads. LangGraph starts at Free and Refact at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, LangGraph or Refact?
LangGraph starts at Free and Refact at Free.
Does LangGraph or Refact run on more platforms?
LangGraph runs on Python, JavaScript, Web. Refact runs on VS Code, Web.
Can I use LangGraph for free?
Both have a free tier, so you can try either at no cost before committing.
What is LangGraph best used for?
LangGraph is most often used for building production ai agents with auditable workflows, designing multi-agent systems for complex tasks, implementing human oversight in autonomous systems, creating reliable agentic applications at scale. Of those, building production ai agents with auditable workflows and designing multi-agent systems for complex tasks are not what Refact is typically brought in for.
What can LangGraph do that Refact cannot?
LangGraph covers Human-in-the-loop controls, Customizable workflows, Memory management, Token-by-token streaming. Refact covers Autonomous agent workflows, IDE chat, Real-time code completions, GitHub integration.

Answered from the vendors’ own pages

LangGraph: Is LangGraph free to use?

Yes. The core LangGraph framework is MIT-licensed and completely free. You only pay if you use the optional managed LangGraph Platform for hosting.

Source
Refact: How many programming languages does Refact support?

Refact supports 25+ programming languages including Python, JavaScript, Go, Rust, Java, C++, and many others.

Source
LangGraph: What programming languages does LangGraph support?

LangGraph provides first-class support for Python and JavaScript, enabling cross-platform agent development.

Source
Refact: Can I deploy Refact on-premises?

Yes. Refact offers on-premise deployment options for organizations requiring complete data control and privacy.

Source
LangGraph: Can I deploy LangGraph in production?

Yes. LangGraph can be self-hosted on your own infrastructure or deployed through LangGraph Platform with enterprise support and SLA guarantees.

Source
Refact: What LLMs does Refact support?

Refact works with multiple LLMs including Claude, GPT-4, and open-source models, giving you flexibility in model selection.

Source
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