AI · head to head
LangGraph vs Lindy

Lindy
AI
AI teammate that automates work across your entire software stack
- From
- Free
- Rated
- -
The short version
- Each has a real cost: LangGraph steeper learning curve compared to high-level abstractions; Lindy requires per-user subscription, which scales costs with team size
- They diverge on capability: LangGraph covers Human-in-the-loop controls, Lindy covers Slack integration.
Where they differ
Only the attributes on which LangGraph and Lindy actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (AI).
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 Lindy
- Slack integration
- Email automation
- Meeting transcription
- Scheduled routines
- 1,000+ app integrations
- Skill library
- Editable memory
- MCP 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 Lindy
- Designing multi-agent systems for complex tasksnot Lindy
- Implementing human oversight in autonomous systemsnot Lindy
- Creating reliable agentic applications at scalenot Lindy
Lindy
- Automating email and calendar management across teamsnot LangGraph
- Transcribing and summarizing meetings automaticallynot LangGraph
- Updating CRM systems with meeting notes and leadsnot LangGraph
- Generating daily reports and weekly briefsnot LangGraph
- Processing structured data from multiple applicationsnot 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
Lindy
- Requires per-user subscription, which scales costs with team size
- Limited free trial period of 7 days may not allow full evaluation
- Credit system complexity could be confusing for new users
- Not designed for technical teams as primary tool
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
Lindy
Free- Free TrialFree
- 7-day free trial for new team members joining via Slack
- Plus$29.99/month
- 3,000 credits per month
- Slack integration
- Email automation
- Pro$99.99/month
- 15,000 credits per month
- All Plus features
- Advanced automation
- Max$199.99/month
- 35,000 credits per month
- All Pro features
- Priority 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.
Choose Lindy if
- You need slack integration.
- You want to start without paying.
- You work on Web, Slack, Email, Mobile.
- You also want email automation.
Questions people ask
- Is LangGraph or Lindy better?
- Neither clearly leads. LangGraph starts at Free and Lindy at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, LangGraph or Lindy?
- LangGraph starts at Free and Lindy at Free.
- Does LangGraph or Lindy run on more platforms?
- LangGraph runs on Python, JavaScript, Web. Lindy runs on Web, Slack, Email, Mobile.
- 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 Lindy is typically brought in for.
- What can LangGraph do that Lindy cannot?
- LangGraph covers Human-in-the-loop controls, Customizable workflows, Memory management, Token-by-token streaming. Lindy covers Slack integration, Email automation, Meeting transcription, Scheduled routines.
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.
SourceLindy: How does Lindy maintain data privacy and security?
Lindy is SOC 2 Type II, GDPR, HIPAA, and PIPEDA compliant. Data is encrypted in transit and at rest. The platform never sells your data or uses it to train models. Enterprise plans include signed BAAs and audit logs.
SourceLangGraph: What programming languages does LangGraph support?
LangGraph provides first-class support for Python and JavaScript, enabling cross-platform agent development.
SourceLindy: Can we start with a free trial?
New team members joining through Slack receive a 7-day free trial before being billed. Direct signups are charged immediately. There is no permanent free tier after the trial.
SourceLangGraph: 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.
SourceLindy: How many applications can Lindy integrate with?
Lindy connects to over 1,000 applications including Gmail, Notion, HubSpot, GitHub, Stripe, and others, with support for Model Context Protocol servers for custom integrations.
SourceRelated pages
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