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AI · head to head

Lindy vs Semantic Kernel

Lindy logo

Lindy

AI

AI teammate that automates work across your entire software stack

From
Free
Rated
-
Full reviewWebsite
Semantic Kernel logo

Semantic Kernel

Machine Learning

Model-agnostic SDK for AI orchestration

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Lindy requires per-user subscription, which scales costs with team size; Semantic Kernel steep learning curve for advanced features
  • They diverge on capability: Lindy covers Slack integration, Semantic Kernel covers Multi-model support.

Where they differ

Only the attributes on which Lindy and Semantic Kernel actually diverge.

Attributes where Lindy and Semantic Kernel differ
AttributeLindySemantic Kernel
Pricing modelPer-user subscription with shared credit poolOpen source, no pricing
PlatformsWeb, Slack, Email, MobilePython, .NET, Java
CategoryAIMachine Learning

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 Lindy

  • Slack integration
  • Email automation
  • Meeting transcription
  • Scheduled routines
  • 1,000+ app integrations
  • Skill library
  • Editable memory
  • MCP support

Only in Semantic Kernel

  • Multi-model support
  • Agent framework
  • Multi-agent systems
  • Plugin ecosystem
  • Vector database integration
  • Multimodal support
  • Local model support
  • Enterprise observability

What people use each for

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

Lindy

  • Automating email and calendar management across teamsnot Semantic Kernel
  • Transcribing and summarizing meetings automaticallynot Semantic Kernel
  • Updating CRM systems with meeting notes and leadsnot Semantic Kernel
  • Generating daily reports and weekly briefsnot Semantic Kernel
  • Processing structured data from multiple applicationsnot Semantic Kernel

Semantic Kernel

  • Building enterprise AI applications with LLM integrationnot Lindy
  • Creating multi-agent systems for complex workflowsnot Lindy
  • Developing AI-powered chatbots and assistantsnot Lindy
  • Implementing RAG systems with vector databasesnot Lindy

Where each one falls short

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

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

Semantic Kernel

  • Steep learning curve for advanced features
  • Documentation focuses on Azure cloud services
  • Configuration complexity for multi-model scenarios
  • Requires understanding of AI/LLM concepts

Pricing, plan by plan

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

Semantic Kernel

Free
  • Open SourceFree
    • MIT license
    • Full framework access
    • All language SDKs

Which should you pick?

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.
Lindy review

Choose Semantic Kernel if

  • You need multi-model support.
  • You want to start without paying.
  • You work on Python, .NET, Java.
  • You also want agent framework.
Semantic Kernel review

Questions people ask

Is Lindy or Semantic Kernel better?
Neither clearly leads. Lindy starts at Free and Semantic Kernel at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Lindy or Semantic Kernel?
Lindy starts at Free and Semantic Kernel at Free.
Does Lindy or Semantic Kernel run on more platforms?
Lindy runs on Web, Slack, Email, Mobile. Semantic Kernel runs on Python, .NET, Java.
Can I use Lindy for free?
Both have a free tier, so you can try either at no cost before committing.
What is Lindy best used for?
Lindy is most often used for automating email and calendar management across teams, transcribing and summarizing meetings automatically, updating crm systems with meeting notes and leads, generating daily reports and weekly briefs. Of those, automating email and calendar management across teams and transcribing and summarizing meetings automatically are not what Semantic Kernel is typically brought in for.
What can Lindy do that Semantic Kernel cannot?
Lindy covers Slack integration, Email automation, Meeting transcription, Scheduled routines. Semantic Kernel covers Multi-model support, Agent framework, Multi-agent systems, Plugin ecosystem.

Answered from the vendors’ own pages

Lindy: 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.

Source
Semantic Kernel: What LLM providers does Semantic Kernel support?

Semantic Kernel supports OpenAI, Azure OpenAI, Hugging Face, Nvidia, and other providers through extensible model implementations.

Source
Lindy: 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.

Source
Semantic Kernel: Can I run Semantic Kernel locally?

Yes. Semantic Kernel supports local models through Ollama, LMStudio, and ONNX for complete data control and offline operation.

Source
Lindy: 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.

Source
Semantic Kernel: Is Semantic Kernel free?

Yes. Semantic Kernel is MIT-licensed open source and completely free. You only pay for external LLM APIs you use.

Source
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