LLM Orchestration

Semantic Kernel

A library for prompt templating and function chaining with AI.

Status
Generally available
Last checked
Checked · Oct 16, 2026
License
Open source
Pricing
Free tier · from $0

What it is

Semantic Kernel is a Python/C#/Java library from Microsoft that supports prompt templating, function chaining, vectorized memory, and intelligent planning. It enables developers to create sophisticated applications leveraging large language models in a structured way.

Semantic Kernel stands out as a cross-language library offering advanced prompt templating, function chaining, and intelligent planning features specifically designed to work with large language models.

When it fits — and when it doesn’t

A good fit for

  • Teams building AI-powered applications who need a robust library for prompt management and function chaining

  • Projects requiring integration with large language models in Python, C#, or Java environments

  • Developers looking to implement vectorized memory and intelligent planning features

Look elsewhere if

  • Projects that require real-time streaming capabilities (batch-only architecture)

  • Teams needing a cloud-hosted service for AI orchestration

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support beyond Python/C#/Java

    Official SDKs only available for Python, C#, and Java; other languages require community support

  2. 02

    Performance issues with large datasets in vectorized memory

    Known performance degradation when handling extensive vector databases

What it does well

  • Prompt templating and function chaining

  • Vectorized memory support

  • Intelligent planning capabilities

  • Cross-language support (Python, C#, Java)

  • Integration with large language models

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Semantic Kernel

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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