Directory/Agent platforms/Semantic Kernel
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Semantic Kernel

Researched

Semantic Kernel helps build AI agents and future-proof AI solutions in Python, .NET, or Java. It exposes Kernel, Plugins, Memory, and Agent Framework concepts, with enterprise components including Filters, Security, and OpenTelemetry-based Observability.

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Homepage · captured Jul 22, 2026
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At a glance

In one minute

Start here for the decision-making essentials: what Semantic Kernel does, who it is for, how it is accessed, and the first-party sources behind this profile.

PricingCurrent signal

See official pricing

Platforms
Web
API accessNot public
FoundedNot disclosed by source
AvailabilityWeb / remote
LicenseProprietary

Best suited to

Source-backed fit
Teams building AI agents in Python, .NET, or Java Enterprises needing AI security and permission validation Developers wanting OpenTelemetry-compatible observability Organizations building future-proof AI solutions Projects requiring RAG or PII redaction via prompt filters Teams needing distributed tracing across services
Decision support

Common questions and adoption checks

6 sourced answers

Short answers to the questions buyers and builders commonly ask about Semantic Kernel. Each answer cites the shared ledger below, where every source is listed once.

01What does Semantic Kernel say it can do?

Enables building robust, future-proof AI solutions that evolve with technological advancem · Filters enhance security by providing control and visibility over how and when functions r · Prompt Render Filters run before prompt rendering and can view and modify the prompt sent · Prompt Render Filters can prevent prompt submission to the AI by overriding the function r

Learn to build robust, future-proof AI solutions that evolve with technological advancements.
02What use cases does Semantic Kernel describe?

Filters can validate permissions before an approval flow begins so only select users can t

filters are leveraged to validate permissions before an approval flow begins.
03What integrations does Semantic Kernel document?

Step-by-step getting-started notebooks for Python and C# developers · OpenTelemetry

If you're a Python or C# developer, you can quickly get started with our notebooks
04What security or data-control information does Semantic Kernel publish?

Security is provided as an enterprise component alongside Observability and Filters

Enterprise Components Observability Security Filters
05What support information does Semantic Kernel publish?

Users can engage with the Semantic Kernel community and blog for updates and contact · Reporters should receive an initial response to security vulnerability reports within 24 h

Read the Semantic Kernel blog Get in touch with the community
06Which languages does Semantic Kernel list?

Semantic Kernel provides a 'Supported Languages' topic under Getting Started, indicating m · Python, .NET, and Java

Supported Languages
Decision guide

Capabilities and operating fit

Agent platforms

This profile connects the jobs Semantic Kernel is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.

Common use cases

  • Build AI agents with back-and-forth conversations
  • Validate permissions before an approval flow begins
  • Track activities across services with distributed tracing
  • View and modify prompts for RAG or PII redaction
  • Override function results to enable semantic caching
  • Monitor kernel function execution time and token consumption

Access signals

Pricing model
See official pricing
API
Not publicly listed
Source links
6 recorded
Source-backed

Verified facts

Updated July 22, 2026

Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.

Official website

HTTP 200 verified twice

[1]learn.microsoft.com/en-us/semantic-kernel
First-party description

Semantic Kernel documentation | Microsoft Learn

[1]learn.microsoft.com/en-us/semantic-kernel
Source-supported facts

Enables building robust, future-proof AI solutions that evolve with technological advancem · Exposes core concepts including Kernel, Plugins, Memory, Frameworks, Process Framework, an · Security is provided as an enterprise component alongside Observability and Filters

[1]learn.microsoft.com/en-us/semantic-kernel
Capability

Enables building robust, future-proof AI solutions that evolve with technological advancements

[1]learn.microsoft.com/en-us/semantic-kernel
Platform

Semantic Kernel exposes core concepts including Kernel, Plugins, Memory, Frameworks, Process Framework, and Agent Framework

[1]learn.microsoft.com/en-us/semantic-kernel
Security

Security is provided as an enterprise component alongside Observability and Filters

[1]learn.microsoft.com/en-us/semantic-kernel
Language

Semantic Kernel provides a 'Supported Languages' topic under Getting Started, indicating multi-language support

[1]learn.microsoft.com/en-us/semantic-kernel
Support

Users can engage with the Semantic Kernel community and blog for updates and contact

[1]learn.microsoft.com/en-us/semantic-kernel
View 17 more verified facts
Support

Reporters should receive an initial response to security vulnerability reports within 24 hours.

[5]learn.microsoft.com/en-us/semantic-kernel/support/SECURITY
Capability

Filters enhance security by providing control and visibility over how and when functions run, supporting enterprise readiness and responsible AI.

[4]learn.microsoft.com/en-us/semantic-kernel/concepts/enterprise-readiness/filters
Use case

Filters can validate permissions before an approval flow begins so only select users can trigger the process.

[4]learn.microsoft.com/en-us/semantic-kernel/concepts/enterprise-readiness/filters
Capability

Prompt Render Filters run before prompt rendering and can view and modify the prompt sent to the AI, for example for RAG or PII redaction.

[4]learn.microsoft.com/en-us/semantic-kernel/concepts/enterprise-readiness/filters
Capability

Prompt Render Filters can prevent prompt submission to the AI by overriding the function result, enabling scenarios such as Semantic Caching.

[4]learn.microsoft.com/en-us/semantic-kernel/concepts/enterprise-readiness/filters
Capability

Build AI agents

[2]learn.microsoft.com/en-us/semantic-kernel/get-started/quick-start-guide
Capability

Hold back-and-forth conversations with an AI

[2]learn.microsoft.com/en-us/semantic-kernel/get-started/quick-start-guide
Capability

Give AI agents the ability to run user code

[2]learn.microsoft.com/en-us/semantic-kernel/get-started/quick-start-guide
Capability

Watch the AI create plans on the fly

[2]learn.microsoft.com/en-us/semantic-kernel/get-started/quick-start-guide
Language

Python, .NET, and Java

[2]learn.microsoft.com/en-us/semantic-kernel/get-started/quick-start-guide
Integration

Step-by-step getting-started notebooks for Python and C# developers

[2]learn.microsoft.com/en-us/semantic-kernel/get-started/quick-start-guide
Capability

Semantic Kernel emits logs, metrics, and traces compatible with the OpenTelemetry standard.

[3]learn.microsoft.com/en-us/semantic-kernel/concepts/enterprise-readiness/observability
Integration

OpenTelemetry

[3]learn.microsoft.com/en-us/semantic-kernel/concepts/enterprise-readiness/observability
Capability

Supports distributed tracing to track activities across different services and within Semantic Kernel.

[3]learn.microsoft.com/en-us/semantic-kernel/concepts/enterprise-readiness/observability
Capability

Emits metrics from kernel functions and AI connectors, including kernel function execution time and token consumption.

[3]learn.microsoft.com/en-us/semantic-kernel/concepts/enterprise-readiness/observability
Capability

Logs meaningful events and errors from the kernel, kernel plugins and functions, and AI connectors.

[3]learn.microsoft.com/en-us/semantic-kernel/concepts/enterprise-readiness/observability
Source-supported facts

Learn to build robust, future-proof AI solutions that evolve with technological advancemen · Concepts include Kernel, Plugins, Memory, Frameworks, Process Framework, Agent Framework · Enterprise Components include Observability, Security, Filters

[1]learn.microsoft.com/en-us/semantic-kernel
Practical capabilities

What it helps with

8 documented areas

A concise view of the jobs, capabilities and integrations described in the recorded product sources.

Use case

Build AI agents with back-and-forth conversations

Use case

Validate permissions before an approval flow begins

Use case

Track activities across services with distributed tracing

Use case

View and modify prompts for RAG or PII redaction

Use case

Override function results to enable semantic caching

Use case

Monitor kernel function execution time and token consumption

Use case

Give AI agents the ability to run user code

Use case

Watch the AI create plans on the fly

Availability

Where it runs and where to get it

Source checked

Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.

Cost / license

See official pricing

Platforms

Semantic Kernel exposes core concepts including Kernel, Plugins, Memory, Frameworks, Proce
Implementation details

Adoption notes

DeploymentNot disclosed by source
LicenseNot disclosed by source
Model supportNot disclosed by source
Data controlSecurity is provided as an enterprise component alongside Observability and Filters
Learning curveIntermediate
Primary use casesBuild AI agents with back-and-forth conversations, Validate permissions before an approval flow begins, Track activities across services with distributed tracing, View and modify prompts for RAG or PII redaction, Override function results to enable semantic caching, Monitor kernel function execution time and token consumption, Give AI agents the ability to run user code, Watch the AI create plans on the fly, Filters can validate permissions before an approval flow begins so only select users can t

What to verify before adopting

    Evolution and major updates

    Semantic Kernel timeline

    A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.

    Research in progress
    Scheduled for research

    Building a reliable release history.

    This profile is being checked for dated releases and material product changes. Nothing appears here until the exact date and event can be verified from a recorded source.

    Dated event Short explanation Original source
    Citation ledger

    Recorded sources

    6 unique pages

    Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.

    1. 1learn.microsoft.com/en-us/semantic-kernel 9 facts · 4 answers · Official site
    2. 2learn.microsoft.com/en-us/semantic-kernel/get-started/quick-start-guide 6 facts · 3 answers · Official site
    3. 3learn.microsoft.com/en-us/semantic-kernel/concepts/enterprise-readiness/observability 5 facts · 2 answers · Official site
    4. 4learn.microsoft.com/en-us/semantic-kernel/concepts/enterprise-readiness/filters 4 facts · 2 answers · Official site
    5. 5learn.microsoft.com/en-us/semantic-kernel/support/SECURITY 1 fact · 1 answer · Security
    6. 6learn.microsoft.com/en-us/lifecycle/faq/internet-explorer-microsoft-edge Official site
    Research status24 substantive facts · 6 source pages · quality score 88/100