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Semantic Kernel

Agenticness12/36·Guided Assistant

Build multi-agent apps with a model-agnostic SDK

Semantic Kernel is an open-source SDK for developers building AI agents and multi-agent workflows. It supports tool use, planning, memory, plugins, and local or cloud model backends.

MCP Support
Open Source
Multi-Agent
B2B
For Developers
Model Agnostic
For Teams
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Recent activity

What's happened with Semantic Kernel lately

  • Score change
    Rubric upgrade v3_0 → v3.1: score 10/32 → 12/3610 → 12/36(+2)

    Rubric upgrade: agenticness v3.0 (8 dims, /32) → v3.1 (9 dims, /36). Adds Dim 9 (Operator Sovereignty), splits Dim 6 into 6a/6b lenses, tightens Dim 4 autonomous-retry distinction. Not a product change — score shift reflects new dimension + recalibrated rubric, not a change in the tool. Fanout suppressed.

    See the news that prompted this

News mentions sourced from our news feed; score changes from periodic re-evaluations.

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About

What It Is

Semantic Kernel is an open-source SDK and orchestration framework for developers who want to build AI agents and multi-agent systems into their applications. According to the repository, it is positioned as an enterprise-ready way to integrate LLMs...

What to Know

Semantic Kernel is strongest as a developer framework, not as a finished end-user agent product. It gives you building blocks for agents, plugins, workflows, memory, and multi-agent coordination, but the actual behavior and safety controls depend on...

Key Features
Builds AI agents and multi-agent systems in code
Supports OpenAI, Azure OpenAI, Hugging Face, NVIDIA, and other model backends
Integrates tools/plugins via native functions, prompt templates, OpenAPI specs, and MCP
Includes memory and planning capabilities for agents
Orchestrates multi-agent workflows with specialist agents
Use Cases
Building a custom AI assistant inside a Python, .NET, or Java application
Orchestrating multi-agent workflows for business processes
Adding tool use and plugin-based actions to an agent
Agenticness: Guided Assistant

Executes tasks you assign, one step at a time, within narrow domains.

High evidence
Last evaluated: May 22, 2026

Dimension Breakdown

Action Capability
Autonomy
Adaptation
State & Memory
Safety
How agenticness works →

Categories

Multi-Agent Orchestration
Agent Frameworks & Orchestration
Pricing
  • Free / open source — full functionality available at no cost.
Details
github.com
AddedJanuary 16, 2026
RefreshedMarch 28, 2026
Agenticness
Guided Assistant
Quick Facts
DeploymentSelf-hosted
AutonomySemi-autonomous
Model supportMulti-model
Open sourceYes
MCP supportYes
Team supportEnterprise
Pricing modelFree / open source
Interfaceapi
Sources
WebGitHub - microsoft/semantic-kernel: Integrate cutting-edge LLM technology quickly and easily into your apps · GitHub
GHmicrosoft/semantic-kernel
GHREADME.md
WebDocumentation
Websemantic-kernel on PyPI
Last updated May 27, 2026
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