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Microsoft Agent Framework

Agenticness11/36·Guided Assistant

An open-source SDK for building AI agents into your code

Semantic Kernel is Microsoft’s lightweight, open-source framework for adding AI models and agent workflows to C#, Python, and Java applications. It helps developers connect prompts, plugins, memory, and model calls into software that can take actions through existing APIs.

Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →

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Open Source
API
Memory
B2B
For Developers
RAG
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Recent activity

What's happened with Microsoft Agent Framework lately

  • Score change
    triggered by news
    Agenticness score 10 → 11 ↑1011/36(+1)

    Score re-evaluated after: Microsoft said this week it launched its first cybersecurity model, but its new agentic system's key capability is still hidden.

    See the news that prompted this
  • News
    Microsoft said this week it launched its first cybersecurity model, but its new agentic system's key capability is still hidden.

    Microsoft launched its first AI security model and a new security platform this week. The company is pushing deeper into AI-driven defense as threats rise and enterprise buyers want faster response tools. For those tracking agentic AI product launches, this signals a move from simple detection toward systems that can act inside security workflows. The missing detail is how far Microsoft will let the new platform go in automating incident response.

    via TechCrunch AI

  • Score change
    Rubric upgrade v3_0 → v3.1: score 11/32 → 10/361110/36(-1)

    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 development kit for developers who want to build AI-enabled applications and agents inside an existing codebase. It is designed for C#, Python, and Java, and Microsoft positions it as a middleware layer for...

What to Know

Semantic Kernel is more of a framework than a standalone agent product, so it does not do the work for you out of the box. Its value is in helping developers orchestrate model calls and function execution reliably, but you still need to implement...

Key Features
Open-source SDK for building AI agents
Supports C#, Python, and Java
Lets models call functions through plugins
Connects prompts with existing APIs
Includes memory and vector store connectors
Use Cases
Developers embedding AI agents into a C#, Python, or Java application
Teams wiring AI models to internal APIs and business functions
Enterprises building modular AI workflows with observability and guardrails
Agenticness: Guided Assistant

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

High evidence
Last evaluated: Jul 28, 2026

Dimension Breakdown

Action Capability
Autonomy
Planning
Adaptation
State & Memory
Reliability
Interoperability
Safety
Operator Sovereignty

Categories

Pricing
  • Free / open source — full functionality available at no cost.
Details
AddedApril 3, 2026
RefreshedApril 3, 2026
Agenticness
Quick Facts
DeploymentSelf-hosted
AutonomySemi-autonomous
Model supportMulti-model
Open sourceYes
Team supportEnterprise
Pricing modelFree / open source
Interfaceapi
Sources
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