Microsoft Agent Framework

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.

Open Source

API

Memory

B2B

For Developers

RAG

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Recent activity

What's happened with Microsoft Agent Framework lately

May 23, 2026
Score change
Rubric upgrade v3_0 → v3.1: score 11/32 → 10/3611 → 10/36(-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.
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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: May 23, 2026

Dimension Breakdown

Action Capability

Autonomy

Adaptation

State & Memory

Safety

How agenticness works →

Google ADK

Agenticness17/36·Adaptive Collaborator

Agent Frameworks & Orchestration

Agent Development Kit (ADK) is a framework for developers building AI agents and multi-agent workflows. It supports Python, TypeScript, Go, and Java, and is designed to run across different models and deployment setups.

API

Integrations

Multi-Agent

Transformers Agents

Agenticness8/36·Guided Assistant

Agent Frameworks & Orchestration

Documentation for the Xet content-addressed storage protocol and its reference implementations. It is aimed at developers building clients or tools that upload and download data from Hugging Face Hub using Xet.

MetaGPT

Agenticness12/36·Guided Assistant

Multi-Agent Orchestration

MetaGPT assigns different roles to LLMs to simulate a software team. It can turn a short requirement into artifacts like user stories, requirements, APIs, and code repositories.

Chrome Extension

Code Execution

File Access

ElizaOS

Agenticness12/36·Guided Assistant

Multi-Agent Orchestration

ElizaOS is an open-source platform for building, deploying, and managing AI agents. It includes a CLI, web UI, and plugin-based architecture so you can run agents locally and extend them with integrations and custom logic.

Integrations

Multi-Agent

B2B

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