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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
iOS
API
Memory
B2B
For Developers
RAG

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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 connecting AI models to application logic and external APIs.

The documentation emphasizes enterprise use cases, including modular AI workflows, observability, and security-oriented hooks and filters. To get started, you install the SDK in your application, follow the quick start guides, and then connect your own code as plugins or functions that the model can call.

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 the surrounding application, connectors, and business logic.

The docs suggest it is model-flexible and future-proof, but they do not clearly spell out every supported model provider on this page. Pricing is not described in the crawled content beyond its open-source nature, and MCP support is not mentioned. If you are looking for a no-code agent tool or a finished end-user assistant, this is probably not the right fit.

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: Apr 3, 2026

Dimension Breakdown

Action Capability
Autonomy
Adaptation
State & Memory
Safety

Categories

Pricing
  • Free: Open-source SDK; pricing details beyond that are not publicly available in the crawled content.
  • Enterprise: Enterprise-oriented documentation and components are mentioned, but no separate enterprise pricing is listed.
Details
AddedApril 3, 2026
RefreshedApril 3, 2026
Quick Facts
DeploymentSelf-hosted
AutonomySemi-autonomous
Model supportMulti-model
Open sourceYes
Team supportEnterprise
Pricing modelFree / open source
Interfaceapi
Sources

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
+4

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
+5