rwjdk/agent-framework-samples: a C# sample set for the Microsoft Agent Framework
Samples demonstrating the Microsoft Agent Framework in C#
At a glance
- What is it?
- This repository is a teaching companion, not a library. It collects C# samples for the Microsoft Agent Framework, the successor to Semantic Kernel and AutoGen, and points at a Udemy course and a YouTube series for the walkthroughs. Here is what the repository actually contains and who should clone it.
- Who is it for?
- Adopt this repository if you already write C# and want runnable samples that match a video walkthrough of the Microsoft Agent Framework, and check the repository's own scaffolding before you copy any pattern into production code. Do not adopt it as a dependency, as an API reference, or as your only source of truth on the framework, because the repository itself is a sample collection whose written documentation stops at a README, a course link and a playlist.
- Can I use it commercially?
- Yes. MIT is a permissive licence: you can use, modify and sell software built on it, as long as you keep its copyright and licence notices.
- Is it still maintained?
- Yes. The repository last received commits 1 day ago.
- What is it written in?
- Mainly C#, according to GitHub's language statistics.
Answers come from the project's GitHub data, last synced on October 1, 2026, and from our analysis. They are not legal advice.
Editorial analysis
What rwjdk/agent-framework-samples is, and who it is written for
This is a sample collection, not a package. The README opens by describing it as "Samples demonstrating the Microsoft Agent Framework in C#", and the top-level layout backs that up: a src/ directory, a Samples.slnx solution file, a Directory.Packages.props for central package versioning, a global.json for SDK pinning, and a NuGet.Config. There is no published artefact to install and no library API to depend on.
The intended reader is a C# developer who has decided to work with the Microsoft Agent Framework and wants working code to read alongside it. The README frames the framework as the successor to Semantic Kernel and AutoGen, "two Generative AI Frameworks from Microsoft for building Multi-agent Applications", and notes that the framework is open source and usable from C# and Python while this repository explores C# only. That is a meaningful boundary. If you are writing Python, the samples here will not transfer directly, even though the underlying framework supports the language.
The repository also functions as course material. The README links a Udemy course and a YouTube playlist, and states that all samples in the repository are part of that video series. That shapes how the code is meant to be consumed: as the companion to a spoken explanation, not as a self-contained reference.
How the samples are organised: a solution, central packages, and a pinned SDK
The build scaffolding tells you more about the repository's intent than the README does. Directory.Packages.props is the central package management file used by modern .NET solutions, which means versions are declared once and referenced without a version attribute in individual project files. global.json pins the SDK, so the samples expect a particular .NET SDK band rather than whatever happens to be installed. NuGet.Config sits at the root and controls which package sources the restore step uses.
Samples.slnx is the solution file. The .slnx extension is the XML-based solution format, which is a newer alternative to the traditional .sln format. If your tooling is older than that format, opening the solution is the first thing that will fail, and it will fail before any agent code runs.
AGENTS.md, Anthropic-Claude.txt and xAi-Grok.txt at the root are instruction files for coding assistants rather than runtime configuration. They exist so that an AI coding tool working inside the repository follows the project's conventions. They have no bearing on how the samples behave when you run them, but they do hint that the author expects contributors and assistants to work inside the tree.
The framework itself is referenced from the Microsoft Agent Framework repository, which the README links. This repository does not vendor it. That means the samples track the framework's published packages, and a breaking change upstream can break the samples until they are updated.
Getting the samples running: clone, restore, build
The README gives no install steps beyond the links to the course and the video series, so the path below is read off the repository layout rather than from a documented quickstart. Treat it as the mechanical route to a build, not as an official guide.
The repository is public and its default branch is main, so it can be cloned from its GitHub URL. That URL is the one the README itself uses when it links to the project.
The build inputs are all at the root: Samples.slnx is the solution, global.json pins the SDK, NuGet.Config controls package sources, and Directory.Packages.props centralises package versions. Restore and build are therefore run against Samples.slnx with the standard .NET CLI, and if the SDK resolution fails immediately, global.json is the file that names the version to install.
Individual samples live under src/, and the README does not enumerate them, describe their prerequisites, or say which model provider each one targets. Expect to open each sample's project file and source before it will run, and expect some to need an API key or an Azure resource that the README never lists.
What the repository does not give you
The written documentation is thin by design. The README explains what the Microsoft Agent Framework is, points at the course and the playlist, and answers one concrete question: where the Comic Book E2E sample went. That sample was moved to its own repository, rwjdk/AIExample-ComicBookStore, "to make it easier to maintain". Anyone who followed an older link expecting to find it here will need to go there instead.
Nothing in the README describes the samples individually. There is no table of contents mapping directories to concepts, no list of prerequisites, no statement of which model providers are exercised, and no troubleshooting section. The repository does not document rollback, versioning policy, or how it tracks breaking changes in the framework it demonstrates. It also carries no releases, so there is no changelog to read.
The consequence is that the samples are only as useful as the video series beside them. If you read code faster than you watch video, you will spend time reconstructing context that the repository never wrote down. And because the framework is described as the successor to Semantic Kernel and AutoGen, patterns you know from either predecessor may not map onto what the samples show. The README does not provide a migration mapping.
Where this fits against Semantic Kernel and AutoGen
The README is explicit that the Microsoft Agent Framework succeeds Semantic Kernel and AutoGen, and that both are Microsoft frameworks for building multi-agent applications. That framing is the real comparison. Semantic Kernel is the older C#-first framework, and AutoGen is the research-oriented multi-agent framework. The Agent Framework is positioned as the successor to both, which means the practical difference for a C# team is not feature-by-feature but lifecycle: new work is expected to land in the successor rather than in the two predecessors.
That said, this repository is not the place to evaluate that claim. It demonstrates the framework; it does not benchmark it against Semantic Kernel or AutoGen, and the README offers no comparison table. If you are choosing between them today, the honest position is that this repository tells you what the successor looks like in C# and nothing about how it performs relative to what you already run.
One more constraint worth naming: the framework is open source in both C# and Python, but the README states this repository explores C# only. A polyglot team gets samples for one of its two languages here. The Python side is not covered, and the repository contains no Python sample directory despite the framework supporting it.
Maintenance, packaging and licence
The repository is not archived. Its last push was on 2026-09-06, which is recent enough that the samples are plausibly in step with the framework's current packages. There are no tagged releases, so there is no version history to consult and no upgrade path documented between states of the repository. Upgrading means pulling the branch and reconciling any framework API changes yourself.
The licence is MIT, which is permissive and permits reuse with attribution and the licence text preserved. That matters for the samples because MIT lets you lift patterns into your own codebase without a copyleft obligation. It does not extend to the Microsoft Agent Framework itself, which is a separate project with its own licence, and the README does not state what that is. Check the framework repository before assuming the terms are identical. This is a description of the licence file, not legal advice.
The maintenance cost you should budget for is the cost of a moving target. The samples depend on framework packages resolved through NuGet.Config and Directory.Packages.props, and the framework is described as the successor to two earlier projects. Successors in that position tend to change. Pinning your own copies and reading the framework's release notes is the work the repository does not do for you.
Editorial conclusion
Adopt this repository if you already write C# and want runnable samples that match a video walkthrough of the Microsoft Agent Framework, and check the repository's own scaffolding before you copy any pattern into production code. Do not adopt it as a dependency, as an API reference, or as your only source of truth on the framework, because the repository itself is a sample collection whose written documentation stops at a README, a course link and a playlist. Check the framework's own repository for the API surface you plan to rely on.
Frequently asked questions
What is the Microsoft Agent Framework that these samples demonstrate?
The README describes it as the successor to Semantic Kernel and AutoGen, two generative AI frameworks from Microsoft for building multi-agent applications. It is open source and can be used from C# and Python, though this repository explores C# only.
How do I install and run the samples in rwjdk/agent-framework-samples?
The README gives no install steps, so the path comes from the repository layout: the samples build from Samples.slnx, with global.json pinning the SDK and Directory.Packages.props centralising package versions. The README does not document which samples need credentials or configuration.
Is rwjdk/agent-framework-samples free to use?
The repository is licensed under MIT, which permits reuse provided the licence terms are honoured. That licence covers this sample repository, not the Microsoft Agent Framework itself, which is a separate project whose licence the README does not state.
Where did the Comic Book E2E sample go?
The README states it was moved to its own repository, rwjdk/AIExample-ComicBookStore, to make it easier to maintain. It is no longer part of this repository.
Official sources
Add this badge to your README
If you maintain this project, the badge below links readers to this analysis and shows its maintenance status from the daily GitHub snapshot. Paste the markdown into your README; add ?metric=license or ?metric=stars to the image URL for a different field.
[](https://hysenlabs.com/projects/rwjdk-agent-framework-samples)