---
title: "autogen vs MauiSamples"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/microsoft-autogen-vs-vladislavantonyuk-mauisamples"
tools: ["microsoft-autogen", "vladislavantonyuk-mauisamples"]
---

# autogen vs MauiSamples

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick autogen when autogen is primarily Python; MauiSamples is C#; pick MauiSamples when mauiSamples is primarily C#; autogen is Python.

[autogen](https://microsoft.github.io/autogen/) reports 60k GitHub stars, 9.0k forks, and 945 open issues, last pushed Apr 15, 2026. [MauiSamples](https://vladislavantonyuk.azurewebsites.net/articles?categoryName=.NET%20MAUI/Xamarin) has 913 stars, 213 forks, and 9 open issues, last pushed Jul 7, 2026. Figures are from public GitHub metadata via [autogen's repository](https://github.com/microsoft/autogen) and [MauiSamples's repository](https://github.com/VladislavAntonyuk/MauiSamples).

| | [autogen](/tools/microsoft-autogen.md) | [MauiSamples](/tools/vladislavantonyuk-mauisamples.md) |
| --- | --- | --- |
| Tagline | A programming framework for agentic AI | .NET MAUI Samples |
| Stars | 59,658 | 913 |
| Forks | 8,983 | 213 |
| Open issues | 945 | 9 |
| Language | Python | C# |
| Adopt for | AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models. | - |
| Persona | - | - |
| Runtime | - | - |
| License | CC-BY-4.0 | MIT |
| Categories | AI Agents, LLM Frameworks | LLM Frameworks, Speech & Audio, Vector Databases |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [autogen](/tools/microsoft-autogen.md) | [MauiSamples](/tools/vladislavantonyuk-mauisamples.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Very active (96%) |
| Days since push | 87d | 3d |
| Open issues (now) | 945 | 9 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/microsoft-autogen/trust.md) | [trust report](/tools/vladislavantonyuk-mauisamples/trust.md) |

## Decision facts: autogen

- **Requirements:** Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.
- **Adopt for:** AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models.

## Choose when

### Choose autogen if…

- autogen is primarily Python; MauiSamples is C#.
- License: autogen is CC-BY-4.0, MauiSamples is MIT.
- Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure..
- Tags unique to autogen: agentic-agi, agents, ai, autogen.
- Also covers AI Agents.
- You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.

### Choose MauiSamples if…

- MauiSamples is primarily C#; autogen is Python.
- License: MauiSamples is MIT, autogen is CC-BY-4.0.
- Tags unique to MauiSamples: azure, blazor, dotnet, dotnet-maui.
- Also covers Speech & Audio, Vector Databases.

## When NOT to use autogen

- If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework.
- When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited.
- You need solutions which do not involve additional installations for server components such as `playwright/mcp`, as AutoGen requires this setup for certain functionalities.

## When NOT to use MauiSamples

- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

## Common questions

### What is the difference between autogen and MauiSamples?

autogen: A programming framework for agentic AI. MauiSamples: .NET MAUI Samples. See the comparison table for live GitHub stats and shared categories.

### When should I choose autogen over MauiSamples?

Choose autogen over MauiSamples when autogen is primarily Python; MauiSamples is C#; License: autogen is CC-BY-4.0, MauiSamples is MIT; Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.; Tags unique to autogen: agentic-agi, agents, ai, autogen; Also covers AI Agents; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.

### When should I choose MauiSamples over autogen?

Choose MauiSamples over autogen when MauiSamples is primarily C#; autogen is Python; License: MauiSamples is MIT, autogen is CC-BY-4.0; Tags unique to MauiSamples: azure, blazor, dotnet, dotnet-maui; Also covers Speech & Audio, Vector Databases.

### When should I avoid autogen?

If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework. When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited. You need solutions which do not involve additional installations for server components such as `playwright/mcp`, as AutoGen requires this setup for certain functionalities.

### When should I avoid MauiSamples?

LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

### Is autogen or MauiSamples more popular on GitHub?

autogen has more GitHub stars (59,658 vs 913). Stars measure visibility, not whether either tool fits your constraints.

### Are autogen and MauiSamples open source?

Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, MauiSamples: MIT).

### Where can I find alternatives to autogen or MauiSamples?

GraphCanon lists graph-backed alternatives at [autogen alternatives](/tools/microsoft-autogen/alternatives) and [MauiSamples alternatives](/tools/vladislavantonyuk-mauisamples/alternatives) ([autogen markdown twin](/tools/microsoft-autogen/alternatives.md), [MauiSamples markdown twin](/tools/vladislavantonyuk-mauisamples/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/microsoft-autogen-vs-vladislavantonyuk-mauisamples.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, autogen or MauiSamples?

autogen: Steady. MauiSamples: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for autogen and MauiSamples?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autogen trust report](/tools/microsoft-autogen/trust); [MauiSamples trust report](/tools/vladislavantonyuk-mauisamples/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=microsoft-autogen`](/api/graphcanon/graph?tool=microsoft-autogen)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
