autogen vs semantic-kernel

Common questions

What is the difference between autogen and semantic-kernel?

autogen: A programming framework for agentic AI. semantic-kernel: Integrate cutting-edge LLM technology quickly and easily into your apps. See the comparison table for live GitHub stats and shared categories.

When should I choose autogen over semantic-kernel?

Choose autogen over semantic-kernel when autogen is primarily Python; semantic-kernel is C#; License: autogen is CC-BY-4.0, semantic-kernel 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.; Semantic Kernel is the predecessor to Microsoft Agent Framework (MAF), and both Semantic Kernel and autogen were part of Microsoft's efforts in building multi-agent AI applications; Tags unique to autogen: agentic-agi, agents, autogen, autogen-ecosystem; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.

When should I choose semantic-kernel over autogen?

Choose semantic-kernel over autogen when semantic-kernel is primarily C#; autogen is Python; License: semantic-kernel is MIT, autogen is CC-BY-4.0; Semantic Kernel is the predecessor to Microsoft Agent Framework (MAF), and both Semantic Kernel and autogen were part of Microsoft's efforts in building multi-agent AI applications; Tags unique to semantic-kernel: artificial-intelligence, llm, openai, sdk; - When you are looking to integrate cutting-edge language models (LLMs) directly from major providers like Azure OpenAI or OpenAI into your application.

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 semantic-kernel?

- If you require support exclusively in programming languages not currently offered by Semantic Kernel (for example, Ruby, Go). - When your project strictly avoids frameworks associated with Microsoft technologies and prefers more independent or community-driven alternatives.

Is autogen or semantic-kernel more popular on GitHub?

autogen has more GitHub stars (60,139 vs 28,427). Stars measure visibility, not whether either tool fits your constraints.

Are autogen and semantic-kernel open source?

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

Where can I find alternatives to autogen or semantic-kernel?

GraphCanon lists graph-backed alternatives at autogen alternatives and semantic-kernel alternatives (autogen markdown twin, semantic-kernel markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, autogen or semantic-kernel?

autogen: Slowing. semantic-kernel: 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 semantic-kernel?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autogen trust report; semantic-kernel trust report.