--- title: "rig vs semantic-kernel" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/0xplaygrounds-rig-vs-microsoft-semantic-kernel" tools: ["0xplaygrounds-rig", "microsoft-semantic-kernel"] --- # rig vs semantic-kernel *GraphCanon updated Sep 30, 2026* ## Verdict Pick rig if rig is a Rust library designed to create modular and scalable LLM applications with extensive support for agentic workflows, multi-turn streaming, full compatibility with GenAI conventions, and integration capabilities; pick semantic-kernel if semantic-kernel is a framework for integrating large language models into applications using C#, Python, Java, and .NET, offering flexibility across multiple programming environments. [rig](https://rig.rs) reports 8.7k GitHub stars, 974 forks, and 102 open issues, last pushed Sep 19, 2026. [semantic-kernel](https://aka.ms/semantic-kernel) has 29k stars, 4.8k forks, and 304 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [rig's repository](https://github.com/0xPlaygrounds/rig) and [semantic-kernel's repository](https://github.com/microsoft/semantic-kernel). | | [rig](/tools/0xplaygrounds-rig.md) | [semantic-kernel](/tools/microsoft-semantic-kernel.md) | | --- | --- | --- | | Tagline | Build modular and scalable LLM Applications in Rust | Integrate cutting-edge LLM technology quickly and easily into your apps | | Stars | 8,679 | 28,575 | | Forks | 974 | 4,774 | | Open issues | 102 | 304 | | Language | Rust | C# | | Adopt for | Rig is a Rust library designed to create modular and scalable LLM applications with extensive support for agentic workflows, multi-turn streaming, full compatibility with GenAI conventions, and integration capabilities. | Semantic-kernel is a framework for integrating large language models into applications using C#, Python, Java, and .NET, offering flexibility across multiple programming environments. | | Persona | - | - | | Runtime | - | - | | License | MIT | Semantic-kernel is licensed under the MIT license, allowing for free use, modification, and distribution of the software. | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [rig](/tools/0xplaygrounds-rig.md) | [semantic-kernel](/tools/microsoft-semantic-kernel.md) | | --- | --- | --- | | Open issues (now) | 102 | 304 | | Stars delta | +351 (30d) | +148 (30d) | | Open issues delta | -11 (30d) | +48 (30d) | | Full report | [trust report](/tools/0xplaygrounds-rig/trust.md) | [trust report](/tools/microsoft-semantic-kernel/trust.md) | ## Decision facts: rig - **Hosting:** self hosted - Self-hosted as a Rust library. - **Pricing:** freemium - Free to use under MIT license with potential premium support options. - **Adopt for:** Rig is a Rust library designed to create modular and scalable LLM applications with extensive support for agentic workflows, multi-turn streaming, full compatibility with GenAI conventions, and integration capabilities. - **License detail:** MIT ## Decision facts: semantic-kernel - **Requirements:** System requirements include Python 3.10+, .NET 10.0+, and JDK 17+.; Operating system support includes Windows, macOS, and Linux. - **Adopt for:** Semantic-kernel is a framework for integrating large language models into applications using C#, Python, Java, and .NET, offering flexibility across multiple programming environments. - **License detail:** Semantic-kernel is licensed under the MIT license, allowing for free use, modification, and distribution of the software. ## Choose when ### Choose rig if… - rig is primarily Rust; semantic-kernel is C#. - Self-hosted as a Rust library. - Pricing: Free to use under MIT license with potential premium support options.. - Tags unique to rig: agent, automation, generative-ai, large-language-model. - You should use Rig when you need to work with LLM applications in Rust and want full WASM (core library) compatibility. ### Choose semantic-kernel if… - semantic-kernel is primarily C#; rig is Rust. - Requirements: System requirements include Python 3.10+, .NET 10.0+, and JDK 17+.; Operating system support includes Windows, macOS, and Linux.. - Tags unique to semantic-kernel: azure-openai, csharp, openai, openai-api. - When you need to integrate large language models into applications using C#, Python, Java, or .NET, as semantic-kernel supports these languages natively. ## When NOT to use rig - Avoid using Rig if you are working on applications that do not require or support Rust as it is specifically built to facilitate LLM operations within a Rust environment. - Rig may not be suitable if your project cannot handle potential breaking changes, which are expected due to its rapidly evolving nature and upcoming feature updates. ## When NOT to use semantic-kernel - If your project is strictly limited to a single programming language that is not C#, Python, Java, or.NET, as semantic-kernel does not support other languages. - When your application must exclusively use a specific AI service provider that is not Azure OpenAI or OpenAI, as semantic-kernel's primary integration is with these services. - If your development environment is not Windows, macOS, or Linux, as semantic-kernel does not support other operating systems. ## Common questions ### What is the difference between rig and semantic-kernel? rig: Build modular and scalable LLM Applications in Rust. 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 rig over semantic-kernel? Choose rig over semantic-kernel when rig is primarily Rust; semantic-kernel is C#; Self-hosted as a Rust library; Pricing: Free to use under MIT license with potential premium support options.; Tags unique to rig: agent, automation, generative-ai, large-language-model; You should use Rig when you need to work with LLM applications in Rust and want full WASM (core library) compatibility. ### When should I choose semantic-kernel over rig? Choose semantic-kernel over rig when semantic-kernel is primarily C#; rig is Rust; Requirements: System requirements include Python 3.10+, .NET 10.0+, and JDK 17+.; Operating system support includes Windows, macOS, and Linux.; Tags unique to semantic-kernel: azure-openai, csharp, openai, openai-api; When you need to integrate large language models into applications using C#, Python, Java, or .NET, as semantic-kernel supports these languages natively. ### When should I avoid rig? Avoid using Rig if you are working on applications that do not require or support Rust as it is specifically built to facilitate LLM operations within a Rust environment. Rig may not be suitable if your project cannot handle potential breaking changes, which are expected due to its rapidly evolving nature and upcoming feature updates. ### When should I avoid semantic-kernel? If your project is strictly limited to a single programming language that is not C#, Python, Java, or.NET, as semantic-kernel does not support other languages. When your application must exclusively use a specific AI service provider that is not Azure OpenAI or OpenAI, as semantic-kernel's primary integration is with these services. If your development environment is not Windows, macOS, or Linux, as semantic-kernel does not support other operating systems. ### Is rig or semantic-kernel more popular on GitHub? semantic-kernel has more GitHub stars (28,575 vs 8,679). Stars measure visibility, not whether either tool fits your constraints. ### Are rig and semantic-kernel open source? Yes - both are open-source projects on GitHub (rig: MIT, semantic-kernel: MIT). ### Where can I find alternatives to rig or semantic-kernel? GraphCanon lists graph-backed alternatives at [rig alternatives](/tools/0xplaygrounds-rig/alternatives) and [semantic-kernel alternatives](/tools/microsoft-semantic-kernel/alternatives) ([rig markdown twin](/tools/0xplaygrounds-rig/alternatives.md), [semantic-kernel markdown twin](/tools/microsoft-semantic-kernel/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/0xplaygrounds-rig-vs-microsoft-semantic-kernel.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, rig or semantic-kernel? rig: Very active. 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 rig and semantic-kernel? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [rig trust report](/tools/0xplaygrounds-rig/trust); [semantic-kernel trust report](/tools/microsoft-semantic-kernel/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=0xplaygrounds-rig`](/api/graphcanon/graph?tool=0xplaygrounds-rig) - 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/_