Comparison
rig vs semantic-kernel
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.
Markdown twin · rig alternatives · semantic-kernel alternatives
GraphCanon updated Sep 30, 2026
vs
Trust & integrity
| Signal | rig | semantic-kernel |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- rig
- Build modular and scalable LLM Applications in Rust
- semantic-kernel
- Integrate cutting-edge LLM technology quickly and easily into your apps
Stars
- rig
- 8.7k
- semantic-kernel
- 29k
Forks
- rig
- 974
- semantic-kernel
- 4.8k
Open issues
- rig
- 102
- semantic-kernel
- 304
Language
- rig
- Rust
- semantic-kernel
- C#
Adopt for
- rig
- 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
- 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
- rig
- -
- semantic-kernel
- -
Runtime
- rig
- -
- semantic-kernel
- -
License
- rig
- MIT
- semantic-kernel
- Semantic-kernel is licensed under the MIT license, allowing for free use, modification, and distribution of the software.
Last pushed
- rig
- Sep 19, 2026
- semantic-kernel
- Sep 18, 2026
Categories
- rig
- AI Agents, LLM Frameworks
- semantic-kernel
- AI Agents, LLM Frameworks
Trust and health
Open issues (now)
- rig
- 102
- semantic-kernel
- 304
Stars delta
- rig
- +351 (30d)
- semantic-kernel
- +148 (30d)
Open issues delta
- rig
- -11 (30d)
- semantic-kernel
- +48 (30d)
Full report
- rig
- Trust report
- semantic-kernel
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (0xPlaygrounds/rig) · observed Sep 20, 2026
- GitHub forks (0xPlaygrounds/rig) · observed Sep 20, 2026
- Last push (0xPlaygrounds/rig) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 9, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (microsoft/semantic-kernel) · observed Sep 20, 2026
- GitHub forks (microsoft/semantic-kernel) · observed Sep 20, 2026
- Last push (microsoft/semantic-kernel) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: rig 8.7k · semantic-kernel 29k (synced Sep 20, 2026).
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 and semantic-kernel alternatives (rig 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, 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; semantic-kernel trust report.