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Semantic Kernel alternatives

These records overlap with Semantic Kernel's recorded tasks and have the same product type. The selection uses task text, then information completeness; stars and sponsorship do not set the order. Check the specific capability you need before switching.

6 task-related records from 57 category candidates · all agent frameworks · how we rank

The product you're replacing

Semantic KernelFrameworkAgent Frameworks

Microsoft's model-agnostic SDK for AI agents in C#, Python and Java, now succeeded by Microsoft Agent Framework.

Costs not checked · 29k stars · C# · Open source · repository push Nov 2026

Visit Semantic Kernel →Full Semantic Kernel record

Semantic Kernel's record says to avoid it if: You're starting a new project; Microsoft directs new work to Microsoft Agent Framework.

Building one yourself? How to choose an agent framework →

Task-related research candidates

agent-frameworkFrameworkA framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and.NET.Costs not checkedOpen sourcePython · recorded license: MITRecord checked · Recent push 14kGitHub stars

Shared terms in the records: dotnet, microsoft, net, python. These text matches do not establish equivalent capabilities. The recorded use cases differ: Semantic Kernel — Maintaining existing Semantic Kernel applications in .NET, Python or Java; agent-framework — Production multi-agent workflows in .NET or Python with Microsoft tooling.

OpenAI Agents SDK (Python)FrameworkOpenAI's lightweight, provider-agnostic Python framework for multi-agent workflows.Costs not checkedOpen sourcePython · recorded license: MITRecord checked · Recent push 30kGitHub stars

Shared terms in the records: agnostic, python, sdk. These text matches do not establish equivalent capabilities. The recorded use cases differ: Semantic Kernel — Maintaining existing Semantic Kernel applications in .NET, Python or Java; OpenAI Agents SDK (Python) — Python teams who want minimal abstractions over agents, tools and handoffs.

OpenAI Agents SDK (TypeScript)FrameworkOpenAI's lightweight, provider-agnostic TypeScript framework for multi-agent workflows and voice agents.Costs not checkedOpen sourceTypeScript · recorded license: MITRecord checked · Recent push 4.0kGitHub stars

Shared terms in the records: agnostic, sdk. These text matches do not establish equivalent capabilities. The recorded use cases differ: Semantic Kernel — Maintaining existing Semantic Kernel applications in .NET, Python or Java; OpenAI Agents SDK (TypeScript) — TypeScript teams building agents or voice agents on OpenAI's primitives.

txtaiFrameworkAn all-in-one Python framework for semantic search, LLM orchestration and language-model workflows.Costs not checkedOpen sourcePython · recorded license: Apache-2.0Record checked · Recent push 13kGitHub stars

Shared terms in the records: python, semantic. These text matches do not establish equivalent capabilities. The recorded use cases differ: Semantic Kernel — Maintaining existing Semantic Kernel applications in .NET, Python or Java; txtai — Self-hosted semantic search and RAG with agents in a single Python library.

KoogFrameworkJetBrains' Kotlin and Java framework for predictable, fault-tolerant AI agents across JVM, Android, iOS and the browser.Costs not checkedOpen sourceKotlin · recorded license: Apache-2.0Record checked · Recent push 4.6kGitHub stars

Shared terms in the records: java, python. These text matches do not establish equivalent capabilities. The recorded use cases differ: Semantic Kernel — Maintaining existing Semantic Kernel applications in .NET, Python or Java; Koog — JVM and Android teams that want agents in their own stack rather than in Python.

AI SDK (Vercel)FrameworkVercel's provider-agnostic TypeScript toolkit for AI applications and agents in Next.js, React, Svelte, Vue and Node.Costs not checkedOpen sourceTypeScript · recorded license: Apache-2.0Record checked · Recent push 28kGitHub stars

Shared terms in the records: agnostic, sdk. These text matches do not establish equivalent capabilities. The recorded use cases differ: Semantic Kernel — Maintaining existing Semantic Kernel applications in .NET, Python or Java; AI SDK (Vercel) — Web developers adding streaming AI features and agents to TypeScript apps.

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Frequently asked

How were alternatives to Semantic Kernel selected?
Recorded task topics and meaningful shared terms qualify same-type candidates in the same category. Results are ordered by that overlap, then information completeness and a stable identifier. Sponsorship and GitHub stars do not participate. The method can miss suitable tools whose records lack task information.
Does inclusion mean a tested replacement?
No. These are catalogue-based research candidates. Check current sources, costs, permissions and deployment requirements, then test your own task. ASE has not run a performance benchmark of this shortlist.