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The best Semantic Kernel alternatives

6 tools that do a similar job to Semantic Kernel, 6 of them open source. Each entry says what it does and who it suits, so you can pick the one that fits instead of the most famous.

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Semantic Kernel

Open-source SDK for building AI agents and multi-agent apps in Python, .NET and Java.

  1. 1

    LangChain

    Open source · MIT · ★ 149k

    A Python framework for building AI agents and apps powered by language models.

    Best for: Python developers building LLM-powered applications; Teams that want to switch between model providers without rewriting code

    Full review Semantic Kernel vs LangChain
  2. 2

    LlamaIndex

    Open source · MIT · ★ 52.8k

    Python framework for building LLM apps that query your own documents and data.

    Best for: Python developers building retrieval-augmented generation (RAG) apps over private documents; Teams wanting a modular toolkit where they can swap LLM, embedding and vector store providers

    Full review Semantic Kernel vs LlamaIndex
  3. 3

    Microsoft Agent Framework

    Open source · MIT · ★ 14.5k

    A Microsoft framework for building and running AI agents and multi-agent workflows in Python and .NET.

    Best for: Developers building agents or multi-agent workflows they plan to run in production; Teams that need orchestration beyond a single prompt or stateless chat loop

    Full review Semantic Kernel vs Microsoft Agent Framework
  4. 4

    OpenAI Agents SDK

    Open source · MIT · ★ 30.5k

    A Python SDK for building AI agents that use tools, hand off tasks, and keep conversation history.

    Best for: Python developers building multi-step AI workflows; Teams that want agents to call tools and delegate work to other agents

    Full review
  5. 5

    Semantica

    Open source · MIT · ★ 14.4k

    Python toolkit that builds knowledge graphs and decision audit trails to give AI systems structured, explainab

    Best for: AI/ML platform teams building agents that need structured context beyond vector search; Data engineers building a knowledge graph from multi-source data with conflict detection

    Full review
  6. 6

    spaCy

    Open source · MIT · ★ 34k

    Python library for processing and analyzing text, with pretrained models for 70+ languages.

    Best for: Python developers building text-processing features into an application; Data scientists who need fast, production-oriented NLP pipelines

    Full review Semantic Kernel vs spaCy

How we pick: tools in the same category that solve the same problem, projects that name each other as alternatives, and open-source projects that describe themselves as an alternative to Semantic Kernel. We don't take payment for placement.