Semantic Kernel Alternatives
Microsoft's SDK for building and orchestrating AI agents in .NET, Python, and Java
Semantic Kernel is a lightweight, model-agnostic SDK from Microsoft for integrating LLMs into applications.
Explore 46 alternatives to Semantic Kernel across 2 categories. Each tool listed below shares at least one category with Semantic Kernel.
Top Semantic Kernel alternatives at a glance
- AG2. Community-driven multi-agent framework forked from AutoGen with backward-compatible API
- AgentOps. Build compliant AI agents with observability, evals, and replay analytics.
- AutoGen. Microsoft's framework for building multi-agent AI applications with event-driven messaging
- Browserbase. Cloud browser infrastructure for AI agents with stealth mode, proxies, and session management
- Composio. Tool integration platform connecting AI agents to 1,000+ apps with managed auth and execution
🕵️♀️ Agents
Dust
The operating system for AI agents
Fixie
The fastest way to build conversational AI agents
Google ADK
Open-source agent development kit from Google for building multi-agent systems
Letta
Framework for building stateful AI agents with persistent memory, formerly MemGPT
Mastra
TypeScript-first AI framework for building agents, RAG pipelines, and workflows
Superagent
Prototype and deploy agents powered by large language models.
🏗️ Frameworks & Stacks
Google ADK
Open-source agent development kit from Google for building multi-agent systems
LangChain
LangChain gives developers a framework to construct LLM‑powered apps easily.
Mastra
TypeScript-first AI framework for building agents, RAG pipelines, and workflows
Ollama
Run large language models locally with a single command
phidata
Build an AI App in minutes using pre-built templates.
Frequently asked questions
What are the best alternatives to Semantic Kernel?
Based on category overlap and popularity, the top alternatives to Semantic Kernel include: AG2 (Community-driven multi-agent framework forked from AutoGen with backward-comp...); AgentOps (Build compliant AI agents with observability, evals, and replay analytics. ); AutoGen (Microsoft's framework for building multi-agent AI applications with event-dri...); Browserbase (Cloud browser infrastructure for AI agents with stealth mode, proxies, and se...); Composio (Tool integration platform connecting AI agents to 1,000+ apps with managed au...). See all 46 alternatives compared on this page.
Is there a free alternative to Semantic Kernel?
Yes. 28 alternatives to Semantic Kernel offer a free tier or free trial: AgentOps, Browserbase, Composio, Dust, E2B, Fixie, and more. Use the comparison above to find the best fit for your use case.
Are there open-source alternatives to Semantic Kernel?
Yes. 38 open-source alternatives to Semantic Kernel are listed here: AG2, AutoGen, Composio, CrewAI, Dust, E2B, and more. Open-source tools can be self-hosted for full control over data and infrastructure.
What is Semantic Kernel?
Semantic Kernel is a lightweight, model-agnostic SDK from Microsoft for integrating LLMs into applications. It supports C#/.NET, Python, and Java, connecting to OpenAI, Azure OpenAI, Hugging Face, NVIDIA, and other providers through plugins and connectors. A key feature is its planning capability... See 46 alternatives to Semantic Kernel across 2 categories.
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