ZenML Blog

The latest news, opinions and technical guides from ZenML.
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Newsletter 17: What Teams Need to Ship AI Agents

We're expanding ZenML beyond its original MLOps focus into the LLMOps space, recognizing the same fragmentation patterns that once plagued traditional machine learning operations. We're developing three core capabilities: native LLM components that provide unified APIs and management across providers like OpenAI and Anthropic, along with standardized prompt versioning and evaluation tools; applying established MLOps principles to agent development to bring systematic versioning, evaluation, and observability to what's currently a "build it and pray" approach; and enhancing orchestration to support both LLM framework integration and direct LLM calls within workflows. Central to our philosophy is the principle of starting simple before going autonomous, emphasizing controlled workflows over fully autonomous agents for enterprise production environments, and we're actively seeking community input through a survey to guide our development priorities, recognizing that today's infrastructure decisions will determine which organizations can successfully scale AI deployment versus remaining stuck in pilot phases.
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LLMOps
16 mins

7 Best Flowise Alternatives to Build AI Agents that Deliver Efficient Results

Discover the top 7 Flowise alternatives - code and no-code that you can leverage to build and deploy efficient AI agents.
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LLMOps
17 mins

Here are the Top 8 Botpress Alternatives to Build Complete AI Agent Platforms

Discover the top 8 Botpress alternatives - code and no-code that you can leverage as a complete AI agent platform.
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LLMOps
15 mins

LlamaIndex vs CrewAI: Which Agentic AI Fits Your Python Agent Stack Better?

In this LlamaIndex vs CrewAI, we explain the difference between the two and conclude which one is the best to build AI agents.
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LLMOps
17 mins

We Tried and Tested 8 Best Semantic Kernel Alternatives to Build AI Agents

Discover the top 8 Semantic Kernel alternatives that will help you build efficient AI agents.
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LLMOps
18 mins

CrewAI vs n8n: Key Differences and Which Platform Wins for AI Agents

In this CrewAI vs n8n, we explain the difference between the two and conclude which one is the best to build AI agents.
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LLMOps
15 mins

We Tried and Tested 8 Langflow Alternatives for Production-Ready AI Workflows

Discover the top 8 Langflow alternatives you can leverage to build and deploy AI agents.
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LLMOps
13 mins

Semantic Kernel vs AutoGen: Which Microsoft Framework Builds Better AI Agents

In this Semantic Kernel vs Autogen article, we explain the differences between the two frameworks and conclude which one is best suited for building AI agents.
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LLMOps
15 mins

7 Best Agentic AI Frameworks to Build Smarter AI Workflows

Discover the 7 best Agentic AI frameworks to help you build smarter AI workflows this year.
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