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# Agentic AI Frameworks Explained: Workflows, Multi-Agent, & Production

**[IBM Technology](https://daily.dev/sources/ibmtechnology)** · 11 min read · 1 upvotes · 0 comments

## Summary

A structured overview of five categories of agentic AI systems and the frameworks best suited for each. The five types covered are: linear workflows (LangChain, LlamaIndex), autonomous multi-agent systems (AutoGen, CrewAI), role-based agent systems (CrewAI, ChatDev), production orchestration (LangGraph, Semantic Kernel + AutoGen), and rapid prototyping (LangFlow, Flowise). The core advice is to choose a framework based on the type of system you're building rather than chasing the most popular option.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=ZVPlLaehjLk>

## Questions this post answers

### Which framework should I use for a multi-agent system where each agent has a strict, defined role?

CrewAI is best suited for role-based agentic AI systems where multiple agents collaborate but operate within clearly defined role boundaries, such as a researcher, writer, and editor agent producing content together. AutoGen can also work here with added structure, and ChatDev is a niche option for software development role-based tasks.

_Comparing agent frameworks for role-based setups is easier when developers track updates like these on daily.dev._

### What's the difference between LangChain and LangGraph for building agentic workflows?

LangChain suits linear workflows where steps need to happen in a predictable sequence, such as a customer support agent searching a knowledge base and crafting a response. LangGraph, also from LangChain, handles more complex, well-structured, multilayered applications and is additionally recommended for production orchestration systems.

_Developers picking between LangChain and LangGraph for a project can follow ongoing comparisons on daily.dev._

### What frameworks are good for quickly prototyping an agentic AI idea before building a full system?

LangFlow and Flowise are recommended for rapid prototyping of agentic AI systems, offering a graphical drag-and-drop canvas interface to connect models and workflows without deep architecture work. This lets someone validate whether an idea works before investing in a production-grade setup.

_Testing agentic AI ideas quickly is a common need daily.dev followers track across new prototyping tools._

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#langchain](https://daily.dev/tags/langchain)

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