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Show HN: I compared 15 AI agent frameworks across 4 production stacks

A developer published a side-by-side comparison of 15 AI agent frameworks, filtering by use case (RAG, multi-agent, structured output) and language (Python, TypeScript, .NET), updated weekly. The comparison covers frameworks like LangGraph, CrewAI, AutoGen, and others, highlighting their control flow, state management, and licensing. This resource helps developers choose the right framework for production stacks.

read2 min views1 publishedJun 26, 2026

Side-by-side comparison of 15 AI agent frameworks. Filter by use case (RAG, multi-agent, structured output) and language (Python, TypeScript, .NET). Updated weekly.

12k+Python / TypeScriptcontrol: graphstate: explicit-graphMITmulti-step agenthuman-in-the-loopstateful workflowRAG agent

LangGraph

Graph-based control for stateful LLM agents with explicit transitions and human gates.

28k+Pythoncontrol: crewstate: message-passingMITrole-based agent teamtask delegationresearchcontent workflow

CrewAI

Role-based crew orchestration with sequential or hierarchical task delegation.

35k+Python / .NETcontrol: conversationalstate: message-passingMITmulti-agent chatcode generation agentresearchtool use

AutoGen

Conversational multi-agent framework from Microsoft Research with deep tool use.

6k+Pythoncontrol: code-firststate: explicit-graphMITtyped structured outputfunction callingproduction appvalidation

Pydantic AI

Typed agents built on Pydantic validation. Production-first, structured output as first class.

8k+Python / TypeScriptcontrol: code-firststate: implicitMITOpenAI-first stackhandoff patternguardrailstracing

OpenAI Agents SDK

OpenAI official SDK with handoffs, guardrails, and built-in tracing UI.

10k+TypeScriptcontrol: code-firststate: explicit-graphElastic License 2.0TypeScript stackNext.js integrationworkflow with stepseval

Mastra

TypeScript-native framework with workflows, agents, RAG, and built-in eval.

13k+TypeScriptcontrol: code-firststate: implicitApache 2.0streaming UIchat interfaceNext.js appedge runtime

Vercel AI SDK

TypeScript SDK with streaming UI primitives and provider abstraction.

94k+Python / TypeScriptcontrol: code-firststate: implicitMITRAGprototypebroad integrationchain composition

LangChain

The original LLM framework. Broad integration surface, mature ecosystem.

36k+Python / TypeScriptcontrol: code-firststate: implicitMITRAGindex managementdata agentknowledge base

LlamaIndex

Data-first framework. Strongest for RAG and structured data agent.

17k+Pythoncontrol: code-firststate: explicit-graphApache 2.0production RAGpipeline compositionenterprise search

Haystack

Pipeline-based framework from deepset. Production search and RAG focus.

53k+TypeScript / Pythoncontrol: low-codestate: explicit-graphCustom (open-core)no-code agentworkflow builderteam collaborationself-host

Dify

Open-source LLM app platform with visual workflow builder. Self-hostable.

32k+TypeScriptcontrol: low-codestate: explicit-graphApache 2.0drag-drop chain builderno-codeprototypeself-host

Flowise

Drag-and-drop LangChain workflow builder. Open source, self-host first.

65k+TypeScriptcontrol: low-codestate: event-drivenSustainable Use Licenseworkflow automationAI agent nodeself-hostAPI integration

n8n

Workflow automation with AI agent nodes. Strong integration library.

21k+.NET / Python / Javacontrol: code-firststate: implicitMIT.NET stackenterpriseskill orchestrationplugin

Semantic Kernel

Microsoft enterprise SDK. .NET / Python / Java with plugin orchestration.

12k+Pythoncontrol: code-firststate: implicitApache 2.0minimal footprintcode agenttool useHF ecosystem

smolagents

Hugging Face minimal agent framework. Code-as-action approach, small footprint.

── more in #ai-agents 4 stories · sorted by recency
── more on @langgraph 3 stories trending now
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