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AutoGen vs Langflow

Side-by-side comparison with live GitHub signals. Last updated May 16, 2026.

A

AutoGen

Microsoft's framework for building multi-agent AI systems

OSSFree
58.1K4w ago445
L

Langflow

Visual framework for building and deploying AI agents — 145K+ stars

OSSFree
148.2Ktoday323
MetricAutoGenLangflow
GitHub Stars58.1K148.2K
Contributors445323
Last CommitApr 15, 2026May 16, 2026
Open Issues823914
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Shared Tags

multi-agentpython

Only in AutoGen

microsoftconversationcode-executiongroup-chat

Only in Langflow

visual-builderno-coderagopen-source

About AutoGen

AutoGen is Microsoft's open-source framework for building multi-agent conversational systems where agents can converse with each other and with humans to solve complex tasks. Agents are highly customizable and can use LLMs, tools, and human input in flexible combinations. The framework supports group chats, nested conversations, and code execution sandboxes, making it well-suited for coding assistants, research automation, and enterprise agentic workflows. AutoGen Studio provides a no-code UI for prototyping agent systems visually.

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About Langflow

Langflow is a visual framework for building multi-agent and RAG applications. Its drag-and-drop interface lets you create complex agent workflows without code, while still allowing Python customization. Supports all major LLM providers, vector stores, and tools. Export flows as APIs with one click. The most popular visual agent builder.

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