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RAGFlow vs browser-use

AI Agent Comparison — side-by-side analysis

Comparison Summary

browser-use has a higher trust score (90.6 vs 86.0). browser-use leads in community adoption with 78,000 stars vs 70,000. browser-use supports more protocols (2 vs 1).

RAGFlow

Open-source RAG engine for deep document understanding

OSS Repo
Trust: 86.0 ★ 70.0k
Language: Python
Author: infiniflow
View Profile Source →

browser-use

Make AI agents interact with any website

OSS Repo
Trust: 90.6 ★ 78.0k
Language: Python
Author: browser-use
View Profile Source →

Visual Comparison

RAGFlow browser-use
Trust Score 86.0 vs 90.6
RAGFlow
86.0
browser-use
90.6
WINNER
GitHub Stars 70,000 vs 78,000
RAGFlow
70,000
browser-use
78,000
WINNER
Capabilities 4 vs 4
RAGFlow
4
browser-use
4
Protocols 1 vs 2
RAGFlow
1
browser-use
2
WINNER

Detailed Metrics

MetricRAGFlowbrowser-use
Trust Score86.090.6 WINNER
GitHub Stars70,00078,000 WINNER
TypeOSS RepoOSS Repo
LanguagePythonPython
Authorinfiniflowbrowser-use
Capabilities44
Protocols12 WINNER
Installdocker compose up -dpip install browser-use

Capabilities

Shared Capabilities
None
Only in RAGFlow
chunkingdocument-parsingragretrieval
Only in browser-use
automationdata-extractionscrapingweb-browsing

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RAGFlow vs AutoGPTbrowser-use vs AutoGPTRAGFlow vs Langflowbrowser-use vs LangflowRAGFlow vs Ollamabrowser-use vs Ollama