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Ollama vs Langflow

AI Agent Comparison — side-by-side analysis

Comparison Summary

Ollama has a higher trust score (90.0 vs 88.0). Langflow leads in community adoption with 140,000 stars vs 115,000. Langflow offers more capabilities (5 vs 3).

Ollama

Run LLMs locally with a single command

OSS Repo
Trust: 90.0 ★ 115.0k
Language: Go
Author: ollama
View Profile Source →

Langflow

Low-code app builder for RAG and multi-agent AI

OSS Repo
Trust: 88.0 ★ 140.0k
Language: Python
Author: langflow-ai
View Profile Source →

Visual Comparison

Ollama Langflow
Trust Score 90.0 vs 88.0
Ollama
90.0
WINNER
Langflow
88.0
GitHub Stars 115,000 vs 140,000
Ollama
115,000
Langflow
140,000
WINNER
Capabilities 3 vs 5
Ollama
3
Langflow
5
WINNER
Protocols 1 vs 1
Ollama
1
Langflow
1

Detailed Metrics

MetricOllamaLangflow
Trust Score90.0 WINNER88.0
GitHub Stars115,000140,000 WINNER
TypeOSS RepoOSS Repo
LanguageGoPython
Authorollamalangflow-ai
Capabilities35 WINNER
Protocols11
Installcurl -fsSL https://ollama.ai/install.sh | shpip install langflow

Capabilities

Shared Capabilities
None
Only in Ollama
local-inferencemodel-managementmodel-serving
Only in Langflow
drag-dropmulti-agentno-coderagworkflow

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Ollama vs N8NLangflow vs N8NOllama vs AutoGPTLangflow vs AutoGPTOllama vs browser-useLangflow vs browser-use