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Langflow vs Context Forge

AI Agent Comparison — side-by-side analysis

Comparison Summary

Langflow has a higher trust score (88.0 vs 66.2). Langflow leads in community adoption with 140,000 stars vs 3,432. Context Forge offers more capabilities (9 vs 5).

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 →

Context Forge

An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool call

MCP Server
Trust: 66.2 ★ 3.4k
Language: Python
Author: IBM
View Profile Source →

Visual Comparison

Langflow Context Forge
Trust Score 88.0 vs 66.2
Langflow
88.0
WINNER
Context Forge
66.2
GitHub Stars 140,000 vs 3,432
Langflow
140,000
WINNER
Context Forge
3,432
Capabilities 5 vs 9
Langflow
5
Context Forge
9
WINNER
Protocols 1 vs 1
Langflow
1
Context Forge
1

Detailed Metrics

MetricLangflowContext Forge
Trust Score88.0 WINNER66.2
GitHub Stars140,000 WINNER3,432
TypeOSS RepoMCP Server
LanguagePythonPython
Authorlangflow-aiIBM
Capabilities59 WINNER
Protocols11
Installpip install langflowpip install mcp-context-forge

Capabilities

Shared Capabilities
None
Only in Langflow
drag-dropmulti-agentno-coderagworkflow
Only in Context Forge
api-integrationauthenticationci-cdcontainersdockerkuberneteslanguage-modelsorchestrationrest-api

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Langflow vs N8NContext Forge vs N8NLangflow vs AutoGPTContext Forge vs AutoGPTLangflow vs OllamaContext Forge vs Ollama