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Tools/Langflow vs Graphiti
Langflow

Langflow

framework
vs
Graphiti

Graphiti

framework

Langflow vs Graphiti — Comparison

Overview
What each tool does and who it's for

Langflow

Langflow is a low-code AI builder for agentic and retrieval-augmented generation (RAG) apps. Code in Python and use any LLM or vector database.

I notice that you've mentioned social media mentions from YouTube about Langflow AI, but the actual content of those mentions isn't provided - just repeated titles "Langflow AI: Langflow AI". Additionally, the reviews section appears to be empty. Without the actual content of the reviews and social mentions, I cannot provide a meaningful summary of user sentiment regarding Langflow's strengths, complaints, pricing, or overall reputation. Could you please share the actual text content from these reviews and social media mentions?

Graphiti

Build Real-Time Knowledge Graphs for AI Agents. Contribute to getzep/graphiti development by creating an account on GitHub.

Based on the provided content, there are no reviews or social mentions specifically about "Graphiti." All the social media mentions are about GitHub Copilot, Figma, npm registry tools, and other development-related topics, but none reference a tool called "Graphiti." Without actual user feedback about Graphiti, I cannot provide a meaningful summary of user sentiment, strengths, complaints, or pricing opinions for this specific tool.

Key Metrics
—
Avg Rating
—
0
Mentions (30d)
33
146,433
GitHub Stars
24,254
8,674
GitHub Forks
2,403
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

Langflow

0% positive100% neutral0% negative

Graphiti

0% positive100% neutral0% negative
Pricing

Langflow

tiered

Graphiti

per-seat + tiered
Use Cases
When to use each tool

Graphiti (1)

Quick Start
Features

Only in Langflow (8)

Drag. Drop. Deploy.Limitless ControlRun, Share and Collaborate.Agents at your serviceFlow as an APIDeploy yourself or sign up for a free cloud accountDeploy and scale on an enterprise-grade, secure cloud platformSame Langflow whether you’re using OSS or Cloud

Only in Graphiti (10)

Build context graphs that evolve with every interaction — tracking what's true now and what was true before.Give agents rich, structured context instead of flat document chunks or raw chat history.Query across time, meaning, and relationships with hybrid retrieval (semantic + keyword + graph traversal).Python 3.10 or higherNeo4j 5.26 / FalkorDB 1.1.2 / Kuzu 0.11.2 / Amazon Neptune Database Cluster or Neptune Analytics Graph + Amazon OpenSearch Serverless collection (serves as the full text search backend)OpenAI API key (Graphiti defaults to OpenAI for LLM inference and embedding)Google Gemini, Anthropic, or Groq API key (for alternative LLM providers)Connecting to a Neo4j, Amazon Neptune, FalkorDB, or Kuzu databaseInitializing Graphiti indices and constraintsAdding episodes to the graph (both text and structured JSON)
Developer Ecosystem
11
GitHub Repos
11
2,657
GitHub Followers
417
20
npm Packages
13
15
HuggingFace Models
—
—
SO Reputation
—
Product Screenshots

Langflow

Langflow screenshot 1Langflow screenshot 2

Graphiti

Graphiti screenshot 1Graphiti screenshot 2Graphiti screenshot 3
Company Intel
information technology & services
Industry
information technology & services
16
Employees
6,000
—
Funding
$7.9B
Merger / Acquisition
Stage
Other
Supported Languages & Categories

Langflow

LangflowAIDevelopmentAgenticRAG

Graphiti

AI/MLFinTechDevOpsSecurityAnalytics
View Langflow Profile View Graphiti Profile