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Tools/PromptFlow vs Graphiti
PromptFlow

PromptFlow

framework
vs
Graphiti

Graphiti

framework

PromptFlow vs Graphiti — Comparison

Overview
What each tool does and who it's for

PromptFlow

Prompt flow Doc

With prompt flow, you will be able to:

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
11,087
GitHub Stars
24,254
1,089
GitHub Forks
2,403
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

PromptFlow

0% positive100% neutral0% negative

Graphiti

0% positive100% neutral0% negative
Pricing

PromptFlow

tiered

Graphiti

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

Graphiti (1)

Quick Start
Features

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
7,713
GitHub Repos
11
116,174
GitHub Followers
417
20
npm Packages
13
40
HuggingFace Models
—
—
SO Reputation
—
Pain Points
Top complaints from reviews and social mentions

PromptFlow

token usage (1)expensive API (1)

Graphiti

No data yet

Product Screenshots

PromptFlow

No screenshots

Graphiti

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

PromptFlow

AI/MLDevOpsDeveloper Tools

Graphiti

AI/MLFinTechDevOpsSecurityAnalytics
View PromptFlow Profile View Graphiti Profile