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Tools/Spring AI vs Graphiti
Spring AI

Spring AI

framework
vs
Graphiti

Graphiti

framework

Spring AI vs Graphiti — Comparison

Overview
What each tool does and who it's for

Spring AI

Level up your Java code and explore what Spring can do for you.

Spring AI is an application framework for AI engineering. Its goal is to apply to the AI domain Spring ecosystem design principles such as portability and modular design and promote using POJOs as the building blocks of an application to the AI domain. Spring AI provides the following features: Extensive reference documentation, sample applications, and workshop/course material. You can get started in a few simple steps: Add your OpenAI key to the application.properties: Add the following snippet to your SpringAiDemoApplication class: Want to get started in another way? View the Getting Started section in the reference documentation. VMware offers training and certification to turbo-charge your progress. Tanzu Spring offers support and binaries for OpenJDK™, Spring, and Apache Tomcat® in one simple subscription. Check out all the upcoming events in the Spring community.

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
8,359
GitHub Stars
24,254
2,413
GitHub Forks
2,403
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

Spring AI

0% positive100% neutral0% negative

Graphiti

0% positive100% neutral0% negative
Pricing

Spring AI

subscription + 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
80
GitHub Repos
11
16,103
GitHub Followers
417
20
npm Packages
13
—
HuggingFace Models
—
—
SO Reputation
—
Product Screenshots

Spring AI

Spring AI screenshot 1

Graphiti

Graphiti screenshot 1Graphiti screenshot 2Graphiti screenshot 3
Company Intel
retail
Industry
information technology & services
130
Employees
6,000
$445.0M
Funding
$7.9B
Merger / Acquisition
Stage
Other
Supported Languages & Categories

Spring AI

AI/MLSecurityDeveloper ToolsData

Graphiti

AI/MLFinTechDevOpsSecurityAnalytics
View Spring AI Profile View Graphiti Profile