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Tools/Semantic Kernel vs Graphiti
Semantic Kernel

Semantic Kernel

framework
vs
Graphiti

Graphiti

framework

Semantic Kernel vs Graphiti — Comparison

Overview
What each tool does and who it's for

Semantic Kernel

Find official documentation, practical know-how, and expert guidance for builders working and troubleshooting in Microsoft products.

I notice that while you've mentioned social media content about Semantic Kernel AI, the actual review text and social mention details weren't included in your message. The YouTube references appear to be just titles or placeholders without the actual content. To provide you with an accurate summary of user sentiment about Semantic Kernel, I would need to see the actual text of the reviews and social mentions. Could you please share the specific content from those sources so I can analyze what users are saying about its strengths, weaknesses, pricing, and overall reputation?

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
27,602
GitHub Stars
24,254
4,529
GitHub Forks
2,403
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

Semantic Kernel

0% positive100% neutral0% negative

Graphiti

0% positive100% neutral0% negative
Pricing

Semantic Kernel

tiered

Graphiti

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

Graphiti (1)

Quick Start
Features

Only in Semantic Kernel (4)

Microsoft 2026Discover AI, Azure, and Copilot essentialsTake in-demand trainingAdditional resources

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
116,169
GitHub Followers
417
20
npm Packages
13
40
HuggingFace Models
—
—
SO Reputation
—
Product Screenshots

Semantic Kernel

Semantic Kernel screenshot 1Semantic Kernel screenshot 2Semantic Kernel screenshot 3

Graphiti

Graphiti screenshot 1Graphiti screenshot 2Graphiti screenshot 3
Company Intel
information technology & services
Industry
information technology & services
228,000
Employees
6,000
—
Funding
$7.9B
—
Stage
Other
Supported Languages & Categories

Semantic Kernel

AI/MLSecurityDeveloper Tools

Graphiti

AI/MLFinTechDevOpsSecurityAnalytics
View Semantic Kernel Profile View Graphiti Profile