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Tools/Chainlit vs Graphiti
Chainlit

Chainlit

framework
vs
Graphiti

Graphiti

framework

Chainlit vs Graphiti — Comparison

Overview
What each tool does and who it's for

Chainlit

Build reliable conversational AI. Evaluate your AI system. Observability and Analytics platform for LLM apps.

I notice that while there are multiple YouTube mentions of Chainlit AI, you haven't provided the actual content of the reviews or social mentions - just placeholder titles. Without access to the specific user feedback, review text, or detailed social media content, I cannot accurately summarize what users think about Chainlit's strengths, complaints, pricing, or reputation. Could you please provide the actual review content or social media posts so I can give you a proper analysis of user sentiment?

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
11,838
GitHub Stars
24,254
1,678
GitHub Forks
2,403
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

Chainlit

0% positive100% neutral0% negative

Graphiti

0% positive100% neutral0% negative
Pricing

Chainlit

subscription + tiered

Graphiti

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

Graphiti (1)

Quick Start
Features

Only in Chainlit (3)

Trusted by teams atBuild Conversational AI appsChainlit

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
14
GitHub Repos
11
462
GitHub Followers
417
13
npm Packages
13
22
HuggingFace Models
—
—
SO Reputation
—
Product Screenshots

Chainlit

Chainlit screenshot 1

Graphiti

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

Chainlit

AI/MLDevOpsDeveloper Tools

Graphiti

AI/MLFinTechDevOpsSecurityAnalytics
View Chainlit Profile View Graphiti Profile