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Tools/DSPy vs Graphiti
DSPy

DSPy

framework
vs
Graphiti

Graphiti

framework

DSPy vs Graphiti — Comparison

Overview
What each tool does and who it's for

DSPy

The framework for programming—rather than prompting—language models.

I don't see any actual review content or social media mentions in your message - the sections appear to be empty except for a single Hacker News thread title. Based on just that title "If DSPy is so great, why isn't anyone using it?", it suggests there may be skepticism about DSPy's adoption despite its purported capabilities. To provide a meaningful summary of user sentiment, I would need the actual review content and social media discussions you'd like me to analyze.

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
—
1
Mentions (30d)
33
33,311
GitHub Stars
24,254
2,742
GitHub Forks
2,403
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

DSPy

0% positive100% neutral0% negative

Graphiti

0% positive100% neutral0% negative
Pricing

DSPy

tiered

Pricing found: $2

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
53
GitHub Repos
11
2,504
GitHub Followers
417
7
npm Packages
13
23
HuggingFace Models
—
—
SO Reputation
—
Product Screenshots

DSPy

DSPy 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

DSPy

AI/MLFinTechDevOpsDeveloper Tools

Graphiti

AI/MLFinTechDevOpsSecurityAnalytics
View DSPy Profile View Graphiti Profile