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Tools/Graphiti vs Zep
Graphiti

Graphiti

framework
vs
Zep

Zep

framework

Graphiti vs Zep — Comparison

Overview
What each tool does and who it's for

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.

Zep

Zep connects your data sources, builds a unified context graph of your users, and delivers assembled context to your agent. One pipeline. One API.

Based on the limited social mentions provided, there isn't enough substantive user feedback to properly assess Zep's reception. The mentions include several YouTube references to "Zep AI" without detailed content, and GitHub activity showing technical development work involving agent modules and commit migrations. Reddit discussions touch on AI memory management and context portability challenges that may relate to Zep's functionality, but don't explicitly evaluate the tool itself. To provide an accurate user sentiment summary, more detailed reviews and user experiences would be needed.

Key Metrics
—
Avg Rating
—
33
Mentions (30d)
5
24,254
GitHub Stars
4,316
2,403
GitHub Forks
597
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

Graphiti

0% positive100% neutral0% negative

Zep

0% positive100% neutral0% negative
Pricing

Graphiti

per-seat + tiered

Zep

subscription + freemium + tieredFree tier

Pricing found: $25 /month, $25 / 20, $475 /month, $125 / 100

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)

Only in Zep (10)

Trusted by developers atIngestGraphAssembleEvery SourceBuilt for Real-TimeThree Lines of CodeChat MemoryStatic RAGTool Calls
Developer Ecosystem
11
GitHub Repos
11
417
GitHub Followers
417
13
npm Packages
13
—
HuggingFace Models
—
—
SO Reputation
—
Pain Points
Top complaints from reviews and social mentions

Graphiti

No data yet

Zep

spending limit (1)
Product Screenshots

Graphiti

Graphiti screenshot 1Graphiti screenshot 2Graphiti screenshot 3

Zep

Zep screenshot 1Zep screenshot 2
Company Intel
information technology & services
Industry
information technology & services
6,000
Employees
5
$7.9B
Funding
$2.4M
Other
Stage
Seed
Supported Languages & Categories

Graphiti

AI/MLFinTechDevOpsSecurityAnalytics

Zep

context engineeringagent memoryAI agentsGraph RAGcontext assembly
View Graphiti Profile View Zep Profile