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Tools/Superagent vs Graphiti
Superagent

Superagent

framework
vs
Graphiti

Graphiti

framework

Superagent vs Graphiti — Comparison

Overview
What each tool does and who it's for

Superagent

We attack your production system to surface data leaks, harmful outputs, and unwanted actions. Fix them before your users encounter them.

Building the infrastructure for AI systems people can trust. AI agents fail in ways traditional software does not. Data leaks, unauthorized actions, harmful outputs. These failures happen even when the system appears to work correctly by traditional software engineering standards. We believe safety should be provable, not promised. Superagent exists to close the gap between what AI agents can do and what teams can confidently deploy. Before LLMs existed, they built a startup that automated advertising for e-commerce companies using proprietary algorithms. The company was acquired. They have experience from companies including Google, SKF, Klarna, and Trustly.

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
6,501
GitHub Stars
24,254
960
GitHub Forks
2,403
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

Superagent

0% positive100% neutral0% negative

Graphiti

0% positive100% neutral0% negative
Pricing

Superagent

tiered

Graphiti

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

Graphiti (1)

Quick Start
Features

Only in Superagent (4)

Open SourceResourcesCommunityCompany

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
20
GitHub Repos
11
426
GitHub Followers
417
20
npm Packages
13
6
HuggingFace Models
—
—
SO Reputation
—
Product Screenshots

Superagent

Superagent screenshot 1

Graphiti

Graphiti screenshot 1Graphiti screenshot 2Graphiti screenshot 3
Company Intel
information technology & services
Industry
information technology & services
2
Employees
6,000
$0.1M
Funding
$7.9B
Seed
Stage
Other
Supported Languages & Categories

Superagent

AI safetyAI complianceprompt injection defenseAI securityenterprise AI safety

Graphiti

AI/MLFinTechDevOpsSecurityAnalytics
View Superagent Profile View Graphiti Profile