Mastra vs Graphiti — Features, Pricing & Reviews Compared

Mastra

framework

Graphiti

framework

Overview

What each tool does and who it's for

Mastra

An open-source TypeScript framework for building, testing and deploying AI agents and applications with ease, from idea to production.

Mastra is looking to hire across all roles for talented individuals looking to join a fast-growing company focused on serving developers. If you want to help shape the future of AI application development, we want to speak with you.

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

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Avg Rating

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Mentions (30d)

22,509

GitHub Stars

24,254

1,816

GitHub Forks

2,403

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npm Downloads/wk

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PyPI Downloads/mo

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Community Sentiment

How developers feel about each tool based on mentions and reviews

Mastra

0% positive100% neutral0% negative

Graphiti

0% positive100% neutral0% negative

Pricing

Mastra

tiered

Graphiti

per-seat + tiered

Use Cases

When to use each tool

Graphiti (1)

Quick Start

Features

Only in Mastra (6)

DevelopersBrowser AgentGoogle Sheet AnalysisChat with DatabasePrinciples of Building AI AgentsMCP Course Mastra 101

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

102

GitHub Repos

489

GitHub Followers

417

npm Packages

HuggingFace Models

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SO Reputation

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Product Screenshots