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Tools/Pydantic AI vs Graphiti
Pydantic AI

Pydantic AI

framework
vs
Graphiti

Graphiti

framework

Pydantic AI vs Graphiti — Comparison

Overview
What each tool does and who it's for

Pydantic AI

GenAI Agent Framework, the Pydantic way

GenAI Agent Framework, the Pydantic way Pydantic AI is a Python agent framework designed to help you quickly, confidently, and painlessly build production grade applications and workflows with Generative AI. FastAPI revolutionized web development by offering an innovative and ergonomic design, built on the foundation of Pydantic Validation and modern Python features like type hints. Yet despite virtually every Python agent framework and LLM library using Pydantic Validation, when we began to use LLMs in Pydantic Logfire, we couldn't find anything that gave us the same feeling. We built Pydantic AI with one simple aim: to bring that FastAPI feeling to GenAI app and agent development. Realistically though, no list is going to be as convincing as giving it a try and seeing how it makes you feel! Here's a minimal example of Pydantic AI: The exchange will be very short: Pydantic AI will send the instructions and the user prompt to the LLM, and the model will return a text response. Here is a concise example using Pydantic AI to build a support agent for a bank: Complete bank_support.py example Even a simple agent with just a handful of tools can result in a lot of back-and-forth with the LLM, making it nearly impossible to be confident of what's going on just from reading the code. To understand the flow of the above runs, we can watch the agent in action using Pydantic Logfire. To do this, we need to set up Logfire, and add the following to our code: That's enough to get the following view of your agent in action: See Monitoring and Performance to learn more. The Pydantic AI documentation is available in the llms.txt format. This format is defined in Markdown and suited for LLMs and AI coding assistants and agents. As of today, these files are not automatically leveraged by IDEs or coding agents, but they will use it if you provide a link or the full text. Read the docs to learn more about building applications with Pydantic AI. Read the API Reference to understand Pydantic AI's interface.

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
15,963
GitHub Stars
24,254
1,853
GitHub Forks
2,403
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

Pydantic AI

0% positive100% neutral0% negative

Graphiti

0% positive100% neutral0% negative
Pricing

Pydantic AI

tiered

Pricing found: $123.45., $123.45.

Graphiti

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

Graphiti (1)

Quick Start
Features

Only in Pydantic AI (2)

In a real use case, you'd add more tools and longer instructions to the agent to extend the context it's equipped with and support it can provide.Configure the Logfire SDK, this will fail if project is not set up.

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
73
GitHub Repos
11
2,534
GitHub Followers
417
20
npm Packages
13
12
HuggingFace Models
—
—
SO Reputation
—
Product Screenshots

Pydantic AI

Pydantic AI screenshot 1

Graphiti

Graphiti screenshot 1Graphiti screenshot 2Graphiti screenshot 3
Company Intel
information technology & services
Industry
information technology & services
28
Employees
6,000
$17.2M
Funding
$7.9B
Series A
Stage
Other
Supported Languages & Categories

Pydantic AI

AI/MLAnalyticsDeveloper Tools

Graphiti

AI/MLFinTechDevOpsSecurityAnalytics
View Pydantic AI Profile View Graphiti Profile