Griptape vs Graphiti — Features, Pricing & Reviews Compared

Griptape

framework

Graphiti

framework

Overview

What each tool does and who it's for

Griptape

Griptape enables creatives to orchestrate multiple AI models and agents within secure, professional workflows. It’s predictable, controllable, and bui

Griptape enables creatives to orchestrate multiple AI models and agents within secure, professional workflows. It’s predictable, controllable, and built for the way you think.

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)

2,505

GitHub Stars

24,254

224

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

Griptape

0% positive100% neutral0% negative

Graphiti

0% positive100% neutral0% negative

Pricing

Griptape

tiered

Graphiti

per-seat + tiered

Use Cases

When to use each tool

Graphiti (1)

Quick Start

Features

Only in Griptape (10)

Creatives/non-technical users → Explore NodesCreate advanced AI pipelines with a drag-and-drop interface.Build, group, and edit workflows visually.Effortless Cloud integration.Focus on your vision, not the tooling.Product teams → Start with CloudDeploy and run the ETL, RAG, and structures you developed.Simple API abstractions.Skip the infrastructure management.Scale seamlessly so you can grow with your workload requirements.

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

GitHub Repos

155

GitHub Followers

417

npm Packages

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HuggingFace Models

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SO Reputation

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Product Screenshots