Camel AI vs Graphiti — Features, Pricing & Reviews Compared

Camel AI

framework

Graphiti

framework

Overview

What each tool does and who it's for

Camel AI

CAMEL-AI is an open-source community for finding the scaling laws of agents for data generation, world simulation, task automation.

CAMEL-AI is an open-source community for finding the scaling laws of agents for data generation, world simulation, and task automation. Founder and CEO @ CAMEL-AI Eigent.AI King Abdullah University of Science and Technology

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)

16,551

GitHub Stars

24,254

1,849

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

Camel AI

0% positive100% neutral0% negative

Graphiti

0% positive100% neutral0% negative

Pricing

Camel AI

tiered

Graphiti

per-seat + tiered

Use Cases

When to use each tool

Graphiti (1)

Quick Start

Features

Only in Camel AI (10)

Number of AgentsEnvironmentsEvolutionOASIS: Open Agent Social Interaction Simulations with One Million AgentsLoong: Synthesize Long Chain-of-Thoughts at Scale through VerifiersCRAB: Cross-environment Agent Benchmark for Multimodal Language Model AgentsCan Large Language Model Agents Simulate Human Trust Behavior?Research with UsWorkforceCAMEL Toolkit

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

1,586

GitHub Followers

417

npm Packages

HuggingFace Models

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SO Reputation

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Product Screenshots

Camel AI

Graphiti

Company Intel

research

Industry

information technology & services

Employees

6,000

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Funding

$7.9B

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Stage

Other

Supported Languages & Categories

Camel AI

CAMEL-AImulti-agentAI agentsdata generationworld simulation

Graphiti

AI/MLFinTechDevOpsSecurityAnalytics

View Camel AI Profile View Graphiti Profile

Camel AI

Graphiti

Camel AI vs Graphiti — Comparison

Camel AI

Graphiti

Camel AI vs Graphiti — Comparison