Back to List
/images/tools/logo/crab_logo.png logo

Crab

A framework designed for constructing environments for benchmarking large language model agents, focusing on a Python-centric approach.

Overview

Crab is a comprehensive framework developed by Camel AI for constructing and evaluating environments specifically designed for large language model agents. It supports the creation of cross-platform environments, enabling deployment across in-memory systems, Docker-hosted setups, virtual machines, or distributed physical machines. Crab offers a user-friendly interface centered on Python for defining agent environments and actions, providing flexibility for a variety of applications. Moreover, it features an innovative benchmarking suite that delivers detailed evaluation metrics.

LLM
Agent Benchmarking
Python Framework
Multimodal Agents
Cross-environment

Key Features

  • Cross-platform and Multi-environment Deployment
  • Unified Interface for Environment Access
  • Python-native Configuration
  • Innovative Benchmarking Suite
  • Detailed Graph Evaluator

Use Cases

  • Benchmarking large language model agents
  • Cross-environment Testing
  • Handling multimodal data
  • Simulating agent environments
  • Python-based agent development

Details

Category: AI Agents Builder

Industry: Technology

Pricing Model: Free

Access: Open Source

Preview

Crab Preview