Crab

Overview

Crab is a comprehensive framework designed by Camel AI for building and benchmarking environments tailored for large language model (LLM) agents. The platform supports the creation of cross-platform environments, allowing for deployment across in-memory systems, Docker-hosted environments, virtual machines, or distributed physical machines. Crab provides an easy-to-use Python-centric interface for defining agent environments and actions, making it flexible for various use cases. Additionally, it includes a novel benchmarking suite that provides fine-grained evaluation metrics.

Use Cases

• Cross-environment Testing,
• Multimodal Data Handling,
• Agent Environment Simulation,
• Python-based Agent Development.

Key Features

• Cross-platform & Multi-environment Deployment,
• Unified Interface for Environment Access,
• Python-native Configuration,
• Novel Benchmarking Suite,
• Fine-grained Graph Evaluator.