Crab

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.

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

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