Crab

What is Crab?

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.

Key features

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

Use cases

• Benchmarking LLM Agents
• Cross-environment Testing
• Multimodal Data Handling
• Agent Environment Simulation
• Python-based Agent Development.