BUZZ: 60%
Framework for building LLM agent benchmark environments in a Python-centric way.
1,064
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.
Crab Key Features
Cross-platform & Multi-environment Deployment,
Unified Interface for Environment Access,
Python-native Configuration,
Novel Benchmarking Suite,
Fine-grained Graph Evaluator.
Crab Use Cases
Benchmarking LLM Agents,
Cross-environment Testing,
Multimodal Data Handling,
Agent Environment Simulation,
Python-based Agent Development.
Pricing
Free
Alternative AI Agents
Stay Ahead of the Curve with AI Agents updates