Crab
Framework for building LLM agent benchmark environments in a Python-centric way.
About 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.
Demo Video
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Frequently Asked Questions
- Cross-platform & Multi-environment Deployment
- Unified Interface for Environment Access
- Python-native Configuration
- Novel Benchmarking Suite
- Fine-grained Graph Evaluator.
Details
- Category: Agent Builder
- Industry: Technology
- Access: Open Source
- Pricing: Free
- Created By: Camel AI