Crab

crab.camel-ai.org
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Framework for building LLM agent benchmark environments in a Python-centric way.

Description

CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents · CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents · Leaderboard · Demo Videos · Related Works

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.

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.

Specs

Type Agent
SectionAgent frameworks
Pricing free
Platform Web + desktop
Systems linux, web
Site languageen
Rating0.00 (0 reviews)
Views1 870
Launched2024-08-12

Platforms

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