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
Section	Agent frameworks
Pricing	free
Platform	Web + desktop
Systems	linux, web
Site language	en
Rating	0.00 (0 reviews)
Views	1 870
Launched	2024-08-12

Can do

agents api summarization vision open-source multimodal

Integrations

claude gemini openai slack anthropic excel

Platforms

Tags

agents api vision multimodal summarization open-source Benchmark autonomous agent Multimodal Language Model GUI automation

Social

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Found in sources

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