AWorld
Active·★ 1.2k·MIT·Updated 2026-05-29
★ Trending★ Essential
Build, evaluate and train General Multi-Agent Assistance with ease
AWorld is an open-source framework for building and evolving intelligent agents within rich, complex environments. It provides core components for agentic learning, including environment access, agent construction, experience retrieval, and model training.
#Multi-Agent Systems#AI Agents#Large Language Models#Reinforcement Learning#Environment Simulation
01
Features
01Online Access to Complex Environments
02Efficient Agent Construction
03Comprehensive Experience Trajectory Capture
04Flexible Model Training Modes
05Meta-Learning for Agent System Evolution
02
Compatibility
AWorld Hosted Environments
Native
Verified via docs
OpenAI
Supported
Verified via docs
vLLM
Supported
Verified via docs
Generic LLM Endpoints
Flexible Integration
Verified via docs
03
Quick start
1
$ pip install -e .
04
Use cases
↳Agent Benchmarking (e.g., GAIA, OSWorld, VisualWebArena)
↳Complex Problem Solving (e.g., IMO Math Problems)
↳Automated Deep Research and Web Navigation
05
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