AWorld

AWorld (Agent World) is an agent runtime/framework. It supports building, evaluating, and training self-improving intelligent agents and multi-agent systems (MAS). It is designed to provide infrastructure for agent orchestration, iterative learning, and environment interaction at scale. Scalable training across environments and distributed setups. Support for multi-agent collaboration/orchestration (MAS). The system is intended to help agents evolve via experience. It provides features to help and coordinate across multiple agents. It can also scale their training across environments.

Features

Workflow orchestration for task sequences across agents
Agent construction APIs for building autonomous agents
Support for multi-agent collaboration / orchestration (MAS)
Scalable training across environments and distributed setups
Stability / maneuvering mechanisms (e.g. guard agents, verification) to correct reasoning errors
Benchmarking (e.g. GAIA tasks, multi-agent reasoning) support

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License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python AI Agent Frameworks

Registered

2025-09-29

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