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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. 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
Project Samples
Categories
AI Agent FrameworksLicense
MIT LicenseFollow AWorld
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