inclusionAI/AWorld

Health v2 · maintenance only

Adoption not part of the score

1227 stars · 126 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

AWorld is an open-source agent framework and runtime that orchestrates tools, memory, context, and execution for building autonomous AI agents. It lets domain experts encode their knowledge into reusable Skills and deploy fleets of agents, with a CLI for tasks like deep search and app creation.

Use cases

• build autonomous ai agents with tools and memory
• encode domain expertise into reusable agent skills
• run deep search workflows with a browsing agent
• orchestrate multi-agent systems with mcp tools
• train and evaluate agents on benchmarks like gaia and browsecomp
• create small apps from a single prompt via an agent cli

When to choose

• you want a full agent harness with runtime, skills, and CLI out of the box
• you need MCP support and multi-agent orchestration in Python
• you want to benchmark agents on GAIA, BrowseComp, or xbench
• you want experts to contribute domain knowledge as reusable skills

When to avoid

• you only need a simple single-prompt LLM wrapper without tool orchestration
• you need a production web framework rather than an agent runtime
• your stack is not Python-based

Facets

framework · maturity active

agent-framework mcp llm-inference rag cli workflow-automation large-language-models artificial-intelligence developer-tools python cli cross-platform agent-runtime world-model agent-skills deep-search rl-training multi-agent agent-harness ai-agents automation

Member repositories

For agents

markdown · JSON · MCP: product_card(name="inclusionAI/AWorld")