AWorld
Search, understand, reproduce, and improve an idea with ease
Source#
- Repository: inclusionAI/AWorld
- Last source update: 2026-04-03
- Last verified: 2026-04-05
Tags#
Integration notes#
Repository is focused on tool/server interoperability; wrap in bounded worker contracts for production use.
worker.md example#
Starter worker.md contract mapped from this registry entry. Copy this file and adapt schemas, constraints, and statuses for your task.
---
id: aworld-repo-derived-worker
name: AWorld Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/aworld/
source_repository: https://github.com/inclusionAI/AWorld
repository_default_branch: main
repository_language: Python
repository_license: MIT
repository_updated_at: 2026-04-03
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.95
derived_on: 2026-04-05
tags:
- agent-framework
- agent-learning
- agent-runtime
- browsecomp
- environment
- gaia
---
# AWorld Repo-Derived Worker
## Repo-derived summary
- Registry summary: Search, understand, reproduce, and improve an idea with ease
- Repository description: Search, understand, reproduce, and improve an idea with ease
- Stars (snapshot): 1,171
- Primary language: Python
- Worker mode classification: agent-orchestration-worker
## Extracted from
- https://github.com/inclusionAI/AWorld
- https://github.com/inclusionAI/AWorld/blob/main/README.md
- https://github.com/inclusionAI/AWorld-RL
- https://github.com/inclusionAI/AWorld/tree/main/train
- https://huggingface.co/inclusionAI/Qwen3-32B-AWorld
## Evidence notes (from repository text)
- README summary paragraph: [![Twitter Follow][twitter-image]][twitter-url] [![WeChat QR Code][wechat-image]][wechat-url] [![Discord][discord-image]][discord-url] [![License: MIT][license-image]][license-url] [![DeepWiki][deepwiki-image]][deepwiki-url] [![Tutorial][tutorial-image]][tutorial-url]
- # AWorld: The Agent Harness for Your World
- [Automation](#your-journey-with-aworld-cli) |
- [Manual](#total-control-manually-crafting-agent-systems) |
- The journey from an idea to an evolved, autonomous agent begins at your fingertips.
- AWorld-CLI goes beyond simple scaffolding. It acts as a central brain, the AWorld Agent, which orchestrates a team of specialized sub-agents to build, evaluate, and even evolve other agents autonomously.
## Installation hints found in README
- `pip install -e . && cd aworld-cli && pip install -e .`
## worker.md contract (derived starter)
Purpose: Execute one orchestrated agent task as a bounded worker step.
### Input schema
```json
{
"type": "object",
"additionalProperties": false,
"required": [
"run_id",
"task",
"context"
],
"properties": {
"run_id": {
"type": "string"
},
"task": {
"type": "string"
},
"context": {
"type": "object"
}
}
}
```
### Output schema
```json
{
"type": "object",
"additionalProperties": false,
"required": [
"run_id",
"status",
"result"
],
"properties": {
"run_id": {
"type": "string"
},
"status": {
"type": "string",
"enum": [
"ok",
"retryable_error",
"invalid_request",
"invalid_output"
]
},
"result": {
"type": "object"
}
}
}
```
### Constraints
- timeout_seconds: 30
- max_attempts: 2
- idempotency_key: run_id
- status_enum: [ok, retryable_error, invalid_request, invalid_output]
- notes: adapt to concrete APIs/classes documented in this repository before production use
## How this should be used
1. Treat this file as a repo-derived starter profile, not a claim of an official repository API contract.
2. Replace schemas with exact interfaces from code/docs you adopt.
3. Keep execution bounded and auditable using worker protocol constraints.
How to use#
- Save this as a worker spec file (for example:
aworld-my-task.worker.md). - Replace the input/output schemas and purpose with your real bounded task.
- Enforce schema validation + timeout + retry policy in your runtime before production use.
Citation#
Reference URL: https://worker.md/registry/aworld/
Source URL: https://github.com/inclusionAI/AWorld