AI Worker worker.md

AWorld

Search, understand, reproduce, and improve an idea with ease

Tool registry 1,171 stars Python MIT Worker-compatible

Source#

Tags#

agent-frameworkagent-learningagent-runtimebrowsecompenvironmentgaia

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