AI Worker worker.md

agents-universe

让智能体像人一样学习和工作,共享智能体和项目记忆

Automation platform 292 stars Python Apache-2.0 Worker-compatible

Source#

Tags#

agentagent-frameworkagent-orchestrationagenticagentic-workflowai-agents

Integration notes#

Repository is workflow-oriented; map each workflow step to explicit worker contracts for predictability.

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: agents-universe-repo-derived-worker
name: agents-universe Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/agents-universe/
source_repository: https://github.com/agents-universe/agents-universe
repository_default_branch: main
repository_language: Python
repository_license: Apache-2.0
repository_updated_at: 2026-09-06
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.95
derived_on: 2026-09-06
tags:
  - agent
  - agent-framework
  - agent-orchestration
  - agentic
  - agentic-workflow
  - ai-agents
---

# agents-universe Repo-Derived Worker

## Repo-derived summary
- Registry summary: 让智能体像人一样学习和工作,共享智能体和项目记忆
- Repository description: 让智能体像人一样学习和工作,共享智能体和项目记忆
- Stars (snapshot): 292
- Primary language: Python
- Worker mode classification: agent-orchestration-worker

## Extracted from
- https://github.com/agents-universe/agents-universe
- https://github.com/agents-universe/agents-universe/blob/main/README.md
- https://img.shields.io/website?url=https%3A%2F%2Fagents-universe.com&label=agents-universe.com&color=7c3aed
- https://github.com/agents-universe/agents-universe/actions/workflows/ci.yml/badge.svg
- https://agents-universe.com

## Evidence notes (from repository text)
- README summary paragraph: Agents Universe 是一个开源的企业级 AI Agent 平台。它不是又一个"更聪明的聊天框",而是要让智能体真正成为能干活的人:入职读懂文档、接任务先规划、以个人身份与权限执行、留下可审计的轨迹——并把这一切沉淀为每个人都能复用、共同建设的资产。
- https://github.com/agents-universe/agents-universe/actions/workflows/ci.yml/badge.svg](https://github.com/agents-universe/agents-universe/actions/workflows/ci.yml)
- Agents Universe 是一个开源的企业级 AI Agent 平台。它不是又一个"更聪明的聊天框",而是要让智能体真正成为能干活的人:入职读懂文档、接任务先规划、以个人身份与权限执行、留下可审计的轨迹——并把这一切沉淀为每个人都能复用、共同建设的资产。
- ![Agents Universe 系统界面](docs/images/system_screenshot.webp)
- > **本项目已部署在 https://agents-universe.com,并且正在被它自己管理。** 平台上的 **Product Owner** 与 **Tech Lead** 智能体,就是这个仓库的日常维护者:需求、代码、PR 都由智能体们在对话中完成。
- | **传承**:老带新,经验沉淀 | 技能(Skills)、工作流(Workflows)与知识条目把个人经验变成组织资产;开源共建,人人可用 |

## Installation hints found in README
- `pip install -e ../agent-core -e .`
- `pip install`、`find -delete` 等`

## 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: agents-universe-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/agents-universe/

Source URL: https://github.com/agents-universe/agents-universe