AI Worker worker.md

hive

Outcome driven agent development framework and runtime harness

Automation platform 10,041 stars Python Apache-2.0 Worker-compatible

Source#

  • Repository: aden-hive/hive
  • Last source update: 2026-04-05
  • Last verified: 2026-04-05

Tags#

agentagent-frameworkagent-skillsanthropicautomationautonomous-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: hive-repo-derived-worker
name: hive Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/hive/
source_repository: https://github.com/aden-hive/hive
repository_default_branch: main
repository_language: Python
repository_license: Apache-2.0
repository_updated_at: 2026-04-05
worker_mode: workflow-automation-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.95
derived_on: 2026-04-05
tags:
  - agent
  - agent-framework
  - agent-skills
  - anthropic
  - automation
  - autonomous-agents
---

# hive Repo-Derived Worker

## Repo-derived summary
- Registry summary: Outcome driven agent development framework and runtime harness
- Repository description: Outcome driven agent development framework and runtime harness
- Stars (snapshot): 10,041
- Primary language: Python
- Worker mode classification: workflow-automation-worker

## Extracted from
- https://github.com/aden-hive/hive
- https://github.com/aden-hive/hive/blob/main/README.md
- http://honeycomb.open-hive.com/
- https://docs.adenhq.com/
- https://docs.adenhq.com/getting-started/quickstart

## Evidence notes (from repository text)
- README summary paragraph: English | 简体中文 | Español | हिन्दी | Português | 日本語 | Русский | 한국어
- The agent harness for production workloads — state management, failure recovery, observability, and human oversight so your agents actually run.
- - Want AI agents that **execute real business processes**, not demos
- - Need **self-healing and adaptive agents** that improve over time
- - Plan to run agents in **production** where uptime, cost, and auditability matter
- Hive may not be the best fit if you’re only experimenting with simple agent chains or one-off scripts.

## Installation hints found in README
- `pip install`.`
- `pip install -e .` from the repository root will create a placeholder package and Hive will not function correctly.`

## worker.md contract (derived starter)
Purpose: Execute one automation workflow step in a bounded worker run.

### Input schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "run_id",
    "trigger",
    "step"
  ],
  "properties": {
    "run_id": {
      "type": "string"
    },
    "trigger": {
      "type": "object"
    },
    "step": {
      "type": "string"
    }
  }
}
```

### Output schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "run_id",
    "step",
    "status",
    "artifacts"
  ],
  "properties": {
    "run_id": {
      "type": "string"
    },
    "step": {
      "type": "string"
    },
    "status": {
      "type": "string",
      "enum": [
        "ok",
        "retryable_error",
        "invalid_request",
        "invalid_output"
      ]
    },
    "artifacts": {
      "type": "array"
    }
  }
}
```

### 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: hive-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/hive/

Source URL: https://github.com/aden-hive/hive