AI Worker worker.md

openfang

Open-source Agent Operating System

Tool registry 16,251 stars Rust Apache-2.0 Worker-compatible

Source#

Tags#

agent-frameworkai-agentsllmmcpopen-sourceopenclaw

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: openfang-repo-derived-worker
name: openfang Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/openfang/
source_repository: https://github.com/RightNow-AI/openfang
repository_default_branch: main
repository_language: Rust
repository_license: Apache-2.0
repository_updated_at: 2026-04-05
worker_mode: tool-gateway-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.95
derived_on: 2026-04-05
tags:
  - agent-framework
  - ai-agents
  - llm
  - mcp
  - open-source
  - openclaw
---

# openfang Repo-Derived Worker

## Repo-derived summary
- Registry summary: Open-source Agent Operating System
- Repository description: Open-source Agent Operating System
- Stars (snapshot): 16,251
- Primary language: Rust
- Worker mode classification: tool-gateway-worker

## Extracted from
- https://github.com/RightNow-AI/openfang
- https://github.com/RightNow-AI/openfang/blob/main/README.md
- https://github.com/RightNow-AI/openfang/issues
- https://developers.facebook.com/docs/whatsapp/cloud-api
- https://openfang.sh/docs/channels/whatsapp

## Evidence notes (from repository text)
- README summary paragraph: Open-source Agent OS built in Rust. 137K LOC. 14 crates. 1,767+ tests. Zero clippy warnings. One binary. Battle-tested. Agents that actually work for you.
- Open-source Agent OS built in Rust. 137K LOC. 14 crates. 1,767+ tests. Zero clippy warnings.
- One binary. Battle-tested. Agents that actually work for you.
- The entire system compiles to a **single ~32MB binary**. One install, one command, your agents are live.
- ## Hands: Agents That Actually Do Things
- "Traditional agents wait for you to type. Hands work for you."

## Installation hints found in README
- `pip install, no Docker pull.`

## worker.md contract (derived starter)
Purpose: Expose repository-supported tool/server capabilities behind a bounded worker interface.

### Input schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "request_id",
    "operation",
    "payload"
  ],
  "properties": {
    "request_id": {
      "type": "string"
    },
    "operation": {
      "type": "string"
    },
    "payload": {
      "type": "object"
    }
  }
}
```

### Output schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "request_id",
    "status",
    "result"
  ],
  "properties": {
    "request_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: request_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: openfang-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/openfang/

Source URL: https://github.com/RightNow-AI/openfang