AI Worker worker.md

stoneforge

A web dashboard and runtime for orchestrating AI coding agents

Agent framework 125 stars TypeScript Apache-2.0 Worker-compatible

Source#

Tags#

agent-frameworkagentsaiai-agentsevent-sourcingllm

Integration notes#

Framework-level abstraction; derive bounded worker contracts from concrete tasks and APIs in docs/examples.

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: stoneforge-repo-derived-worker
name: stoneforge Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/stoneforge/
source_repository: https://github.com/stoneforge-ai/stoneforge
repository_default_branch: master
repository_language: TypeScript
repository_license: Apache-2.0
repository_updated_at: 2026-04-19
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.95
derived_on: 2026-04-19
tags:
  - agent-framework
  - agents
  - ai
  - ai-agents
  - event-sourcing
  - llm
---

# stoneforge Repo-Derived Worker

## Repo-derived summary
- Registry summary: A web dashboard and runtime for orchestrating AI coding agents
- Repository description: A web dashboard and runtime for orchestrating AI coding agents
- Stars (snapshot): 125
- Primary language: TypeScript
- Worker mode classification: agent-orchestration-worker

## Extracted from
- https://github.com/stoneforge-ai/stoneforge
- https://github.com/stoneforge-ai/stoneforge/blob/master/README.md
- https://docs.anthropic.com/en/docs/claude-code/agent-teams
- https://cla-assistant.io/stoneforge-ai/stoneforge

## Evidence notes (from repository text)
- README summary paragraph: A web dashboard and runtime for orchestrating AI coding agents
- A web dashboard and runtime for orchestrating AI coding agents
- If a single coding agent handles your workload today, you probably don't need this yet. It'll be here once you start running multiple agents in parallel.
- Running one AI coding agent is simple. Running several in parallel — a planner, coders, a reviewer — breaks down fast:
- - **Merge conflicts** — agents edit the same files on the same branch
- - **Wasted work** — two agents grab the same task, or one starts on work that's blocked

## Installation hints found in README
- `npm install -g @stoneforge/smithy`
- `npm install && sf init`
- `npm install @stoneforge/core @stoneforge/storage @stoneforge/quarry`
- `npm install @stoneforge/smithy # Agent orchestration`

## 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: stoneforge-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/stoneforge/

Source URL: https://github.com/stoneforge-ai/stoneforge