AI Worker worker.md

open-multi-agent

TypeScript multi-agent framework — one runTeam() call from goal to result. Auto task decomposition, parallel execution. 3 dependencies, deploys anywhere Node.js runs.

Agent framework 4,285 stars TypeScript MIT Worker-compatible

Source#

Tags#

agent-frameworkai-agentsanthropicclaudellmmodel-agnostic

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: open-multi-agent-repo-derived-worker
name: open-multi-agent Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/open-multi-agent/
source_repository: https://github.com/JackChen-me/open-multi-agent
repository_default_branch: main
repository_language: TypeScript
repository_license: MIT
repository_updated_at: 2026-04-05
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
  - ai-agents
  - anthropic
  - claude
  - llm
  - model-agnostic
---

# open-multi-agent Repo-Derived Worker

## Repo-derived summary
- Registry summary: TypeScript multi-agent framework — one runTeam() call from goal to result. Auto task decomposition, parallel execution. 3 dependencies, deploys anywhere Node.js runs.
- Repository description: TypeScript multi-agent framework — one runTeam() call from goal to result. Auto task decomposition, parallel execution. 3 dependencies, deploys anywhere Node.js runs.
- Stars (snapshot): 4,285
- Primary language: TypeScript
- Worker mode classification: agent-orchestration-worker

## Extracted from
- https://github.com/JackChen-me/open-multi-agent
- https://github.com/JackChen-me/open-multi-agent/blob/main/README.md
- https://img.shields.io/github/stars/JackChen-me/open-multi-agent
- https://img.shields.io/github/license/JackChen-me/open-multi-agent
- https://github.com/JackChen-me/open-multi-agent/issues/25

## Evidence notes (from repository text)
- README summary paragraph: TypeScript framework for multi-agent orchestration. One `runTeam()` call from goal to result — the framework decomposes it into tasks, resolves dependencies, and runs agents in parallel.
- TypeScript framework for multi-agent orchestration. One `runTeam()` call from goal to result — the framework decomposes it into tasks, resolves dependencies, and runs agents in parallel.
- - **Auditable and Lightweight** — 3 runtime dependencies (`@anthropic-ai/sdk`, `openai`, `zod`). 33 source files. The entire codebase is readable in an afternoon.
- - **Model Agnostic** — Claude, GPT, Gemma 4, and local models (Ollama, vLLM, LM Studio, llama.cpp server) in the same team. Swap models per agent via `baseURL`.
- - **Multi-Agent Collaboration** — Agents with different roles, tools, and models collaborate through a message bus and shared memory.
- - **Structured Output** — Add `outputSchema` (Zod) to any agent. Output is parsed as JSON, validated, and auto-retried once on failure. Access typed results via `result.structured`.

## Installation hints found in README
- `npm install`, import, run. No Python runtime, no subprocess bridge, no sidecar services. Embed in Express, Next.js, serverless functions, or CI/CD pipelines.`
- `npm install @jackchen_me/open-multi-agent`

## 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: open-multi-agent-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/open-multi-agent/

Source URL: https://github.com/JackChen-me/open-multi-agent