open-multi-agent

Source#

• Repository: open-multi-agent/open-multi-agent
• Last source update: 2026-07-04
• Last verified: 2026-07-05

Tags#

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: 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/open-multi-agent/open-multi-agent
repository_default_branch: main
repository_language: TypeScript
repository_license: MIT
repository_updated_at: 2026-07-04
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.95
derived_on: 2026-07-05
tags:
  - agent-framework
  - agent-orchestration
  - agentic-ai
  - ai-agents
  - anthropic
  - autogen-alternative
---

# open-multi-agent Repo-Derived Worker

## Repo-derived summary
- Registry summary: TypeScript multi-agent orchestration framework. Describe a goal, a coordinator decomposes it into a task DAG that runs on any LLM: Claude, ChatGPT, Gemini, DeepSeek, or local models.
- Repository description: TypeScript multi-agent orchestration framework. Describe a goal, a coordinator decomposes it into a task DAG that runs on any LLM: Claude, ChatGPT, Gemini, DeepSeek, or local models. 
- Stars (snapshot): 6,492
- Primary language: TypeScript
- Worker mode classification: agent-orchestration-worker

## Extracted from
- https://github.com/open-multi-agent/open-multi-agent
- https://github.com/open-multi-agent/open-multi-agent/blob/main/README.md
- https://github.com/open-multi-agent/oma-nextjs-starter
- https://github.com/open-multi-agent/open-multi-agent/blob/main/docs/providers.md
- https://github.com/open-multi-agent/open-multi-agent/blob/main/docs/providers/minimax.md

## Evidence notes (from repository text)
- README summary paragraph: From a goal to a task DAG, automatically. TypeScript-native multi-agent orchestration.
- TypeScript-native multi-agent orchestration.
- One command scaffolds a project and starts a multi-agent DAG:
- Answer one prompt; the first run shows the coordinator turn one goal into a multi-agent DAG and opens a dashboard of the run (OpenAI or any OpenAI-compatible provider). To add the library to your own project:
- Most TypeScript teams picking a multi-agent layer are really choosing between OMA, LangGraph JS, and Mastra. The mechanism is what differs.
- `open-multi-agent` launched 2026-04-01 under MIT. Known users and integrations to date:

## Installation hints found in README
- `npm install @open-multi-agent/core`
- `npm install # install all workspaces`

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