Open Multi Agent

OMA

Agents your organization can own, approve, and audit. OMA (Open Multi-Agent) is a self-hosted TypeScript agent runtime: consequential actions wait for durable, tamper-evident approvals, and every run leaves a record you can verify offline, byte for byte.

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No telemetry. No hosted control plane. Your keys, your models — cloud, local (Ollama, vLLM, llama-server), or Chinese providers — your environment. Nothing stops working when the people who built it leave.

Get started

Requires Node.js 20 or newer. For production, use a currently maintained Node.js LTS release. Node.js 20 is upstream-EOL and retained only as a migration compatibility window; OMA will remove it in the next major release, no earlier than 2026-10-31.

Scaffold a PR review agent, security analysis agent, or teaching DAG:

npm create oma-app@latest my-oma

In an interactive terminal, that one command selects a starter and runtime, installs dependencies, and runs a deterministic local demo. The demo needs no API key and makes no model request: scripted model responses drive the real OMA scheduler, result aggregation, and offline dashboard.

Or add OMA to an existing backend:

npm install @open-multi-agent/core

import { FileStore, OpenMultiAgent } from '@open-multi-agent/core'

// Your keys and your endpoint: a hosted provider, or a local server through baseURL.
const oma = new OpenMultiAgent({
  defaultProvider: 'openai',
  defaultModel: 'gpt-5.4',
  // Consequential tool calls (file writes, shell) pause for a human decision.
  onToolCall: ({ consequential }) => (consequential ? { action: 'suspend' } : { action: 'allow' }),
})

const team = oma.createTeam('ops', {
  name: 'ops',
  agents: [{ name: 'operator', systemPrompt: 'Reconcile overdue invoices.', toolPreset: 'readwrite' }],
})

// The checkpoint store keeps the run and its pending approvals durable.
const result = await oma.runTeam(team, 'Find overdue invoices and draft the reminders.', {
  checkpoint: { store: new FileStore('./.oma/run.json') },
})

// result.status?.code === 'suspended' until a reviewer decides result.pendingApprovals,
// each bound to a hash of exactly what the reviewer was shown.

Set OPENAI_API_KEY to run this example. Providers covers other hosted models, local servers, OpenAI-compatible endpoints, and AI SDK providers.

runAgent() runs a single agent, runTasks() executes an explicit pipeline, and runTeam() plans from a goal. The Core package guide walks through all three modes, provider and credential setup, and the production checklist. The example index lists every runnable example across basics, cookbook workflows, patterns, providers, and integrations.

Durable approvals

A plan, task dispatch, or tool-call gate can return suspend. The request is stored beside the checkpoint, bound to a SHA-256 hash of exactly what the reviewer saw, and the run resumes from that content after a restart. A decision is atomic and first-wins; a tampered request or a store without compare-and-set fails closed.