multi_agent_orchestration

multi_agent_orchestration is an agent for coding agents from kivo360/OmoiOS. It costs 0 tokens per session (11,968 once invoked), scanned A, original, Apache-2.0.

A technical design for coordinating multiple AI agents through a monitored workflow system. It describes the architecture, components, data flows, fault handling, and recovery patterns.

In plain words
What is it for?
Use it to plan orchestration components such as guardian, watchdog, and workflow-coordinator agents, along with monitoring and automated recovery.
Why use it?
It gives teams a shared model for running agent workflows while tracking their progress and responding when something goes wrong.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/kivo360/omoios/multi_agent_orchestration
Clone the repo
git clone --depth 1 https://github.com/kivo360/OmoiOS

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for multi_agent_orchestration

README.md
[![agentmods](https://agentmods.dev/badge/agents/kivo360/omoios/multi_agent_orchestration.svg)](https://agentmods.dev/agents/kivo360/omoios/multi_agent_orchestration)
Your own site
<a href="https://agentmods.dev/agents/kivo360/omoios/multi_agent_orchestration"><img src="https://agentmods.dev/badge/agents/kivo360/omoios/multi_agent_orchestration.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 11,968 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.11968
Opus 5 $0.00000 $0.05984
Sonnet 5 $0.00000 $0.02394
Haiku 4.5 $0.00000 $0.01197

Measured 5d ago against content hash 2beafbf4a52b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

multi_agent_orchestration scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

docs/.archive-20260422-0900/design/agents/multi_agent_orchestration.md · 1,614 lines

How it starts

The opening of the file, as written. The whole thing — 1,614 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Multi-Agent Workflow Orchestration System - Product Design Document

Created: 2025-11-20 Status: Draft Purpose: Technical design specification for the multi-agent workflow orchestration system, covering architecture, components, data flows, and patterns. Related: ../requirements/multi_agent_orchestration.md


Document Overview

This product design document specifies the architecture, components, data flows, and implementation patterns for a multi-agent workflow orchestration system. The system provides comprehensive monitoring, fault tolerance, and automated recovery for AI agent workflows.

Target Audience: AI spec agents (Kiro, Cursor, Cline), implementation teams, system architects

Related Document: Requirements Document


1. System Architecture

1.1 High-Level Architecture

┌─────────────────────────────────────────────────────────────────────┐
│                        ORCHESTRATION LAYER                          │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐                │
│  │   Guardian  │  │   Watchdog  │  │  Workflow   │                │
│  │    Agent    │  │    Agent    │  │  Coordinator│                │
│  └─────────────┘  └─────────────┘  └─────────────┘                │
└─────────────────────────────────────────────────────────────────────┘
                              │
                              ▼
┌─────────────────────────────────────────────────────────────────────┐
│                         MONITORING LAYER                            │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐                │
│  │   Monitor   │  │   Monitor   │  │   Monitor   │                │
│  │   Agent 1   │  │   Agent 2   │  │   Agent N   │                │
│  └─────────────┘  └─────────────┘  └─────────────┘                │
└─────────────────────────────────────────────────────────────────────┘
                              │
                              ▼
┌─────────────────────────────────────────────────────────────────────┐
│                          EXECUTION LAYER                            │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐                │
│  │   Worker    │  │   Worker    │  │   Worker    │                │
│  │   Agent 1   │  │   Agent 2   │  │   Agent N   │                │
│  └─────────────┘  └─────────────┘  └─────────────┘                │
└─────────────────────────────────────────────────────────────────────┘
                              │
                              ▼
┌─────────────────────────────────────────────────────────────────────┐
│                        INFRASTRUCTURE LAYER                         │
│  ┌─────────┐  ┌─────────┐  ┌─────────┐  ┌─────────┐              │
│  │  Event  │  │  State  │  │   MCP   │  │  Metric │              │
│  │   Bus   │  │  Store  │  │ Servers │  │  Store  │              │
│  └─────────┘  └─────────┘  └─────────┘  └─────────┘              │
└─────────────────────────────────────────────────────────────────────┘

Read the full file on GitHub · 1,614 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 1,614 lines · 0 tokens per session scan A 2beafbf4a52b

Subscribe to this mod's changes

multi_agent_orchestration is an agent published in the GitHub repository kivo360/OmoiOS (75 stars, last pushed 2mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 11,968 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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