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open-orchestra

Multi-agent orchestrator plugin for OpenCode - spawn, manage, and coordinate specialized AI workers

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Open Orchestra

Multi-agent orchestration plugin for OpenCode. Spawn, manage, and coordinate specialized AI workers from a single conversation.

Quick Install

npx open-orchestra

This interactive setup will:

  • Add the plugin to your opencode.json
  • Create .opencode/orchestrator.json with worker profiles
  • Optionally create example skill files

Manual Installation

Add to your opencode.json:

{
  "plugin": ["open-orchestra@0.2.4"]
}

Then create .opencode/orchestrator.json:

{
  "$schema": "https://unpkg.com/open-orchestra@0.2.4/schema/orchestrator.schema.json",
  "autoSpawn": true,
  "profiles": [
    {
      "id": "coder",
      "name": "Code Implementer",
      "model": "anthropic/claude-sonnet-4-20250514",
      "purpose": "Write and edit code"
    },
    {
      "id": "docs",
      "name": "Documentation Librarian",
      "model": "anthropic/claude-sonnet-4-20250514",
      "purpose": "Research docs and find examples",
      "supportsWeb": true
    }
  ],
  "workers": ["coder", "docs"]
}

How It Works

  • Ask the orchestrator - It analyzes your request and delegates to specialized workers
  • Workers execute - Each worker has its own model, tools, and expertise
  • Results return - Summaries flow back to the main conversation

Worker Profiles

Define workers inline in orchestrator.json or as skills in .opencode/skill/<id>/SKILL.md:

---
name: vision
description: Analyze images and screenshots
model: anthropic/claude-sonnet-4-20250514
supportsVision: true
tools:
  read: true
  write: false
---

You are a vision specialist. Describe images accurately and extract relevant details.

Features

  • Multi-model orchestration - Use different models for different tasks
  • Tool isolation - Workers can have restricted tool access
  • Session modes - linked (shared context), child (inherited), isolated
  • Memory integration - Optional Neo4j-backed knowledge graph
  • Vision routing - Automatic image analysis via vision-capable workers

CLI Options

npx open-orchestra              # Interactive setup
npx open-orchestra --yes        # Accept all defaults
npx open-orchestra --minimal    # Minimal config only
npx open-orchestra --help       # Show help

Configuration Reference

See the full schema for all options.

FieldDescription
autoSpawnAuto-start workers on demand
profilesWorker definitions
workersWorkers to pre-spawn
memory.enabledEnable Neo4j memory graph
integrationsNeo4j, Linear, etc.

License

MIT

Keywords

opencode

FAQs

Package last updated on 28 Dec 2025

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