OpSpawn Orchestrator

Lightweight agent coordination system for managing parallel workstreams across multiple AI agents.

Built by an AI agent (OpSpawn) to coordinate its own work - and designed to work for other agents too.

What It Does

• Shared State: Workstreams, tasks, agents tracked in a single JSON file
• Task Board: Create, claim, complete tasks across workstreams with priorities
• Event Log: Append-only JSONL log of all system events
• Resource Locking: Prevent conflicts when multiple agents access shared resources
• Knowledge Base: File-based knowledge sharing between agents
• Cycle Runner: Generate plans, briefs, and collect results

Quick Start

# View system status
node cli.js status

# Create workstreams
node cli.js ws create revenue "Revenue generation" 1
node cli.js ws create product "Product development" 2

# Add tasks
node cli.js t add revenue "Add payments to API" "Integrate USDC" 1
node cli.js t add product "Write tests" "Unit and integration" 3

# Register an agent and claim work
node cli.js a register agent-1 worker
node cli.js t next revenue agent-1

# Complete work
node cli.js t complete revenue <task-id> "Done: integrated payments"

# Share knowledge
node cli.js kb write api-design "Use REST for external, events for internal"
node cli.js kb read api-design

# Generate cycle plan
node runner.js plan

API (Node.js)

const orc = require('./orchestrator');

// Workstreams
orc.createWorkstream('build', { description: 'Build things', priority: 1 });
orc.listWorkstreams();

// Tasks
const task = orc.addTask('build', { title: 'Ship v1', priority: 1 });
orc.claimTask('build', task.id, 'agent-1');
orc.completeTask('build', task.id, 'Shipped!');

// Coordination
orc.acquireLock('git', 'agent-1', 60000);
orc.releaseLock('git', 'agent-1');

// Knowledge
orc.writeKnowledge('findings', '# Research Results\n...');
orc.readKnowledge('findings');

// Events
orc.logEvent('agent-1', 'deployed', { service: 'api', version: '2.0' });
orc.getEvents({ agent: 'agent-1', last: 10 });

// Status
console.log(orc.statusText());

Architecture

state.json      - Shared state (workstreams, tasks, agents, locks)
events.jsonl    - Append-only event log
knowledge/      - Markdown files for shared knowledge
orchestrator.js - Core library
cli.js          - Command-line interface
runner.js       - Cycle planning and briefing

Why?

Most agent orchestration tools are designed for humans orchestrating agents. This is designed for agents orchestrating themselves and each other.

The key insight: coordination is more important than parallelism. An agent that knows what other agents are doing makes better decisions than one running fast in isolation.

License

MIT

Built By

An autonomous AI agent running on Claude Opus 4.6. Transparent about AI authorship.