claude-flow-multilang
Version:
Revolutionary multilingual AI orchestration framework with cultural awareness and DDD architecture
141 lines (119 loc) ⢠5.53 kB
JavaScript
/**
* Hive Mind command for simple CLI
* Provides basic implementation that can work without TypeScript
*/
export async function hiveCommand(args, flags) {
const objective = (args || []).join(' ').trim();
if (!objective || flags.help || flags.h) {
showHiveHelp();
return;
}
console.log('š Initializing Hive Mind...');
console.log(`š Queen Genesis coordinating...`);
console.log(`š Objective: ${objective}`);
console.log(`šļø Topology: ${flags.topology || 'hierarchical'}`);
console.log(`š³ļø Consensus: ${flags.consensus || 'quorum'}`);
console.log(`š¤ Max Agents: ${flags['max-agents'] || 8}`);
console.log('');
// Simulate Hive initialization
const hiveId = `hive_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`;
console.log(`ā
Hive Mind initialized: ${hiveId}`);
console.log('');
// Show agent spawning
console.log('š Spawning specialized agents...');
const agents = [
{ type: 'š', name: 'Queen-Genesis', role: 'Orchestrator' },
{ type: 'šļø', name: 'Architect-Prime', role: 'System Design' },
{ type: 'š', name: 'Worker-1', role: 'Backend Development' },
{ type: 'š', name: 'Worker-2', role: 'Frontend Development' },
{ type: 'š', name: 'Scout-Alpha', role: 'Research & Analysis' },
{ type: 'š”ļø', name: 'Guardian-Omega', role: 'Quality Assurance' },
];
for (const agent of agents) {
console.log(` ${agent.type} ${agent.name} - ${agent.role}`);
}
console.log('');
// Show task decomposition
console.log('š§© Phase 1: Task Decomposition');
console.log(' š Queen proposes task breakdown...');
console.log(' š³ļø Agents voting on tasks...');
console.log(' ā
Consensus reached (87.5% approval)');
console.log('');
// Show task assignment
console.log('š³ļø Phase 2: Task Assignment');
console.log(' š analysis ā Scout-Alpha');
console.log(' š design ā Architect-Prime');
console.log(' š implementation ā Worker-1, Worker-2');
console.log(' š testing ā Guardian-Omega');
console.log(' š documentation ā Scout-Alpha');
console.log('');
// Show execution
console.log('ā” Phase 3: Parallel Execution');
console.log(' [āāāāāāāāāāāāāāāāāā] 40% - Analysis in progress...');
console.log(' [āāāāāāāāāāāāāāāāāā] 15% - Design starting...');
console.log(' [āāāāāāāāāāāāāāāāāā] 0% - Implementation pending...');
console.log('');
// Show monitoring dashboard
if (flags.monitor) {
console.log('š Hive Mind Dashboard');
console.log('āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā');
console.log('Status: EXECUTING | Time: ' + new Date().toLocaleTimeString());
console.log('');
console.log('Consensus: 87.5% | Tasks: 2/5 | Quality: 92%');
console.log('Messages: 42 | Knowledge: 15 entries');
console.log('āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā');
}
console.log('');
console.log('š Hive Mind is coordinating your objective...');
console.log('');
console.log('Note: This is a preview. Full Hive Mind functionality requires');
console.log('the complete TypeScript implementation to be built.');
}
function showHiveHelp() {
console.log(`
š Hive Mind - Advanced Multi-Agent Coordination
USAGE:
claude-flow hive <objective> [options]
DESCRIPTION:
Hive Mind implements advanced swarm intelligence with consensus mechanisms,
distributed decision-making, and quality-driven execution.
EXAMPLES:
claude-flow hive "Build microservices architecture"
claude-flow hive "Optimize database performance" --consensus unanimous
claude-flow hive "Develop ML pipeline" --topology mesh --monitor
TOPOLOGIES:
hierarchical Queen-led hierarchy (default)
mesh Peer-to-peer coordination
ring Sequential processing
star Centralized hub
CONSENSUS MECHANISMS:
quorum Simple majority (default)
unanimous All agents must agree
weighted Capability-based voting
leader Queen decides with input
OPTIONS:
--topology <type> Swarm topology (default: hierarchical)
--consensus <type> Decision mechanism (default: quorum)
--max-agents <n> Maximum agents (default: 8)
--quality-threshold <n> Min quality 0-1 (default: 0.8)
--memory-namespace <ns> Memory namespace (default: hive)
--monitor Real-time monitoring
--background Run in background
--sparc Use SPARC methodology
--timeout <min> Timeout minutes (default: 60)
AGENT TYPES:
š Queen Orchestrator and decision maker
šļø Architect System design and planning
š Worker Implementation and execution
š Scout Research and exploration
š”ļø Guardian Quality and validation
FEATURES:
⢠Consensus-based task decomposition
⢠Capability-based task assignment
⢠Parallel execution with monitoring
⢠Quality-driven result aggregation
⢠Distributed memory sharing
⢠SPARC methodology support
For more info: https://github.com/chatman-media/claude-flow-multilang/docs/hive.md
`);
}