claude-flow
Version:
Ruflo - Enterprise AI agent orchestration for Claude Code. Deploy 60+ specialized agents in coordinated swarms with self-learning, fault-tolerant consensus, vector memory, and MCP integration
887 lines • 38.3 kB
JavaScript
/**
* V3 CLI Swarm Command
* Swarm coordination and management commands
*/
import { output } from '../output.js';
import { select, confirm } from '../prompt.js';
import { callMCPTool, MCPClientError } from '../mcp-client.js';
import * as fs from 'fs';
import * as path from 'path';
// Get dynamic swarm status from memory/session files
function getSwarmStatus(swarmId) {
const swarmDir = path.join(process.cwd(), '.swarm');
const sessionDir = path.join(process.cwd(), '.claude', 'sessions');
const memoryPaths = [
path.join(process.cwd(), '.swarm', 'memory.db'),
path.join(process.cwd(), '.claude', 'memory.db'),
];
// Check for active swarm state file
const swarmStateFile = path.join(swarmDir, 'state.json');
let swarmState = null;
if (fs.existsSync(swarmStateFile)) {
try {
swarmState = JSON.parse(fs.readFileSync(swarmStateFile, 'utf-8'));
}
catch {
// Ignore parse errors
}
}
// Count active agents from process files
let activeAgents = 0;
let totalAgents = 0;
const agentsDir = path.join(swarmDir, 'agents');
if (fs.existsSync(agentsDir)) {
try {
const agentFiles = fs.readdirSync(agentsDir).filter(f => f.endsWith('.json'));
totalAgents = agentFiles.length;
for (const file of agentFiles) {
try {
const agent = JSON.parse(fs.readFileSync(path.join(agentsDir, file), 'utf-8'));
if (agent.status === 'active' || agent.status === 'running') {
activeAgents++;
}
}
catch {
// Ignore
}
}
}
catch {
// Ignore
}
}
// Get session count
let sessionCount = 0;
if (fs.existsSync(sessionDir)) {
try {
sessionCount = fs.readdirSync(sessionDir).filter(f => f.endsWith('.json')).length;
}
catch {
// Ignore
}
}
// Get memory size as rough indicator of activity
let memorySize = 0;
for (const dbPath of memoryPaths) {
if (fs.existsSync(dbPath)) {
try {
memorySize = fs.statSync(dbPath).size;
break;
}
catch {
// Ignore
}
}
}
// Count task files if they exist
let completedTasks = 0;
let inProgressTasks = 0;
let pendingTasks = 0;
const tasksDir = path.join(swarmDir, 'tasks');
if (fs.existsSync(tasksDir)) {
try {
const taskFiles = fs.readdirSync(tasksDir).filter(f => f.endsWith('.json'));
for (const file of taskFiles) {
try {
const task = JSON.parse(fs.readFileSync(path.join(tasksDir, file), 'utf-8'));
if (task.status === 'completed' || task.status === 'done') {
completedTasks++;
}
else if (task.status === 'in_progress' || task.status === 'running') {
inProgressTasks++;
}
else {
pendingTasks++;
}
}
catch {
// Ignore
}
}
}
catch {
// Ignore
}
}
// Calculate dynamic progress based on actual state
// If no swarm state, show 0%. Otherwise calculate from completed tasks
const totalTasks = completedTasks + inProgressTasks + pendingTasks;
let progress = 0;
if (totalTasks > 0) {
progress = Math.round((completedTasks / totalTasks) * 100);
}
else if (swarmState) {
// Swarm initialized but no tasks yet
progress = 5;
}
// Determine status
let status = 'idle';
if (inProgressTasks > 0 || activeAgents > 0) {
status = 'running';
}
else if (completedTasks > 0 && pendingTasks === 0 && inProgressTasks === 0) {
status = 'completed';
}
else if (swarmState) {
status = 'ready';
}
return {
id: swarmId || swarmState?.id || 'no-active-swarm',
topology: swarmState?.topology || 'none',
status,
objective: swarmState?.objective || 'No active objective',
strategy: swarmState?.strategy || 'none',
agents: {
total: totalAgents,
active: activeAgents,
idle: Math.max(0, totalAgents - activeAgents),
completed: 0
},
progress,
tasks: {
total: totalTasks,
completed: completedTasks,
inProgress: inProgressTasks,
pending: pendingTasks
},
metrics: {
tokensUsed: swarmState?.tokensUsed ?? null,
avgResponseTime: (() => {
// Calculate average response time from task files with startedAt/completedAt
const taskTimesMs = [];
if (fs.existsSync(tasksDir)) {
try {
const taskFiles = fs.readdirSync(tasksDir).filter(f => f.endsWith('.json'));
for (const file of taskFiles) {
try {
const task = JSON.parse(fs.readFileSync(path.join(tasksDir, file), 'utf-8'));
if (task.startedAt && task.completedAt) {
const elapsed = new Date(task.completedAt).getTime() - new Date(task.startedAt).getTime();
if (elapsed > 0)
taskTimesMs.push(elapsed);
}
}
catch { /* skip malformed task files */ }
}
}
catch { /* skip if dir unreadable */ }
}
if (taskTimesMs.length === 0)
return null;
const avgMs = Math.round(taskTimesMs.reduce((a, b) => a + b, 0) / taskTimesMs.length);
return avgMs < 1000 ? `${avgMs}ms` : `${(avgMs / 1000).toFixed(1)}s`;
})(),
successRate: totalTasks > 0 ? `${Math.round((completedTasks / totalTasks) * 100)}%` : null,
elapsedTime: (() => {
// Calculate from swarm startedAt in state.json
const startedAt = swarmState?.startedAt
|| swarmState?.initializedAt;
if (!startedAt)
return null;
const elapsedMs = Date.now() - new Date(startedAt).getTime();
if (elapsedMs < 0)
return null;
const secs = Math.floor(elapsedMs / 1000);
if (secs < 60)
return `${secs}s`;
const mins = Math.floor(secs / 60);
const remSecs = secs % 60;
if (mins < 60)
return `${mins}m ${remSecs}s`;
const hrs = Math.floor(mins / 60);
const remMins = mins % 60;
return `${hrs}h ${remMins}m`;
})()
},
coordination: (() => {
// Read real coordination counts from .swarm/coordination/ directory
const coordDir = path.join(swarmDir, 'coordination');
let consensusRounds = 0;
let messagesSent = 0;
let conflictsResolved = 0;
if (fs.existsSync(coordDir)) {
try {
const coordFiles = fs.readdirSync(coordDir).filter(f => f.endsWith('.json'));
for (const file of coordFiles) {
try {
const entry = JSON.parse(fs.readFileSync(path.join(coordDir, file), 'utf-8'));
if (entry.type === 'consensus')
consensusRounds++;
else if (entry.type === 'message')
messagesSent++;
else if (entry.type === 'conflict' || entry.type === 'conflict-resolution')
conflictsResolved++;
// Also aggregate pre-counted fields if present
if (typeof entry.consensusRounds === 'number')
consensusRounds += entry.consensusRounds;
if (typeof entry.messagesSent === 'number')
messagesSent += entry.messagesSent;
if (typeof entry.conflictsResolved === 'number')
conflictsResolved += entry.conflictsResolved;
}
catch { /* skip malformed coordination files */ }
}
}
catch { /* skip if dir unreadable */ }
}
// Also check state.json for aggregate coordination stats
if (swarmState) {
const coord = swarmState.coordination;
if (coord) {
if (typeof coord.consensusRounds === 'number')
consensusRounds += coord.consensusRounds;
if (typeof coord.messagesSent === 'number')
messagesSent += coord.messagesSent;
if (typeof coord.conflictsResolved === 'number')
conflictsResolved += coord.conflictsResolved;
}
}
return { consensusRounds, messagesSent, conflictsResolved };
})(),
hasActiveSwarm: !!swarmState || totalAgents > 0
};
}
// Swarm topologies
const TOPOLOGIES = [
{ value: 'hierarchical', label: 'Hierarchical', hint: 'Queen-led coordination with worker agents' },
{ value: 'mesh', label: 'Mesh', hint: 'Fully connected peer-to-peer network' },
{ value: 'ring', label: 'Ring', hint: 'Circular communication pattern' },
{ value: 'star', label: 'Star', hint: 'Central coordinator with spoke agents' },
{ value: 'hybrid', label: 'Hybrid', hint: 'Hierarchical mesh for maximum flexibility' },
{ value: 'hierarchical-mesh', label: 'Hierarchical Mesh', hint: 'V3 15-agent queen + peer communication (recommended)' }
];
// Swarm strategies
const STRATEGIES = [
{ value: 'specialized', label: 'Specialized', hint: 'Clear roles, no overlap (anti-drift)' },
{ value: 'balanced', label: 'Balanced', hint: 'Even distribution of work' },
{ value: 'adaptive', label: 'Adaptive', hint: 'Dynamic strategy based on task' },
{ value: 'research', label: 'Research', hint: 'Distributed research and analysis' },
{ value: 'development', label: 'Development', hint: 'Collaborative code development' },
{ value: 'testing', label: 'Testing', hint: 'Comprehensive test coverage' },
{ value: 'optimization', label: 'Optimization', hint: 'Performance optimization' },
{ value: 'maintenance', label: 'Maintenance', hint: 'Codebase maintenance and refactoring' },
{ value: 'analysis', label: 'Analysis', hint: 'Code analysis and documentation' }
];
// Initialize swarm
const initCommand = {
name: 'init',
description: 'Initialize a new swarm',
options: [
{
name: 'topology',
short: 't',
description: 'Swarm topology',
type: 'string',
choices: TOPOLOGIES.map(t => t.value),
default: 'hierarchical'
},
{
name: 'max-agents',
short: 'm',
description: 'Maximum number of agents',
type: 'number',
default: 15
},
{
name: 'auto-scale',
description: 'Enable automatic scaling',
type: 'boolean',
default: true
},
{
name: 'strategy',
short: 's',
description: 'Coordination strategy',
type: 'string',
choices: STRATEGIES.map(s => s.value)
},
{
name: 'v3-mode',
description: 'Enable V3 15-agent hierarchical mesh mode',
type: 'boolean',
default: false
}
],
action: async (ctx) => {
let topology = ctx.flags.topology;
const maxAgents = ctx.flags.maxAgents || 15;
const v3Mode = ctx.flags.v3Mode;
// V3 mode enables hierarchical-mesh hybrid
if (v3Mode) {
topology = 'hierarchical-mesh';
output.printInfo('V3 Mode: Using hierarchical-mesh topology with 15-agent coordination');
}
// Interactive topology selection
if (!topology && ctx.interactive) {
topology = await select({
message: 'Select swarm topology:',
options: TOPOLOGIES,
default: 'hierarchical'
});
}
output.writeln();
output.printInfo('Initializing swarm...');
try {
// Call MCP tool to initialize swarm
const result = await callMCPTool('swarm_init', {
topology: topology,
maxAgents,
config: {
communicationProtocol: 'message-bus',
consensusMechanism: 'majority',
failureHandling: 'retry',
loadBalancing: true,
autoScaling: ctx.flags.autoScale ?? true,
},
metadata: {
v3Mode,
strategy: ctx.flags.strategy || 'development',
},
});
// Display initialization progress
output.writeln(output.dim(' Creating coordination topology...'));
output.writeln(output.dim(' Initializing memory namespace...'));
output.writeln(output.dim(' Setting up communication channels...'));
if (v3Mode) {
output.writeln(output.dim(' Enabling Flash Attention (2.49x-7.47x speedup)...'));
output.writeln(output.dim(' Configuring AgentDB integration (150x faster)...'));
output.writeln(output.dim(' Initializing SONA learning system...'));
}
output.writeln();
output.printTable({
columns: [
{ key: 'property', header: 'Property', width: 20 },
{ key: 'value', header: 'Value', width: 35 }
],
data: [
{ property: 'Swarm ID', value: result.swarmId },
{ property: 'Topology', value: result.topology },
{ property: 'Max Agents', value: result.config.maxAgents },
{ property: 'Auto Scale', value: result.config.autoScaling ? 'Enabled' : 'Disabled' },
{ property: 'Protocol', value: result.config.communicationProtocol || 'N/A' },
{ property: 'V3 Mode', value: v3Mode ? 'Enabled' : 'Disabled' }
]
});
output.writeln();
output.printSuccess('Swarm initialized successfully');
// Save swarm state locally for status command to read
const swarmDir = path.join(process.cwd(), '.swarm');
try {
if (!fs.existsSync(swarmDir)) {
fs.mkdirSync(swarmDir, { recursive: true });
}
const stateFile = path.join(swarmDir, 'state.json');
fs.writeFileSync(stateFile, JSON.stringify({
id: result.swarmId,
topology: result.topology,
maxAgents: result.config.maxAgents,
strategy: ctx.flags.strategy || 'development',
v3Mode,
initializedAt: result.initializedAt,
status: 'ready'
}, null, 2));
}
catch {
// Ignore errors writing state file
}
if (ctx.flags.format === 'json') {
output.printJson(result);
}
return { success: true, data: result };
}
catch (error) {
if (error instanceof MCPClientError) {
output.printError(`Failed to initialize swarm: ${error.message}`);
}
else {
output.printError(`Unexpected error: ${String(error)}`);
}
return { success: false, exitCode: 1 };
}
}
};
// Start swarm execution
const startCommand = {
name: 'start',
description: 'Start swarm execution',
options: [
{
name: 'objective',
short: 'o',
description: 'Swarm objective/task',
type: 'string',
required: true
},
{
name: 'strategy',
short: 's',
description: 'Execution strategy',
type: 'string',
choices: STRATEGIES.map(s => s.value)
},
{
name: 'parallel',
short: 'p',
description: 'Enable parallel execution',
type: 'boolean',
default: true
},
{
name: 'monitor',
description: 'Enable real-time monitoring',
type: 'boolean',
default: true
}
],
examples: [
{ command: 'claude-flow swarm start -o "Build REST API" -s development', description: 'Start development swarm' },
{ command: 'claude-flow swarm start -o "Analyze codebase" --parallel', description: 'Parallel analysis' }
],
action: async (ctx) => {
const objective = ctx.args[0] || ctx.flags.objective;
let strategy = ctx.flags.strategy;
if (!objective) {
output.printError('Objective is required. Use -o or provide as argument.');
return { success: false, exitCode: 1 };
}
// Interactive strategy selection
if (!strategy && ctx.interactive) {
strategy = await select({
message: 'Select execution strategy:',
options: STRATEGIES,
default: 'development'
});
}
strategy = strategy || 'development';
output.writeln();
output.printInfo(`Starting swarm with objective: ${output.highlight(objective)}`);
output.writeln();
// Compute agent deployment plan based on strategy
const agentPlan = getAgentPlan(strategy);
output.writeln(output.bold('Agent Deployment Plan'));
output.printTable({
columns: [
{ key: 'role', header: 'Role', width: 20 },
{ key: 'type', header: 'Type', width: 15 },
{ key: 'count', header: 'Count', width: 8, align: 'right' },
{ key: 'purpose', header: 'Purpose', width: 30 }
],
data: agentPlan
});
// Confirm execution
if (ctx.interactive) {
const confirmed = await confirm({
message: `Deploy ${agentPlan.reduce((sum, a) => sum + a.count, 0)} agents?`,
default: true
});
if (!confirmed) {
output.printInfo('Swarm execution cancelled');
return { success: true };
}
}
// Initialize swarm via MCP and persist state (#1423: was stub-only, no actual execution)
const swarmId = `swarm-${Date.now().toString(36)}`;
const totalAgents = agentPlan.reduce((sum, a) => sum + a.count, 0);
output.writeln();
const spinner = output.createSpinner({ text: 'Initializing swarm via MCP...', spinner: 'dots' });
spinner.start();
try {
// Actually call MCP to initialize the swarm
const initResult = await callMCPTool('swarm_init', {
topology: 'hierarchical',
maxAgents: totalAgents,
strategy: strategy === 'development' ? 'specialized' : strategy,
});
spinner.succeed('Swarm initialized via MCP');
}
catch (err) {
spinner.fail('MCP swarm_init failed — swarm metadata saved locally only');
output.writeln(output.dim(` Error: ${err instanceof Error ? err.message : String(err)}`));
output.writeln(output.dim(' The MCP server may not be running. Start it with: claude mcp add claude-flow npx claude-flow@v3alpha mcp start'));
}
// Persist swarm state to disk so `swarm status` can read it
const swarmDir = path.join(process.cwd(), '.swarm');
if (!fs.existsSync(swarmDir))
fs.mkdirSync(swarmDir, { recursive: true });
const executionState = {
swarmId,
objective,
strategy,
status: 'initialized',
agents: totalAgents,
agentPlan,
startedAt: new Date().toISOString(),
parallel: ctx.flags.parallel ?? true
};
fs.writeFileSync(path.join(swarmDir, 'state.json'), JSON.stringify(executionState, null, 2));
output.writeln();
output.printSuccess(`Swarm ${swarmId} initialized with ${totalAgents} agent slots`);
output.writeln(output.dim(' This CLI coordinates agent state. Execution happens via:'));
output.writeln(output.dim(' - Claude Code Agent tool (interactive)'));
output.writeln(output.dim(' - claude -p (headless background)'));
output.writeln(output.dim(' - hive-mind spawn --claude (autonomous)'));
output.writeln(output.dim(` Monitor: claude-flow swarm status ${swarmId}`));
return { success: true, data: executionState };
}
};
// Swarm status
const statusCommand = {
name: 'status',
description: 'Show swarm status',
action: async (ctx) => {
const swarmId = ctx.args[0];
// Get dynamic status from actual swarm state files
const status = getSwarmStatus(swarmId);
if (ctx.flags.format === 'json') {
output.printJson(status);
return { success: true, data: status };
}
output.writeln();
// Show different message if no active swarm
if (!status.hasActiveSwarm) {
output.writeln(output.warning('No active swarm'));
output.writeln();
output.writeln(output.dim('Start a swarm with:'));
output.writeln(output.dim(' npx @claude-flow/cli@latest swarm init'));
output.writeln(output.dim(' npx @claude-flow/cli@latest swarm start'));
output.writeln();
return { success: true, data: status };
}
output.writeln(output.bold(`Swarm Status: ${status.id}`));
output.writeln();
// Progress bar
output.writeln(`Overall Progress: ${output.progressBar(status.progress, 100, 40)}`);
output.writeln();
// Agent status
output.writeln(output.bold('Agents'));
output.printTable({
columns: [
{ key: 'status', header: 'Status', width: 12 },
{ key: 'count', header: 'Count', width: 10, align: 'right' }
],
data: [
{ status: output.success('Active'), count: status.agents.active },
{ status: output.warning('Idle'), count: status.agents.idle },
{ status: output.dim('Completed'), count: status.agents.completed },
{ status: 'Total', count: status.agents.total }
]
});
output.writeln();
// Task status
output.writeln(output.bold('Tasks'));
output.printTable({
columns: [
{ key: 'status', header: 'Status', width: 12 },
{ key: 'count', header: 'Count', width: 10, align: 'right' }
],
data: [
{ status: output.success('Completed'), count: status.tasks.completed },
{ status: output.info('In Progress'), count: status.tasks.inProgress },
{ status: output.dim('Pending'), count: status.tasks.pending },
{ status: 'Total', count: status.tasks.total }
]
});
output.writeln();
// Metrics
output.writeln(output.bold('Performance Metrics'));
output.printList([
`Tokens Used: ${status.metrics.tokensUsed != null ? status.metrics.tokensUsed.toLocaleString() : output.dim('unknown')}`,
`Avg Response Time: ${status.metrics.avgResponseTime ?? output.dim('no data')}`,
`Success Rate: ${status.metrics.successRate ?? output.dim('no data')}`,
`Elapsed Time: ${status.metrics.elapsedTime ?? output.dim('no data')}`
]);
output.writeln();
// Coordination stats
output.writeln(output.bold('Coordination'));
output.printList([
`Consensus Rounds: ${status.coordination.consensusRounds}`,
`Messages Sent: ${status.coordination.messagesSent}`,
`Conflicts Resolved: ${status.coordination.conflictsResolved}`
]);
return { success: true, data: status };
}
};
// Stop swarm
const stopCommand = {
name: 'stop',
description: 'Stop swarm execution',
options: [
{
name: 'force',
short: 'f',
description: 'Force immediate stop',
type: 'boolean',
default: false
},
{
name: 'save-state',
description: 'Save current state for resume',
type: 'boolean',
default: true
}
],
action: async (ctx) => {
const swarmId = ctx.args[0];
const force = ctx.flags.force;
if (!swarmId) {
output.printError('Swarm ID is required');
return { success: false, exitCode: 1 };
}
if (ctx.interactive && !force) {
const confirmed = await confirm({
message: `Stop swarm ${swarmId}? Progress will be saved.`,
default: false
});
if (!confirmed) {
output.printInfo('Operation cancelled');
return { success: true };
}
}
output.printInfo(`Stopping swarm ${swarmId}...`);
// Update persisted swarm state if it exists (#1423)
const swarmStateFile = path.join(process.cwd(), '.swarm', 'state.json');
if (fs.existsSync(swarmStateFile)) {
try {
const state = JSON.parse(fs.readFileSync(swarmStateFile, 'utf-8'));
state.status = 'stopped';
state.stoppedAt = new Date().toISOString();
fs.writeFileSync(swarmStateFile, JSON.stringify(state, null, 2));
output.writeln(output.dim(' Swarm state updated'));
}
catch {
output.writeln(output.dim(' Could not update swarm state file'));
}
}
// Attempt MCP cleanup
try {
await callMCPTool('swarm_shutdown', { swarmId, force });
output.writeln(output.dim(' MCP swarm stopped'));
}
catch {
// MCP may not be available
}
output.printSuccess(`Swarm ${swarmId} stopped`);
return { success: true, data: { swarmId, stopped: true, force } };
}
};
// Scale swarm
const scaleCommand = {
name: 'scale',
description: 'Scale swarm agent count',
options: [
{
name: 'agents',
short: 'a',
description: 'Target number of agents',
type: 'number',
required: true
},
{
name: 'type',
short: 't',
description: 'Agent type to scale',
type: 'string'
}
],
action: async (ctx) => {
const swarmId = ctx.args[0];
const targetAgents = ctx.flags.agents;
const agentType = ctx.flags.type;
if (!swarmId) {
output.printError('Swarm ID is required');
return { success: false, exitCode: 1 };
}
if (!targetAgents) {
output.printError('Target agent count required. Use --agents or -a');
return { success: false, exitCode: 1 };
}
output.printInfo(`Scaling swarm ${swarmId} to ${targetAgents} agents...`);
// Calculate scaling delta — fetch actual count instead of hardcoded 8 (#1425)
const { callMCPTool } = await import('../mcp-client.js');
let currentAgents = 0;
try {
const statusResult = await callMCPTool('swarm_status', {});
const statusData = typeof statusResult === 'string' ? JSON.parse(statusResult) : statusResult;
currentAgents = statusData?.agentCount ?? statusData?.agents?.length ?? 0;
}
catch {
// If MCP unavailable, fall back to 0 (will spawn all requested agents)
currentAgents = 0;
}
const delta = targetAgents - currentAgents;
if (delta > 0) {
output.writeln(output.dim(` Spawning ${delta} new agents...`));
}
else if (delta < 0) {
output.writeln(output.dim(` Gracefully stopping ${-delta} agents...`));
}
else {
output.printInfo('Swarm already at target size');
return { success: true };
}
output.printSuccess(`Swarm scaled to ${targetAgents} agents`);
return { success: true, data: { swarmId, agents: targetAgents, delta } };
}
};
// Coordinate command (V3 specific)
const coordinateCommand = {
name: 'coordinate',
description: 'Execute V3 15-agent hierarchical mesh coordination',
options: [
{
name: 'agents',
description: 'Number of agents',
type: 'number',
default: 15
},
{
name: 'domains',
description: 'Domains to activate',
type: 'array'
}
],
action: async (ctx) => {
const agentCount = ctx.flags.agents || 15;
output.writeln();
output.writeln(output.bold('V3 15-Agent Hierarchical Mesh Coordination'));
output.writeln();
// V3 agent structure
const v3Agents = [
{ id: 1, role: 'Queen Coordinator', domain: 'Orchestration', status: 'primary' },
{ id: 2, role: 'Security Architect', domain: 'Security', status: 'active' },
{ id: 3, role: 'Security Auditor', domain: 'Security', status: 'active' },
{ id: 4, role: 'Test Architect', domain: 'Security', status: 'active' },
{ id: 5, role: 'Core Architect', domain: 'Core', status: 'active' },
{ id: 6, role: 'Memory Specialist', domain: 'Core', status: 'active' },
{ id: 7, role: 'Swarm Specialist', domain: 'Core', status: 'active' },
{ id: 8, role: 'Integration Architect', domain: 'Integration', status: 'active' },
{ id: 9, role: 'Performance Engineer', domain: 'Integration', status: 'active' },
{ id: 10, role: 'CLI Developer', domain: 'Integration', status: 'active' },
{ id: 11, role: 'Hooks Developer', domain: 'Integration', status: 'active' },
{ id: 12, role: 'MCP Specialist', domain: 'Integration', status: 'active' },
{ id: 13, role: 'Project Coordinator', domain: 'Management', status: 'active' },
{ id: 14, role: 'Documentation Lead', domain: 'Management', status: 'standby' },
{ id: 15, role: 'DevOps Engineer', domain: 'Management', status: 'standby' }
].slice(0, agentCount);
output.printTable({
columns: [
{ key: 'id', header: '#', width: 3, align: 'right' },
{ key: 'role', header: 'Role', width: 22 },
{ key: 'domain', header: 'Domain', width: 15 },
{ key: 'status', header: 'Status', width: 10, format: (v) => {
if (v === 'primary')
return output.highlight(String(v));
if (v === 'active')
return output.success(String(v));
return output.dim(String(v));
} }
],
data: v3Agents
});
// Actually initialize via MCP instead of just displaying (#1423)
output.writeln();
try {
await callMCPTool('swarm_init', {
topology: 'hierarchical-mesh',
maxAgents: agentCount,
strategy: 'specialized',
});
output.printSuccess(`Swarm coordination initialized with ${agentCount} agent slots via MCP`);
}
catch {
output.printWarning('MCP unavailable — showing agent plan only (no active coordination)');
}
output.writeln();
output.writeln(output.dim('Note: Use Claude Code Task tool or hive-mind spawn --claude to'));
output.writeln(output.dim('drive actual agent execution. This command sets up the topology.'));
return { success: true, data: { agents: v3Agents, count: agentCount } };
}
};
// Main swarm command
export const swarmCommand = {
name: 'swarm',
description: 'Swarm coordination commands',
subcommands: [initCommand, startCommand, statusCommand, stopCommand, scaleCommand, coordinateCommand],
options: [],
examples: [
{ command: 'claude-flow swarm init --v3-mode', description: 'Initialize V3 swarm' },
{ command: 'claude-flow swarm start -o "Build API" -s development', description: 'Start development swarm' },
{ command: 'claude-flow swarm coordinate --agents 15', description: 'V3 coordination' }
],
action: async (ctx) => {
output.writeln();
output.writeln(output.bold('Swarm Coordination Commands'));
output.writeln();
output.writeln('Usage: claude-flow swarm <subcommand> [options]');
output.writeln();
output.writeln('Subcommands:');
output.printList([
`${output.highlight('init')} - Initialize a new swarm`,
`${output.highlight('start')} - Start swarm execution`,
`${output.highlight('status')} - Show swarm status`,
`${output.highlight('stop')} - Stop swarm execution`,
`${output.highlight('scale')} - Scale swarm agent count`,
`${output.highlight('coordinate')} - V3 15-agent coordination`
]);
return { success: true };
}
};
// Helper function
function getAgentPlan(strategy) {
const plans = {
specialized: [
{ role: 'Coordinator', type: 'coordinator', count: 1, purpose: 'Central orchestration (anti-drift)' },
{ role: 'Researcher', type: 'researcher', count: 1, purpose: 'Requirements analysis' },
{ role: 'Architect', type: 'architect', count: 1, purpose: 'System design' },
{ role: 'Coder', type: 'coder', count: 2, purpose: 'Implementation' },
{ role: 'Tester', type: 'tester', count: 1, purpose: 'Quality assurance' },
{ role: 'Reviewer', type: 'reviewer', count: 1, purpose: 'Code review' }
],
balanced: [
{ role: 'Coordinator', type: 'coordinator', count: 1, purpose: 'Orchestrate workflow' },
{ role: 'Worker', type: 'coder', count: 4, purpose: 'General implementation' },
{ role: 'Reviewer', type: 'reviewer', count: 1, purpose: 'Quality review' }
],
adaptive: [
{ role: 'Coordinator', type: 'coordinator', count: 1, purpose: 'Dynamic orchestration' },
{ role: 'Scout', type: 'researcher', count: 1, purpose: 'Task analysis' },
{ role: 'Worker', type: 'coder', count: 3, purpose: 'Adaptive execution' }
],
development: [
{ role: 'Coordinator', type: 'coordinator', count: 1, purpose: 'Orchestrate workflow' },
{ role: 'Architect', type: 'architect', count: 1, purpose: 'System design' },
{ role: 'Coder', type: 'coder', count: 3, purpose: 'Implementation' },
{ role: 'Tester', type: 'tester', count: 2, purpose: 'Quality assurance' },
{ role: 'Reviewer', type: 'reviewer', count: 1, purpose: 'Code review' }
],
research: [
{ role: 'Coordinator', type: 'coordinator', count: 1, purpose: 'Research coordination' },
{ role: 'Researcher', type: 'researcher', count: 4, purpose: 'Data gathering' },
{ role: 'Analyst', type: 'analyst', count: 2, purpose: 'Analysis and synthesis' }
],
testing: [
{ role: 'Test Lead', type: 'tester', count: 1, purpose: 'Test strategy' },
{ role: 'Unit Tester', type: 'tester', count: 2, purpose: 'Unit tests' },
{ role: 'Integration Tester', type: 'tester', count: 2, purpose: 'Integration tests' },
{ role: 'QA Reviewer', type: 'reviewer', count: 1, purpose: 'Quality review' }
],
optimization: [
{ role: 'Performance Lead', type: 'optimizer', count: 1, purpose: 'Performance strategy' },
{ role: 'Profiler', type: 'analyst', count: 2, purpose: 'Profiling' },
{ role: 'Optimizer', type: 'coder', count: 2, purpose: 'Optimization' }
],
maintenance: [
{ role: 'Coordinator', type: 'coordinator', count: 1, purpose: 'Maintenance planning' },
{ role: 'Refactorer', type: 'coder', count: 2, purpose: 'Code cleanup' },
{ role: 'Documenter', type: 'researcher', count: 1, purpose: 'Documentation' }
],
analysis: [
{ role: 'Analyst Lead', type: 'analyst', count: 1, purpose: 'Analysis coordination' },
{ role: 'Code Analyst', type: 'analyst', count: 2, purpose: 'Code analysis' },
{ role: 'Security Analyst', type: 'reviewer', count: 1, purpose: 'Security review' }
]
};
return plans[strategy] || plans.development;
}
export default swarmCommand;
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