Files
anthonyrawlins 85bf1341f3 Add comprehensive frontend UI and distributed infrastructure
Frontend Enhancements:
- Complete React TypeScript frontend with modern UI components
- Distributed workflows management interface with real-time updates
- Socket.IO integration for live agent status monitoring
- Agent management dashboard with cluster visualization
- Project management interface with metrics and task tracking
- Responsive design with proper error handling and loading states

Backend Infrastructure:
- Distributed coordinator for multi-agent workflow orchestration
- Cluster management API with comprehensive agent operations
- Enhanced database models for agents and projects
- Project service for filesystem-based project discovery
- Performance monitoring and metrics collection
- Comprehensive API documentation and error handling

Documentation:
- Complete distributed development guide (README_DISTRIBUTED.md)
- Comprehensive development report with architecture insights
- System configuration templates and deployment guides

The platform now provides a complete web interface for managing the distributed AI cluster
with real-time monitoring, workflow orchestration, and agent coordination capabilities.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-07-10 08:41:59 +10:00
..

run-parallel travis npm downloads javascript style guide

Run an array of functions in parallel

parallel Sauce Test Status

install

npm install run-parallel

usage

parallel(tasks, [callback])

Run the tasks array of functions in parallel, without waiting until the previous function has completed. If any of the functions pass an error to its callback, the main callback is immediately called with the value of the error. Once the tasks have completed, the results are passed to the final callback as an array.

It is also possible to use an object instead of an array. Each property will be run as a function and the results will be passed to the final callback as an object instead of an array. This can be a more readable way of handling the results.

arguments
  • tasks - An array or object containing functions to run. Each function is passed a callback(err, result) which it must call on completion with an error err (which can be null) and an optional result value.
  • callback(err, results) - An optional callback to run once all the functions have completed. This function gets a results array (or object) containing all the result arguments passed to the task callbacks.
example
var parallel = require('run-parallel')

parallel([
  function (callback) {
    setTimeout(function () {
      callback(null, 'one')
    }, 200)
  },
  function (callback) {
    setTimeout(function () {
      callback(null, 'two')
    }, 100)
  }
],
// optional callback
function (err, results) {
  // the results array will equal ['one','two'] even though
  // the second function had a shorter timeout.
})

This module is basically equavalent to async.parallel, but it's handy to just have the one function you need instead of the kitchen sink. Modularity! Especially handy if you're serving to the browser and need to reduce your javascript bundle size.

Works great in the browser with browserify!

see also

license

MIT. Copyright (c) Feross Aboukhadijeh.