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>

frontend/node_modules/d3-scale/src/linear.js

@@ -0,0 +1,70 @@
+import {ticks, tickIncrement} from "d3-array";
+import continuous, {copy} from "./continuous.js";
+import {initRange} from "./init.js";
+import tickFormat from "./tickFormat.js";
+
+export function linearish(scale) {
+  var domain = scale.domain;
+
+  scale.ticks = function(count) {
+    var d = domain();
+    return ticks(d[0], d[d.length - 1], count == null ? 10 : count);
+  };
+
+  scale.tickFormat = function(count, specifier) {
+    var d = domain();
+    return tickFormat(d[0], d[d.length - 1], count == null ? 10 : count, specifier);
+  };
+
+  scale.nice = function(count) {
+    if (count == null) count = 10;
+
+    var d = domain();
+    var i0 = 0;
+    var i1 = d.length - 1;
+    var start = d[i0];
+    var stop = d[i1];
+    var prestep;
+    var step;
+    var maxIter = 10;
+
+    if (stop < start) {
+      step = start, start = stop, stop = step;
+      step = i0, i0 = i1, i1 = step;
+    }
+    
+    while (maxIter-- > 0) {
+      step = tickIncrement(start, stop, count);
+      if (step === prestep) {
+        d[i0] = start
+        d[i1] = stop
+        return domain(d);
+      } else if (step > 0) {
+        start = Math.floor(start / step) * step;
+        stop = Math.ceil(stop / step) * step;
+      } else if (step < 0) {
+        start = Math.ceil(start * step) / step;
+        stop = Math.floor(stop * step) / step;
+      } else {
+        break;
+      }
+      prestep = step;
+    }
+
+    return scale;
+  };
+
+  return scale;
+}
+
+export default function linear() {
+  var scale = continuous();
+
+  scale.copy = function() {
+    return copy(scale, linear());
+  };
+
+  initRange.apply(scale, arguments);
+
+  return linearish(scale);
+}