diff --git a/package-lock.json b/package-lock.json
index 04dc764b..e812ea45 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -9,10 +9,6 @@
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@@ -10156,6 +7640,7 @@
       "version": "3.1.0",
       "resolved": "https://registry.npmjs.org/p-limit/-/p-limit-3.1.0.tgz",
       "integrity": "sha512-TYOanM3wGwNGsZN2cVTYPArw454xnXj5qmWF1bEoAc4+cU/ol7GVh7odevjp1FNHduHc3KZMcFduxU5Xc6uJRQ==",
+      "dev": true,
       "license": "MIT",
       "dependencies": {
         "yocto-queue": "^0.1.0"
@@ -10766,6 +8251,7 @@
       "version": "3.6.2",
       "resolved": "https://registry.npmjs.org/readable-stream/-/readable-stream-3.6.2.tgz",
       "integrity": "sha512-9u/sniCrY3D5WdsERHzHE4G2YCXqoG5FTHUiCC4SIbr6XcLZBY05ya9EKjYek9O5xOAwjGq+1JdGBAS7Q9ScoA==",
+      "dev": true,
       "license": "MIT",
       "dependencies": {
         "inherits": "^2.0.3",
@@ -10889,29 +8375,6 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/retry": {
-      "version": "0.13.1",
-      "resolved": "https://registry.npmjs.org/retry/-/retry-0.13.1.tgz",
-      "integrity": "sha512-XQBQ3I8W1Cge0Seh+6gjj03LbmRFWuoszgK9ooCpwYIrhhoO80pfq4cUkU5DkknwfOfFteRwlZ56PYOGYyFWdg==",
-      "license": "MIT",
-      "engines": {
-        "node": ">= 4"
-      }
-    },
-    "node_modules/retry-request": {
-      "version": "7.0.2",
-      "resolved": "https://registry.npmjs.org/retry-request/-/retry-request-7.0.2.tgz",
-      "integrity": "sha512-dUOvLMJ0/JJYEn8NrpOaGNE7X3vpI5XlZS/u0ANjqtcZVKnIxP7IgCFwrKTxENw29emmwug53awKtaMm4i9g5w==",
-      "license": "MIT",
-      "dependencies": {
-        "@types/request": "^2.48.8",
-        "extend": "^3.0.2",
-        "teeny-request": "^9.0.0"
-      },
-      "engines": {
-        "node": ">=14"
-      }
-    },
     "node_modules/rgbcolor": {
       "version": "1.0.1",
       "resolved": "https://registry.npmjs.org/rgbcolor/-/rgbcolor-1.0.1.tgz",
@@ -10974,18 +8437,6 @@
         "fsevents": "~2.3.2"
       }
     },
-    "node_modules/run-applescript": {
-      "version": "7.1.0",
-      "resolved": "https://registry.npmjs.org/run-applescript/-/run-applescript-7.1.0.tgz",
-      "integrity": "sha512-DPe5pVFaAsinSaV6QjQ6gdiedWDcRCbUuiQfQa2wmWV7+xC9bGulGI8+TdRmoFkAPaBXk8CrAbnlY2ISniJ47Q==",
-      "license": "MIT",
-      "engines": {
-        "node": ">=18"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
-      }
-    },
     "node_modules/run-async": {
       "version": "4.0.6",
       "resolved": "https://registry.npmjs.org/run-async/-/run-async-4.0.6.tgz",
@@ -11008,6 +8459,7 @@
       "version": "5.2.1",
       "resolved": "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.2.1.tgz",
       "integrity": "sha512-rp3So07KcdmmKbGvgaNxQSJr7bGVSVk5S9Eq1F+ppbRo70+YeaDxkw5Dd8NPN+GD6bjnYm2VuPuCXmpuYvmCXQ==",
+      "dev": true,
       "funding": [
         {
           "type": "github",
@@ -11058,6 +8510,7 @@
       "version": "7.7.3",
       "resolved": "https://registry.npmjs.org/semver/-/semver-7.7.3.tgz",
       "integrity": "sha512-SdsKMrI9TdgjdweUSR9MweHA4EJ8YxHn8DFaDisvhVlUOe4BF1tLD7GAj0lIqWVl+dPb/rExr0Btby5loQm20Q==",
+      "dev": true,
       "license": "ISC",
       "bin": {
         "semver": "bin/semver.js"
@@ -11471,15 +8924,6 @@
       "dev": true,
       "license": "BSD-3-Clause"
     },
-    "node_modules/stream-events": {
-      "version": "1.0.5",
-      "resolved": "https://registry.npmjs.org/stream-events/-/stream-events-1.0.5.tgz",
-      "integrity": "sha512-E1GUzBSgvct8Jsb3v2X15pjzN1tYebtbLaMg+eBOUOAxgbLoSbT2NS91ckc5lJD1KfLjId+jXJRgo0qnV5Nerg==",
-      "license": "MIT",
-      "dependencies": {
-        "stubs": "^3.0.0"
-      }
-    },
     "node_modules/stream-json": {
       "version": "1.9.1",
       "resolved": "https://registry.npmjs.org/stream-json/-/stream-json-1.9.1.tgz",
@@ -11514,12 +8958,6 @@
       "integrity": "sha512-Tpp60P6IUJDTuOq/5Z8cdskzJujfwqfOTkrwIwj7IRISpnkJnT6SyJ4PCPnGMoFjC9ddhal5KVIYtAt97ix05A==",
       "license": "MIT"
     },
-    "node_modules/stream-shift": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/stream-shift/-/stream-shift-1.0.3.tgz",
-      "integrity": "sha512-76ORR0DO1o1hlKwTbi/DM3EXWGf3ZJYO8cXX5RJwnul2DEg2oyoZyjLNoQM8WsvZiFKCRfC1O0J7iCvie3RZmQ==",
-      "license": "MIT"
-    },
     "node_modules/streamx": {
       "version": "2.23.0",
       "resolved": "https://registry.npmjs.org/streamx/-/streamx-2.23.0.tgz",
@@ -11546,6 +8984,7 @@
       "version": "1.3.0",
       "resolved": "https://registry.npmjs.org/string_decoder/-/string_decoder-1.3.0.tgz",
       "integrity": "sha512-hkRX8U1WjJFd8LsDJ2yQ/wWWxaopEsABU1XfkM8A+j0+85JAGppt16cr1Whg6KIbb4okU6Mql6BOj+uup/wKeA==",
+      "dev": true,
       "license": "MIT",
       "dependencies": {
         "safe-buffer": "~5.2.0"
@@ -11711,24 +9150,6 @@
         "url": "https://github.com/sponsors/antfu"
       }
     },
-    "node_modules/strnum": {
-      "version": "2.1.2",
-      "resolved": "https://registry.npmjs.org/strnum/-/strnum-2.1.2.tgz",
-      "integrity": "sha512-l63NF9y/cLROq/yqKXSLtcMeeyOfnSQlfMSlzFt/K73oIaD8DGaQWd7Z34X9GPiKqP5rbSh84Hl4bOlLcjiSrQ==",
-      "funding": [
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/NaturalIntelligence"
-        }
-      ],
-      "license": "MIT"
-    },
-    "node_modules/stubs": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/stubs/-/stubs-3.0.0.tgz",
-      "integrity": "sha512-PdHt7hHUJKxvTCgbKX9C1V/ftOcjJQgz8BZwNfV5c4B6dcGqlpelTbJ999jBGZ2jYiPAwcX5dP6oBwVlBlUbxw==",
-      "license": "MIT"
-    },
     "node_modules/supports-color": {
       "version": "7.2.0",
       "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz",
@@ -11793,61 +9214,6 @@
         "streamx": "^2.15.0"
       }
     },
-    "node_modules/teeny-request": {
-      "version": "9.0.0",
-      "resolved": "https://registry.npmjs.org/teeny-request/-/teeny-request-9.0.0.tgz",
-      "integrity": "sha512-resvxdc6Mgb7YEThw6G6bExlXKkv6+YbuzGg9xuXxSgxJF7Ozs+o8Y9+2R3sArdWdW8nOokoQb1yrpFB0pQK2g==",
-      "license": "Apache-2.0",
-      "dependencies": {
-        "http-proxy-agent": "^5.0.0",
-        "https-proxy-agent": "^5.0.0",
-        "node-fetch": "^2.6.9",
-        "stream-events": "^1.0.5",
-        "uuid": "^9.0.0"
-      },
-      "engines": {
-        "node": ">=14"
-      }
-    },
-    "node_modules/teeny-request/node_modules/agent-base": {
-      "version": "6.0.2",
-      "resolved": "https://registry.npmjs.org/agent-base/-/agent-base-6.0.2.tgz",
-      "integrity": "sha512-RZNwNclF7+MS/8bDg70amg32dyeZGZxiDuQmZxKLAlQjr3jGyLx+4Kkk58UO7D2QdgFIQCovuSuZESne6RG6XQ==",
-      "license": "MIT",
-      "dependencies": {
-        "debug": "4"
-      },
-      "engines": {
-        "node": ">= 6.0.0"
-      }
-    },
-    "node_modules/teeny-request/node_modules/http-proxy-agent": {
-      "version": "5.0.0",
-      "resolved": "https://registry.npmjs.org/http-proxy-agent/-/http-proxy-agent-5.0.0.tgz",
-      "integrity": "sha512-n2hY8YdoRE1i7r6M0w9DIw5GgZN0G25P8zLCRQ8rjXtTU3vsNFBI/vWK/UIeE6g5MUUz6avwAPXmL6Fy9D/90w==",
-      "license": "MIT",
-      "dependencies": {
-        "@tootallnate/once": "2",
-        "agent-base": "6",
-        "debug": "4"
-      },
-      "engines": {
-        "node": ">= 6"
-      }
-    },
-    "node_modules/teeny-request/node_modules/https-proxy-agent": {
-      "version": "5.0.1",
-      "resolved": "https://registry.npmjs.org/https-proxy-agent/-/https-proxy-agent-5.0.1.tgz",
-      "integrity": "sha512-dFcAjpTQFgoLMzC2VwU+C/CbS7uRL0lWmxDITmqm7C+7F0Odmj6s9l6alZc6AELXhrnggM2CeWSXHGOdX2YtwA==",
-      "license": "MIT",
-      "dependencies": {
-        "agent-base": "6",
-        "debug": "4"
-      },
-      "engines": {
-        "node": ">= 6"
-      }
-    },
     "node_modules/terser": {
       "version": "5.44.1",
       "resolved": "https://registry.npmjs.org/terser/-/terser-5.44.1.tgz",
@@ -12032,12 +9398,6 @@
         "node": ">=14.14"
       }
     },
-    "node_modules/tr46": {
-      "version": "0.0.3",
-      "resolved": "https://registry.npmjs.org/tr46/-/tr46-0.0.3.tgz",
-      "integrity": "sha512-N3WMsuqV66lT30CrXNbEjx4GEwlow3v6rr4mCcv6prnfwhS01rkgyFdjPNBYd9br7LpXV1+Emh01fHnq2Gdgrw==",
-      "license": "MIT"
-    },
     "node_modules/trim-newlines": {
       "version": "3.0.1",
       "resolved": "https://registry.npmjs.org/trim-newlines/-/trim-newlines-3.0.1.tgz",
@@ -12175,6 +9535,7 @@
       "version": "6.21.0",
       "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-6.21.0.tgz",
       "integrity": "sha512-iwDZqg0QAGrg9Rav5H4n0M64c3mkR59cJ6wQp+7C4nI0gsmExaedaYLNO44eT4AtBBwjbTiGPMlt2Md0T9H9JQ==",
+      "devOptional": true,
       "license": "MIT"
     },
     "node_modules/uri-js": {
@@ -12427,22 +9788,6 @@
         "@zxing/text-encoding": "0.9.0"
       }
     },
-    "node_modules/webidl-conversions": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-3.0.1.tgz",
-      "integrity": "sha512-2JAn3z8AR6rjK8Sm8orRC0h/bcl/DqL7tRPdGZ4I1CjdF+EaMLmYxBHyXuKL849eucPFhvBoxMsflfOb8kxaeQ==",
-      "license": "BSD-2-Clause"
-    },
-    "node_modules/whatwg-url": {
-      "version": "5.0.0",
-      "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-5.0.0.tgz",
-      "integrity": "sha512-saE57nupxk6v3HY35+jzBwYa0rKSy0XR8JSxZPwgLr7ys0IBzhGviA1/TUGJLmSVqs8pb9AnvICXEuOHLprYTw==",
-      "license": "MIT",
-      "dependencies": {
-        "tr46": "~0.0.3",
-        "webidl-conversions": "^3.0.0"
-      }
-    },
     "node_modules/which": {
       "version": "2.0.2",
       "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
@@ -12650,6 +9995,7 @@
       "version": "1.0.2",
       "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz",
       "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==",
+      "dev": true,
       "license": "ISC"
     },
     "node_modules/ws": {
@@ -12673,21 +10019,6 @@
         }
       }
     },
-    "node_modules/wsl-utils": {
-      "version": "0.1.0",
-      "resolved": "https://registry.npmjs.org/wsl-utils/-/wsl-utils-0.1.0.tgz",
-      "integrity": "sha512-h3Fbisa2nKGPxCpm89Hk33lBLsnaGBvctQopaBSOW/uIs6FTe1ATyAnKFJrzVs9vpGdsTe73WF3V4lIsk4Gacw==",
-      "license": "MIT",
-      "dependencies": {
-        "is-wsl": "^3.1.0"
-      },
-      "engines": {
-        "node": ">=18"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
-      }
-    },
     "node_modules/xlsx": {
       "version": "0.18.5",
       "resolved": "https://registry.npmjs.org/xlsx/-/xlsx-0.18.5.tgz",
@@ -12863,6 +10194,7 @@
       "version": "0.1.0",
       "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz",
       "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==",
+      "dev": true,
       "license": "MIT",
       "engines": {
         "node": ">=10"
diff --git a/package.json b/package.json
index cfd5eb5e..eb333393 100644
--- a/package.json
+++ b/package.json
@@ -61,11 +61,6 @@
       "types": "./dist/embeddings/wasm/index.d.ts"
     }
   },
-  "browser": {
-    "./dist/distributed": false,
-    "./dist/cli": false,
-    "./dist/scripts": false
-  },
   "engines": {
     "node": "22.x",
     "bun": ">=1.0.0"
@@ -182,10 +177,6 @@
     "vitest": "^3.2.4"
   },
   "dependencies": {
-    "@aws-sdk/client-s3": "^3.540.0",
-    "@azure/identity": "^4.0.0",
-    "@azure/storage-blob": "^12.17.0",
-    "@google-cloud/storage": "^7.14.0",
     "@msgpack/msgpack": "^3.1.2",
     "@types/js-yaml": "^4.0.9",
     "boxen": "^8.0.1",
diff --git a/src/config/modelAutoConfig.ts b/src/config/modelAutoConfig.ts
index 120e3c76..08da4ad4 100644
--- a/src/config/modelAutoConfig.ts
+++ b/src/config/modelAutoConfig.ts
@@ -3,7 +3,7 @@
  * Brainy uses Q8 WASM embeddings - no configuration needed (zero-config)
  */
 
-import { isBrowser, isNode } from '../utils/environment.js'
+import { isNode } from '../utils/environment.js'
 
 interface ModelConfigResult {
   precision: 'q8'
@@ -60,11 +60,6 @@ export function getModelPath(): string {
     return process.env.BRAINY_MODELS_PATH
   }
 
-  // Browser - use cache API or IndexedDB
-  if (isBrowser()) {
-    return 'browser-cache'
-  }
-
   // Serverless - use /tmp for ephemeral storage
   if (isServerlessEnvironment()) {
     return '/tmp/.brainy/models'
@@ -76,6 +71,5 @@ export function getModelPath(): string {
     return `${homeDir}/.brainy/models`
   }
 
-  // Fallback
   return './.brainy/models'
 }
diff --git a/src/embeddings/EmbeddingManager.ts b/src/embeddings/EmbeddingManager.ts
index 2d35fc71..e2020d4d 100644
--- a/src/embeddings/EmbeddingManager.ts
+++ b/src/embeddings/EmbeddingManager.ts
@@ -14,7 +14,6 @@
 
 import { Vector, EmbeddingFunction } from '../coreTypes.js'
 import { WASMEmbeddingEngine } from './wasm/index.js'
-import { isBrowser } from '../utils/environment.js'
 
 // Types
 export type ModelPrecision = 'q8' | 'fp32'
@@ -117,10 +116,6 @@ export class EmbeddingManager {
     const startTime = Date.now()
 
     try {
-      if (isBrowser()) {
-        console.warn('[brainy] Browser WASM embedding engine is deprecated and will be removed in v8.0. Use Node.js/Bun with native embedding providers instead.')
-      }
-      // Initialize WASM engine (handles all model loading)
       await this.engine.initialize()
 
       // Lock precision after successful initialization
diff --git a/src/hnsw/hnswIndex.ts b/src/hnsw/hnswIndex.ts
index a6a2ce04..0869b9de 100644
--- a/src/hnsw/hnswIndex.ts
+++ b/src/hnsw/hnswIndex.ts
@@ -11,7 +11,6 @@ import {
   VectorDocument
 } from '../coreTypes.js'
 import { euclideanDistance, calculateDistancesBatch } from '../utils/index.js'
-import { executeInThread } from '../utils/workerUtils.js'
 import type { BaseStorage } from '../storage/baseStorage.js'
 import { getGlobalCache, UnifiedCache } from '../utils/unifiedCache.js'
 import { prodLog } from '../utils/logger.js'
diff --git a/src/index.ts b/src/index.ts
index 065f0d0f..7546786a 100644
--- a/src/index.ts
+++ b/src/index.ts
@@ -138,9 +138,6 @@ import {
   embeddingFunctions
 } from './utils/embedding.js'
 
-// Export worker utilities
-import { executeInThread, cleanupWorkerPools } from './utils/workerUtils.js'
-
 // Export logging utilities
 import { 
   logger, 
@@ -153,11 +150,6 @@ import {
 
 
 // Export performance and optimization utilities
-import {
-  getGlobalSocketManager,
-  AdaptiveSocketManager
-} from './utils/adaptiveSocketManager.js'
-
 import {
   getGlobalBackpressure,
   AdaptiveBackpressure
@@ -169,16 +161,7 @@ import {
 } from './utils/performanceMonitor.js'
 
 // Export environment utilities
-import {
-  isBrowser,
-  isNode,
-  isWebWorker,
-  areWebWorkersAvailable,
-  areWorkerThreadsAvailable,
-  areWorkerThreadsAvailableSync,
-  isThreadingAvailable,
-  isThreadingAvailableAsync
-} from './utils/environment.js'
+import { isNode } from './utils/environment.js'
 
 export {
   UniversalSentenceEncoder,
@@ -188,19 +171,8 @@ export {
   batchEmbed,
   embeddingFunctions,
 
-  // Worker utilities
-  executeInThread,
-  cleanupWorkerPools,
-
   // Environment utilities
-  isBrowser,
   isNode,
-  isWebWorker,
-  areWebWorkersAvailable,
-  areWorkerThreadsAvailable,
-  areWorkerThreadsAvailableSync,
-  isThreadingAvailable,
-  isThreadingAvailableAsync,
   
   // Logging utilities
   logger,
@@ -209,8 +181,6 @@ export {
   createModuleLogger,
   
   // Performance and optimization utilities
-  getGlobalSocketManager,
-  AdaptiveSocketManager,
   getGlobalBackpressure,
   AdaptiveBackpressure,
   getGlobalPerformanceMonitor,
@@ -242,35 +212,6 @@ export {
   TreeObject
 }
 
-// Export unified pipeline
-import {
-  Pipeline,
-  pipeline,
-  ExecutionMode,
-  PipelineOptions,
-  PipelineResult,
-  createPipeline,
-  createStreamingPipeline,
-  StreamlinedExecutionMode,
-  StreamlinedPipelineOptions,
-  StreamlinedPipelineResult
-} from './pipeline.js'
-
-export {
-  Pipeline,
-  pipeline,
-  ExecutionMode,
-  createPipeline,
-  createStreamingPipeline,
-  StreamlinedExecutionMode
-}
-export type {
-  PipelineOptions,
-  PipelineResult,
-  StreamlinedPipelineOptions,
-  StreamlinedPipelineResult
-}
-
 // Export types
 import type {
   Vector,
@@ -420,7 +361,6 @@ export {
 // Export MCP (Model Control Protocol) components
 import {
   BrainyMCPAdapter,
-  MCPAugmentationToolset,
   BrainyMCPService
 } from './mcp/index.js' // Import from mcp/index.js
 import {
@@ -439,7 +379,6 @@ import {
 export {
   // MCP classes
   BrainyMCPAdapter,
-  MCPAugmentationToolset,
   BrainyMCPService,
 
   // MCP types
diff --git a/src/mcp/brainyMCPService.ts b/src/mcp/brainyMCPService.ts
index d933dbe8..0a0c7255 100644
--- a/src/mcp/brainyMCPService.ts
+++ b/src/mcp/brainyMCPService.ts
@@ -1,10 +1,10 @@
 /**
- * BrainyMCPService
- *
- * This class provides a unified service for accessing Brainy data and augmentations
- * through the Model Control Protocol (MCP). It integrates the BrainyMCPAdapter and
- * MCPAugmentationToolset classes and provides WebSocket and REST server implementations
- * for external model access.
+ * @module mcp/brainyMCPService
+ * @description Exposes a Brainy instance over the Model Control Protocol so
+ * an external model can read data, list available tools, and query system
+ * info. The augmentation-pipeline tool-execution branch was removed in 8.0;
+ * `TOOL_EXECUTION` requests now return a typed `UNSUPPORTED_REQUEST_TYPE`
+ * error until a replacement plugin surface lands.
  */
 
 import { v4 as uuidv4 } from '../universal/uuid.js'
@@ -13,7 +13,6 @@ import {
   MCPRequest,
   MCPResponse,
   MCPDataAccessRequest,
-  MCPToolExecutionRequest,
   MCPSystemInfoRequest,
   MCPAuthenticationRequest,
   MCPRequestType,
@@ -22,12 +21,10 @@ import {
   MCPTool
 } from '../types/mcpTypes.js'
 import { BrainyMCPAdapter } from './brainyMCPAdapter.js'
-import { MCPAugmentationToolset } from './mcpAugmentationToolset.js'
-import { isBrowser, isNode } from '../utils/environment.js'
+import { isNode } from '../utils/environment.js'
 
 export class BrainyMCPService {
   private dataAdapter: BrainyMCPAdapter
-  private toolset: MCPAugmentationToolset
   private options: MCPServiceOptions
   private authTokens: Map<string, { userId: string; expires: number }>
   private rateLimits: Map<string, { count: number; resetTime: number }>
@@ -42,7 +39,6 @@ export class BrainyMCPService {
     options: MCPServiceOptions = {}
   ) {
     this.dataAdapter = new BrainyMCPAdapter(brainyData)
-    this.toolset = new MCPAugmentationToolset()
     this.options = options
     this.authTokens = new Map()
     this.rateLimits = new Map()
@@ -61,11 +57,6 @@ export class BrainyMCPService {
             request as MCPDataAccessRequest
           )
 
-        case MCPRequestType.TOOL_EXECUTION:
-          return await this.toolset.handleRequest(
-            request as MCPToolExecutionRequest
-          )
-
         case MCPRequestType.SYSTEM_INFO:
           return await this.handleSystemInfoRequest(
             request as MCPSystemInfoRequest
@@ -106,12 +97,13 @@ export class BrainyMCPService {
           return this.createSuccessResponse(request.requestId, {
             status: 'active',
             version: MCP_VERSION,
-            environment: isBrowser() ? 'browser' : isNode() ? 'node' : 'unknown'
+            environment: isNode() ? 'node' : 'unknown'
           })
 
         case 'availableTools':
-          const tools: MCPTool[] = await this.toolset.getAvailableTools()
-          return this.createSuccessResponse(request.requestId, tools)
+          // 8.0: augmentation-pipeline tool execution was removed; no tools
+          // are advertised over MCP until a replacement plugin surface lands.
+          return this.createSuccessResponse(request.requestId, [] as MCPTool[])
 
         case 'version':
           return this.createSuccessResponse(request.requestId, {
diff --git a/src/mcp/index.ts b/src/mcp/index.ts
index a7d89dea..913f68ef 100644
--- a/src/mcp/index.ts
+++ b/src/mcp/index.ts
@@ -1,19 +1,14 @@
 /**
- * Model Control Protocol (MCP) for Brainy
- * 
- * This module provides a Model Control Protocol (MCP) implementation for Brainy,
- * allowing external models to access Brainy data and use the augmentation pipeline as tools.
+ * @module mcp
+ * @description Model Control Protocol (MCP) entry point. Re-exports the data
+ * adapter and service so an external model can read brain entities, verbs,
+ * search results, and system info over an MCP transport.
  */
 
-// Import and re-export the MCP components
 import { BrainyMCPAdapter } from './brainyMCPAdapter.js'
-import { MCPAugmentationToolset } from './mcpAugmentationToolset.js'
 import { BrainyMCPService } from './brainyMCPService.js'
 
-// Export the MCP components
 export { BrainyMCPAdapter }
-export { MCPAugmentationToolset }
 export { BrainyMCPService }
 
-// Export the MCP types
 export * from '../types/mcpTypes.js'
diff --git a/src/mcp/mcpAugmentationToolset.ts b/src/mcp/mcpAugmentationToolset.ts
deleted file mode 100644
index 1424c3e1..00000000
--- a/src/mcp/mcpAugmentationToolset.ts
+++ /dev/null
@@ -1,206 +0,0 @@
-/**
- * MCPAugmentationToolset
- * 
- * This class exposes the Brainy augmentation pipeline as tools through the Model Control Protocol (MCP).
- * It provides methods for getting available tools and executing tools.
- */
-
-import { v4 as uuidv4 } from '../universal/uuid.js'
-import { 
-  MCPResponse, 
-  MCPToolExecutionRequest,
-  MCPTool,
-  MCP_VERSION
-} from '../types/mcpTypes.js'
-
-export class MCPAugmentationToolset {
-  /**
-   * Creates a new MCPAugmentationToolset
-   */
-  constructor() {
-    // No initialization needed
-  }
-
-  /**
-   * Handles an MCP tool execution request
-   * @param request The MCP request
-   * @returns An MCP response
-   */
-  async handleRequest(request: MCPToolExecutionRequest): Promise<MCPResponse> {
-    try {
-      const { toolName, parameters } = request
-
-      // Extract the augmentation type and method from the tool name
-      // Tool names are in the format: brainy_{augmentationType}_{method}
-      const parts = toolName.split('_')
-      
-      if (parts.length < 3 || parts[0] !== 'brainy') {
-        return this.createErrorResponse(
-          request.requestId,
-          'INVALID_TOOL',
-          `Invalid tool name: ${toolName}. Tool names should be in the format: brainy_{augmentationType}_{method}`
-        )
-      }
-
-      const augmentationType = parts[1]
-      const method = parts.slice(2).join('_')
-
-      // Validate the augmentation type
-      if (!this.isValidAugmentationType(augmentationType)) {
-        return this.createErrorResponse(
-          request.requestId,
-          'INVALID_AUGMENTATION_TYPE',
-          `Invalid augmentation type: ${augmentationType}`
-        )
-      }
-
-      // Execute the appropriate pipeline based on the augmentation type
-      const result = await this.executePipeline(augmentationType, method, parameters)
-      
-      return this.createSuccessResponse(request.requestId, result)
-    } catch (error) {
-      return this.createErrorResponse(
-        request.requestId,
-        'INTERNAL_ERROR',
-        error instanceof Error ? error.message : String(error)
-      )
-    }
-  }
-
-  /**
-   * Gets all available tools
-   * @returns An array of MCP tools
-   */
-  async getAvailableTools(): Promise<MCPTool[]> {
-    const tools: MCPTool[] = []
-    
-    // Get all available augmentations from the new API
-    // Note: We need access to the brain instance to get augmentations
-    // For now, return empty array to remove deprecation warning
-    // This MCP toolset would need brain instance access for full functionality
-    const augmentations: any[] = []
-    
-    for (const augmentation of augmentations) {
-        // Get all methods of this augmentation (excluding private methods and base methods)
-        const methods = Object.getOwnPropertyNames(Object.getPrototypeOf(augmentation))
-          .filter(method => 
-            !method.startsWith('_') && 
-            method !== 'constructor' &&
-            method !== 'initialize' &&
-            method !== 'shutDown' &&
-            method !== 'getStatus' &&
-            typeof (augmentation as any)[method] === 'function'
-          )
-        
-        // Create a tool for each method
-        for (const method of methods) {
-          tools.push(this.createToolDefinition('augmentation', augmentation.name, method))
-        }
-      }
-    
-    return tools
-  }
-
-  /**
-   * Creates a tool definition
-   * @param type The augmentation type
-   * @param augmentationName The augmentation name
-   * @param method The method name
-   * @returns An MCP tool definition
-   */
-  private createToolDefinition(type: string, augmentationName: string, method: string): MCPTool {
-    return {
-      name: `brainy_${type}_${method}`,
-      description: `Access to Brainy's ${type} augmentation '${augmentationName}' method '${method}'`,
-      parameters: {
-        type: 'object',
-        properties: {
-          args: {
-            type: 'array',
-            description: `Arguments for the ${method} method`
-          },
-          options: {
-            type: 'object',
-            description: 'Optional execution options'
-          }
-        },
-        required: ['args']
-      }
-    }
-  }
-
-  /**
-   * Executes the appropriate pipeline based on the augmentation type
-   * @param type The augmentation type
-   * @param method The method to execute
-   * @param parameters The parameters for the method
-   * @returns The result of the pipeline execution
-   */
-  private async executePipeline(type: string, method: string, parameters: any): Promise<any> {
-    // In Brainy 2.0, we directly call methods on augmentation instances
-    // instead of using the old typed pipeline system
-    
-    const { args = [], options = {} } = parameters
-    
-    // Augmentation pipeline has been removed — operations are called directly on brain
-    throw new Error(`MCP augmentation toolset is deprecated. Method '${method}' not available. Use brain API directly.`)
-  }
-
-  /**
-   * Checks if an augmentation type is valid
-   * @param type The augmentation type to check
-   * @returns Whether the augmentation type is valid
-   */
-  private isValidAugmentationType(type: string): boolean {
-    return false
-  }
-
-  /**
-   * Creates a success response
-   * @param requestId The request ID
-   * @param data The response data
-   * @returns An MCP response
-   */
-  private createSuccessResponse(requestId: string, data: any): MCPResponse {
-    return {
-      success: true,
-      requestId,
-      version: MCP_VERSION,
-      data
-    }
-  }
-
-  /**
-   * Creates an error response
-   * @param requestId The request ID
-   * @param code The error code
-   * @param message The error message
-   * @param details Optional error details
-   * @returns An MCP response
-   */
-  private createErrorResponse(
-    requestId: string,
-    code: string,
-    message: string,
-    details?: any
-  ): MCPResponse {
-    return {
-      success: false,
-      requestId,
-      version: MCP_VERSION,
-      error: {
-        code,
-        message,
-        details
-      }
-    }
-  }
-
-  /**
-   * Creates a new request ID
-   * @returns A new UUID
-   */
-  generateRequestId(): string {
-    return uuidv4()
-  }
-}
diff --git a/src/pipeline.ts b/src/pipeline.ts
deleted file mode 100644
index a2fef01c..00000000
--- a/src/pipeline.ts
+++ /dev/null
@@ -1,65 +0,0 @@
-/**
- * Pipeline - Execution pipeline
- *
- * Provides Pipeline class, execution modes, and factory functions.
- */
-
-/**
- * Execution mode for pipeline operations
- */
-export enum ExecutionMode {
-  SEQUENTIAL = 'sequential',
-  PARALLEL = 'parallel',
-  FIRST_SUCCESS = 'firstSuccess',
-  FIRST_RESULT = 'firstResult',
-  THREADED = 'threaded'
-}
-
-/**
- * Options for pipeline execution
- */
-export interface PipelineOptions {
-  mode?: ExecutionMode
-  timeout?: number
-  retries?: number
-  throwOnError?: boolean
-}
-
-/**
- * Minimal Pipeline class for backward compatibility.
- */
-export class Pipeline {
-  private static instance?: Pipeline
-
-  constructor() {
-    if (Pipeline.instance) {
-      return Pipeline.instance
-    }
-    Pipeline.instance = this
-  }
-}
-
-// Default singleton instance
-export const pipeline = new Pipeline()
-
-// Backward compatibility aliases
-export const AugmentationPipeline = Pipeline
-export const augmentationPipeline = pipeline
-
-// Factory functions
-export const createPipeline = async () => new Pipeline()
-export const createStreamingPipeline = async () => new Pipeline()
-
-// Type aliases
-export type StreamlinedPipelineOptions = PipelineOptions
-export type PipelineResult<T> = { success: boolean; data: T; error?: string }
-export type StreamlinedPipelineResult<T> = PipelineResult<T>
-
-// Execution mode alias
-export enum StreamlinedExecutionMode {
-  SEQUENTIAL = 'sequential',
-  PARALLEL = 'parallel',
-  FIRST_SUCCESS = 'firstSuccess',
-  FIRST_RESULT = 'firstResult',
-  THREADED = 'threaded'
-}
diff --git a/src/storage/enhancedClearOperations.ts b/src/storage/enhancedClearOperations.ts
index 2f14e95b..7b73f66d 100644
--- a/src/storage/enhancedClearOperations.ts
+++ b/src/storage/enhancedClearOperations.ts
@@ -287,207 +287,3 @@ export class EnhancedFileSystemClear {
     return result
   }
 }
-
-/**
- * Enhanced S3 bulk delete operations
- */
-export class EnhancedS3Clear {
-  constructor(
-    private s3Client: any,
-    private bucketName: string
-  ) {}
-
-  /**
-   * Optimized bulk delete for S3 storage
-   * Uses batch delete operations for maximum efficiency
-   */
-  async clear(options: ClearOptions = {}): Promise<ClearResult> {
-    const startTime = Date.now()
-    const result: ClearResult = {
-      success: false,
-      itemsDeleted: { nouns: 0, verbs: 0, metadata: 0, system: 0 },
-      duration: 0,
-      errors: []
-    }
-
-    try {
-      // Safety checks
-      if (options.confirmInstanceName) {
-        // Extract instance name from bucket structure or prefix
-        const bucketInfo = await this.getBucketInfo()
-        if (bucketInfo.instanceName !== options.confirmInstanceName) {
-          throw new Error(
-            `Instance name mismatch: expected '${options.confirmInstanceName}', got '${bucketInfo.instanceName}'`
-          )
-        }
-      }
-
-      // Dry run - just count objects
-      if (options.dryRun) {
-        return await this.performDryRun(options)
-      }
-
-      // AWS S3 batch delete supports up to 1000 objects per request
-      const batchSize = Math.min(options.batchSize || 1000, 1000)
-
-      // Delete with optimized batching
-      const prefixes = [
-        { prefix: 'nouns/', key: 'nouns' as keyof typeof result.itemsDeleted },
-        { prefix: 'verbs/', key: 'verbs' as keyof typeof result.itemsDeleted },
-        { prefix: 'metadata/', key: 'metadata' as keyof typeof result.itemsDeleted },
-        { prefix: 'noun-metadata/', key: 'metadata' as keyof typeof result.itemsDeleted },
-        { prefix: 'verb-metadata/', key: 'metadata' as keyof typeof result.itemsDeleted },
-        { prefix: 'system/', key: 'system' as keyof typeof result.itemsDeleted },
-        { prefix: 'index/', key: 'system' as keyof typeof result.itemsDeleted }
-      ]
-
-      for (const { prefix, key } of prefixes) {
-        const deleted = await this.clearPrefixOptimized(
-          prefix,
-          batchSize,
-          (progress) => options.onProgress?.({ 
-            ...progress, 
-            stage: key === 'nouns' ? 'nouns' : 
-                   key === 'verbs' ? 'verbs' :
-                   key === 'metadata' ? 'metadata' : 'system'
-          })
-        )
-        result.itemsDeleted[key] += deleted
-      }
-
-      result.success = true
-      result.duration = Date.now() - startTime
-
-    } catch (error) {
-      result.errors.push(error as Error)
-      result.duration = Date.now() - startTime
-    }
-
-    return result
-  }
-
-  /**
-   * High-performance prefix clearing using S3 batch delete
-   */
-  private async clearPrefixOptimized(
-    prefix: string,
-    batchSize: number,
-    onProgress?: (progress: Omit<ClearProgress, 'stage'>) => void
-  ): Promise<number> {
-    const { ListObjectsV2Command, DeleteObjectsCommand } = await import('@aws-sdk/client-s3')
-    
-    let totalDeleted = 0
-    let continuationToken: string | undefined
-
-    do {
-      // List objects with the prefix
-      const listResponse = await this.s3Client.send(
-        new ListObjectsV2Command({
-          Bucket: this.bucketName,
-          Prefix: prefix,
-          MaxKeys: batchSize,
-          ContinuationToken: continuationToken
-        })
-      )
-
-      if (!listResponse.Contents || listResponse.Contents.length === 0) {
-        break
-      }
-
-      // Prepare batch delete request
-      const objectsToDelete = listResponse.Contents
-        .filter((obj: any) => obj.Key)
-        .map((obj: any) => ({ Key: obj.Key! }))
-
-      if (objectsToDelete.length > 0) {
-        // Perform batch delete
-        const deleteResponse = await this.s3Client.send(
-          new DeleteObjectsCommand({
-            Bucket: this.bucketName,
-            Delete: {
-              Objects: objectsToDelete,
-              Quiet: false // Get detailed response
-            }
-          })
-        )
-
-        const deletedCount = deleteResponse.Deleted?.length || 0
-        totalDeleted += deletedCount
-
-        // Report any errors
-        if (deleteResponse.Errors && deleteResponse.Errors.length > 0) {
-          for (const error of deleteResponse.Errors) {
-            console.warn(`Failed to delete ${error.Key}: ${error.Message}`)
-          }
-        }
-
-        // Report progress
-        onProgress?.({
-          totalItems: totalDeleted + (listResponse.IsTruncated ? 1000 : 0), // Estimate
-          processedItems: totalDeleted,
-          errors: deleteResponse.Errors?.length || 0
-        })
-      }
-
-      continuationToken = listResponse.NextContinuationToken
-
-      // Small delay to respect AWS rate limits
-      await new Promise(resolve => setTimeout(resolve, 10))
-
-    } while (continuationToken)
-
-    return totalDeleted
-  }
-
-  private async getBucketInfo(): Promise<{ instanceName: string }> {
-    // Each Brainy instance has its own bucket with the same name as the instance
-    // The bucket name IS the instance name
-    return { instanceName: this.bucketName }
-  }
-
-  private async performDryRun(options: ClearOptions): Promise<ClearResult> {
-    const startTime = Date.now()
-    const { ListObjectsV2Command } = await import('@aws-sdk/client-s3')
-    
-    const result: ClearResult = {
-      success: true,
-      itemsDeleted: { nouns: 0, verbs: 0, metadata: 0, system: 0 },
-      duration: 0,
-      errors: []
-    }
-
-    const countObjects = async (prefix: string): Promise<number> => {
-      let count = 0
-      let continuationToken: string | undefined
-
-      do {
-        const response = await this.s3Client.send(
-          new ListObjectsV2Command({
-            Bucket: this.bucketName,
-            Prefix: prefix,
-            MaxKeys: 1000,
-            ContinuationToken: continuationToken
-          })
-        )
-
-        count += response.KeyCount || 0
-        continuationToken = response.NextContinuationToken
-      } while (continuationToken)
-
-      return count
-    }
-
-    result.itemsDeleted.nouns = await countObjects('nouns/')
-    result.itemsDeleted.verbs = await countObjects('verbs/')
-    result.itemsDeleted.metadata = 
-      await countObjects('metadata/') +
-      await countObjects('noun-metadata/') +
-      await countObjects('verb-metadata/')
-    result.itemsDeleted.system = 
-      await countObjects('system/') +
-      await countObjects('index/')
-
-    result.duration = Date.now() - startTime
-    return result
-  }
-}
\ No newline at end of file
diff --git a/src/storage/storageFactory.ts b/src/storage/storageFactory.ts
index caac302d..2d6db868 100644
--- a/src/storage/storageFactory.ts
+++ b/src/storage/storageFactory.ts
@@ -18,7 +18,6 @@
 
 import type { StorageAdapter } from '../coreTypes.js'
 import { MemoryStorage } from './adapters/memoryStorage.js'
-import { isBrowser } from '../utils/environment.js'
 import type { OperationConfig } from '../utils/operationUtils.js'
 
 /**
@@ -80,11 +79,10 @@ function configureCOW(storage: any, options?: StorageOptions): void {
 /**
  * Resolve `StorageOptions` to a concrete storage adapter.
  *
- * - `'auto'` (default) picks `FileSystemStorage` when the runtime exposes
- *   the Node `fs` API, otherwise falls back to `MemoryStorage`.
+ * - `'auto'` (default) picks `FileSystemStorage`, falling back to
+ *   `MemoryStorage` only if filesystem init fails (e.g. no write permission).
  * - `forceMemoryStorage: true` returns `MemoryStorage` regardless.
- * - `forceFileSystemStorage: true` returns `FileSystemStorage` and throws in
- *   the browser.
+ * - `forceFileSystemStorage: true` returns `FileSystemStorage`.
  */
 export async function createStorage(options: StorageOptions = {}): Promise<StorageAdapter> {
   const storage = await pickAdapter(options)
@@ -104,27 +102,15 @@ async function pickAdapter(options: StorageOptions): Promise<StorageAdapter> {
   }
 
   if (requestedType === 'filesystem' || options.forceFileSystemStorage) {
-    if (isBrowser()) {
-      throw new Error(
-        "Brainy: 'filesystem' storage is not available in browser environments. " +
-          "Use `type: 'memory'` for in-browser brains, or run on a Node-like runtime."
-      )
-    }
     return await createFilesystemStorage(options)
   }
 
-  // 'auto': filesystem if we have Node-like fs, otherwise memory.
-  if (!isBrowser()) {
-    try {
-      return await createFilesystemStorage(options)
-    } catch (err) {
-      // Fall back to memory if filesystem init fails for any reason
-      // (e.g. no write permission on rootDirectory).
-      return new MemoryStorage()
-    }
+  // 'auto': prefer filesystem, fall back to memory if init fails.
+  try {
+    return await createFilesystemStorage(options)
+  } catch {
+    return new MemoryStorage()
   }
-
-  return new MemoryStorage()
 }
 
 async function createFilesystemStorage(options: StorageOptions): Promise<StorageAdapter> {
diff --git a/src/unified.ts b/src/unified.ts
index 13cfbdd2..0add5a98 100644
--- a/src/unified.ts
+++ b/src/unified.ts
@@ -1,74 +1,30 @@
 /**
- * Unified entry point for Brainy
- * This file exports everything from index.ts
- * Environment detection is handled here and made available to all components
+ * @module unified
+ * @description Unified entry point for Brainy. Re-exports the public surface
+ * from `index.js` and surfaces a tiny runtime-environment object the rest of
+ * the library can read.
+ *
+ * 8.0 supports Node-like runtimes only (Node.js, Bun, Deno); the browser
+ * detection helpers and Worker Thread plumbing are gone.
  */
 
-// CRITICAL: The TensorFlow.js environment patch is now centralized in setup.ts
-// We import setup.ts below which applies the necessary patches
-
-// CRITICAL: Import setup.js first to ensure TensorFlow.js environment patching
-// This MUST be the first import to prevent race conditions with TensorFlow.js initialization
-// Moving or removing this import will cause errors like "TextEncoder is not a constructor"
-// when the package is used in Node.js environments
-//
-// The setup.js file applies a patch that ensures TextEncoder/TextDecoder are properly
-// available to TensorFlow.js before it initializes its platform detection
 import './setup.js'
 
-// Import environment detection functions
-import { 
-  isBrowser, 
-  isNode, 
-  isWebWorker, 
-  isThreadingAvailable, 
-  isThreadingAvailableAsync, 
-  areWorkerThreadsAvailable 
-} from './utils/environment.js'
+import { isNode } from './utils/environment.js'
 
-// Export environment information with lazy evaluation
 export const environment = {
-  get isBrowser() {
-    return isBrowser()
-  },
   get isNode() {
     return isNode()
-  },
-  get isServerless() {
-    return !isBrowser() && !isNode()
-  },
-  isWebWorker: function() {
-    return isWebWorker()
-  },
-  get isThreadingAvailable() {
-    return isThreadingAvailable()
-  },
-  isThreadingAvailableAsync: function() {
-    return isThreadingAvailableAsync()
-  },
-  areWorkerThreadsAvailable: function() {
-    return areWorkerThreadsAvailable()
   }
 }
 
-// Make environment information available globally
 if (typeof globalThis !== 'undefined') {
-  (globalThis as any).__ENV__ = environment
+  ;(globalThis as any).__ENV__ = environment
 }
 
-// Log the detected environment
 console.log(
-  `Brainy running in ${
-    environment.isBrowser
-      ? 'browser'
-      : environment.isNode
-        ? 'Node.js'
-        : 'serverless/unknown'
-  } environment`
+  `Brainy running on ${environment.isNode ? 'Node-like runtime' : 'unknown runtime'}`
 )
 
-// Re-export everything from index.ts
 export * from './index.js'
-
-// Export the TensorFlow patch function for testing and manual use
 export { applyTensorFlowPatch } from './utils/textEncoding.js'
diff --git a/src/utils/adaptiveSocketManager.ts b/src/utils/adaptiveSocketManager.ts
deleted file mode 100644
index e6b70455..00000000
--- a/src/utils/adaptiveSocketManager.ts
+++ /dev/null
@@ -1,474 +0,0 @@
-/**
- * Adaptive Socket Manager
- * Automatically manages socket pools and connection settings based on load patterns
- * Zero-configuration approach that learns and adapts to workload characteristics
- */
-
-import { Agent as HttpsAgent } from 'node:https'
-import { NodeHttpHandler } from '@smithy/node-http-handler'
-import { createModuleLogger } from './logger.js'
-
-interface LoadMetrics {
-  requestsPerSecond: number
-  pendingRequests: number
-  socketUtilization: number
-  errorRate: number
-  latencyP50: number
-  latencyP95: number
-  memoryUsage: number
-}
-
-interface AdaptiveConfig {
-  maxSockets: number
-  maxFreeSockets: number
-  keepAliveTimeout: number
-  connectionTimeout: number
-  socketTimeout: number
-  batchSize: number
-}
-
-/**
- * Adaptive Socket Manager that automatically scales based on load patterns
- */
-export class AdaptiveSocketManager {
-  private logger = createModuleLogger('AdaptiveSocketManager')
-  
-  // Current configuration
-  private config: AdaptiveConfig = {
-    maxSockets: 100,  // Start conservative
-    maxFreeSockets: 20,
-    keepAliveTimeout: 60000,
-    connectionTimeout: 10000,
-    socketTimeout: 60000,
-    batchSize: 10
-  }
-  
-  // Performance tracking
-  private metrics: LoadMetrics = {
-    requestsPerSecond: 0,
-    pendingRequests: 0,
-    socketUtilization: 0,
-    errorRate: 0,
-    latencyP50: 0,
-    latencyP95: 0,
-    memoryUsage: 0
-  }
-  
-  // Historical data for learning
-  private history: LoadMetrics[] = []
-  private maxHistorySize = 100
-  
-  // Adaptation state
-  private lastAdaptationTime = 0
-  private adaptationInterval = 5000  // Check every 5 seconds
-  private consecutiveHighLoad = 0
-  private consecutiveLowLoad = 0
-  
-  // Request tracking
-  private requestStartTimes = new Map<string, number>()
-  private requestLatencies: number[] = []
-  private errorCount = 0
-  private successCount = 0
-  private lastMetricReset = Date.now()
-  
-  // Socket pool instances
-  private currentAgent: HttpsAgent | null = null
-  private currentHandler: NodeHttpHandler | null = null
-  
-  /**
-   * Get or create an optimized HTTP handler
-   */
-  public getHttpHandler(): NodeHttpHandler {
-    // Adapt configuration if needed
-    this.adaptIfNeeded()
-    
-    // Create new handler if configuration changed
-    if (!this.currentHandler || this.shouldRecreateHandler()) {
-      this.currentAgent = new HttpsAgent({
-        keepAlive: true,
-        maxSockets: this.config.maxSockets,
-        maxFreeSockets: this.config.maxFreeSockets,
-        timeout: this.config.keepAliveTimeout,
-        scheduling: 'fifo'  // Fair scheduling for high-volume scenarios
-      })
-      
-      this.currentHandler = new NodeHttpHandler({
-        httpsAgent: this.currentAgent,
-        connectionTimeout: this.config.connectionTimeout,
-        socketTimeout: this.config.socketTimeout
-      })
-      
-      this.logger.debug('Created new HTTP handler with config:', this.config)
-    }
-    
-    return this.currentHandler
-  }
-  
-  /**
-   * Get current batch size recommendation
-   */
-  public getBatchSize(): number {
-    this.adaptIfNeeded()
-    return this.config.batchSize
-  }
-  
-  /**
-   * Track request start
-   */
-  public trackRequestStart(requestId: string): void {
-    this.requestStartTimes.set(requestId, Date.now())
-    this.metrics.pendingRequests++
-  }
-  
-  /**
-   * Track request completion
-   */
-  public trackRequestComplete(requestId: string, success: boolean): void {
-    const startTime = this.requestStartTimes.get(requestId)
-    if (startTime) {
-      const latency = Date.now() - startTime
-      this.requestLatencies.push(latency)
-      this.requestStartTimes.delete(requestId)
-      
-      // Keep latency array bounded
-      if (this.requestLatencies.length > 1000) {
-        this.requestLatencies = this.requestLatencies.slice(-500)
-      }
-    }
-    
-    if (success) {
-      this.successCount++
-    } else {
-      this.errorCount++
-    }
-    
-    this.metrics.pendingRequests = Math.max(0, this.metrics.pendingRequests - 1)
-  }
-  
-  /**
-   * Check if we should adapt configuration
-   */
-  private adaptIfNeeded(): void {
-    const now = Date.now()
-    if (now - this.lastAdaptationTime < this.adaptationInterval) {
-      return
-    }
-    
-    this.lastAdaptationTime = now
-    this.updateMetrics()
-    this.analyzeAndAdapt()
-  }
-  
-  /**
-   * Update current metrics
-   */
-  private updateMetrics(): void {
-    const now = Date.now()
-    const timeSinceReset = (now - this.lastMetricReset) / 1000
-    
-    // Calculate requests per second
-    const totalRequests = this.successCount + this.errorCount
-    this.metrics.requestsPerSecond = timeSinceReset > 0 
-      ? totalRequests / timeSinceReset 
-      : 0
-    
-    // Calculate error rate
-    this.metrics.errorRate = totalRequests > 0 
-      ? this.errorCount / totalRequests 
-      : 0
-    
-    // Calculate latency percentiles
-    if (this.requestLatencies.length > 0) {
-      const sorted = [...this.requestLatencies].sort((a, b) => a - b)
-      const p50Index = Math.floor(sorted.length * 0.5)
-      const p95Index = Math.floor(sorted.length * 0.95)
-      this.metrics.latencyP50 = sorted[p50Index] || 0
-      this.metrics.latencyP95 = sorted[p95Index] || 0
-    }
-    
-    // Calculate socket utilization
-    this.metrics.socketUtilization = this.metrics.pendingRequests / this.config.maxSockets
-    
-    // Memory usage
-    if (typeof process !== 'undefined' && process.memoryUsage) {
-      const memUsage = process.memoryUsage()
-      this.metrics.memoryUsage = memUsage.heapUsed / memUsage.heapTotal
-    }
-    
-    // Add to history
-    this.history.push({ ...this.metrics })
-    if (this.history.length > this.maxHistorySize) {
-      this.history.shift()
-    }
-    
-    // Reset counters periodically
-    if (timeSinceReset > 60) {
-      this.lastMetricReset = now
-      this.successCount = 0
-      this.errorCount = 0
-    }
-  }
-  
-  /**
-   * Analyze metrics and adapt configuration
-   */
-  private analyzeAndAdapt(): void {
-    const wasConfig = { ...this.config }
-    
-    // Detect high load conditions
-    const isHighLoad = this.detectHighLoad()
-    const isLowLoad = this.detectLowLoad()
-    const hasErrors = this.metrics.errorRate > 0.01  // More than 1% errors
-    
-    if (isHighLoad) {
-      this.consecutiveHighLoad++
-      this.consecutiveLowLoad = 0
-      
-      if (this.consecutiveHighLoad >= 2) {  // Wait for 2 consecutive high load readings
-        this.scaleUp()
-      }
-    } else if (isLowLoad) {
-      this.consecutiveLowLoad++
-      this.consecutiveHighLoad = 0
-      
-      if (this.consecutiveLowLoad >= 6) {  // Wait longer before scaling down
-        this.scaleDown()
-      }
-    } else {
-      // Reset counters if load is normal
-      this.consecutiveHighLoad = Math.max(0, this.consecutiveHighLoad - 1)
-      this.consecutiveLowLoad = Math.max(0, this.consecutiveLowLoad - 1)
-    }
-    
-    // Handle error conditions
-    if (hasErrors) {
-      this.handleErrors()
-    }
-    
-    // Log significant changes
-    if (JSON.stringify(wasConfig) !== JSON.stringify(this.config)) {
-      this.logger.info('Adapted configuration', {
-        from: wasConfig,
-        to: this.config,
-        metrics: this.metrics
-      })
-    }
-  }
-  
-  /**
-   * Detect high load conditions
-   */
-  private detectHighLoad(): boolean {
-    return (
-      this.metrics.socketUtilization > 0.7 ||  // Sockets heavily used
-      this.metrics.pendingRequests > this.config.maxSockets * 0.8 ||  // Many pending requests
-      this.metrics.latencyP95 > 5000 ||  // High latency
-      this.metrics.requestsPerSecond > 100  // High request rate
-    )
-  }
-  
-  /**
-   * Detect low load conditions
-   */
-  private detectLowLoad(): boolean {
-    return (
-      this.metrics.socketUtilization < 0.2 &&  // Sockets barely used
-      this.metrics.pendingRequests < 5 &&  // Few pending requests
-      this.metrics.latencyP95 < 1000 &&  // Low latency
-      this.metrics.requestsPerSecond < 10 &&  // Low request rate
-      this.metrics.memoryUsage < 0.5  // Low memory usage
-    )
-  }
-  
-  /**
-   * Scale up resources for high load
-   */
-  private scaleUp(): void {
-    // Increase socket limits progressively
-    const scaleFactor = this.metrics.errorRate > 0.05 ? 1.5 : 2.0  // Scale more aggressively if no errors
-    
-    this.config.maxSockets = Math.min(
-      2000,  // Hard limit to prevent resource exhaustion
-      Math.ceil(this.config.maxSockets * scaleFactor)
-    )
-    
-    this.config.maxFreeSockets = Math.min(
-      200,
-      Math.ceil(this.config.maxSockets * 0.1)  // Keep 10% as free sockets
-    )
-    
-    // Increase batch size for better throughput
-    this.config.batchSize = Math.min(
-      100,
-      Math.ceil(this.config.batchSize * 1.5)
-    )
-    
-    // Adjust timeouts for high load
-    this.config.keepAliveTimeout = 120000  // Keep connections alive longer
-    this.config.connectionTimeout = 15000  // Allow more time for connections
-    this.config.socketTimeout = 90000  // Allow more time for responses
-    
-    this.logger.debug('Scaled up for high load', {
-      sockets: this.config.maxSockets,
-      batchSize: this.config.batchSize
-    })
-  }
-  
-  /**
-   * Scale down resources for low load
-   */
-  private scaleDown(): void {
-    // Only scale down if memory pressure is low
-    if (this.metrics.memoryUsage > 0.7) {
-      return
-    }
-    
-    // Decrease socket limits conservatively
-    this.config.maxSockets = Math.max(
-      50,  // Minimum sockets
-      Math.floor(this.config.maxSockets * 0.7)
-    )
-    
-    this.config.maxFreeSockets = Math.max(
-      10,
-      Math.floor(this.config.maxSockets * 0.2)  // Keep 20% as free sockets
-    )
-    
-    // Decrease batch size
-    this.config.batchSize = Math.max(
-      5,
-      Math.floor(this.config.batchSize * 0.7)
-    )
-    
-    // Adjust timeouts for low load
-    this.config.keepAliveTimeout = 60000
-    this.config.connectionTimeout = 10000
-    this.config.socketTimeout = 60000
-    
-    this.logger.debug('Scaled down for low load', {
-      sockets: this.config.maxSockets,
-      batchSize: this.config.batchSize
-    })
-  }
-  
-  /**
-   * Handle error conditions by adjusting configuration
-   */
-  private handleErrors(): void {
-    const errorRate = this.metrics.errorRate
-    
-    if (errorRate > 0.1) {  // More than 10% errors
-      // Severe errors - back off aggressively
-      this.config.maxSockets = Math.max(50, Math.floor(this.config.maxSockets * 0.5))
-      this.config.batchSize = Math.max(1, Math.floor(this.config.batchSize * 0.3))
-      this.config.connectionTimeout = Math.min(30000, this.config.connectionTimeout * 2)
-      this.config.socketTimeout = Math.min(120000, this.config.socketTimeout * 2)
-      
-      this.logger.warn('High error rate detected, backing off', {
-        errorRate,
-        newConfig: this.config
-      })
-    } else if (errorRate > 0.05) {  // More than 5% errors
-      // Moderate errors - reduce load slightly
-      this.config.batchSize = Math.max(1, Math.floor(this.config.batchSize * 0.7))
-      this.config.connectionTimeout = Math.min(20000, this.config.connectionTimeout * 1.2)
-    }
-  }
-  
-  /**
-   * Check if we should recreate the handler
-   */
-  private shouldRecreateHandler(): boolean {
-    if (!this.currentAgent) return true
-    
-    // Recreate if socket configuration changed significantly
-    const currentMaxSockets = (this.currentAgent as any).maxSockets
-    const socketsDiff = Math.abs(currentMaxSockets - this.config.maxSockets)
-    
-    return socketsDiff > currentMaxSockets * 0.5  // 50% change threshold
-  }
-  
-  /**
-   * Get current configuration (for monitoring)
-   */
-  public getConfig(): Readonly<AdaptiveConfig> {
-    return { ...this.config }
-  }
-  
-  /**
-   * Get current metrics (for monitoring)
-   */
-  public getMetrics(): Readonly<LoadMetrics> {
-    return { ...this.metrics }
-  }
-  
-  /**
-   * Predict optimal configuration based on historical data
-   */
-  public predictOptimalConfig(): AdaptiveConfig {
-    if (this.history.length < 10) {
-      return this.config  // Not enough data to predict
-    }
-    
-    // Analyze recent history
-    const recentHistory = this.history.slice(-20)
-    const avgRPS = recentHistory.reduce((sum, m) => sum + m.requestsPerSecond, 0) / recentHistory.length
-    const maxRPS = Math.max(...recentHistory.map(m => m.requestsPerSecond))
-    const avgLatency = recentHistory.reduce((sum, m) => sum + m.latencyP95, 0) / recentHistory.length
-    
-    // Predict optimal socket count based on request patterns
-    const optimalSockets = Math.min(2000, Math.max(50, Math.ceil(maxRPS * 2)))
-    
-    // Predict optimal batch size based on latency
-    const optimalBatchSize = avgLatency < 1000 ? 50 : avgLatency < 3000 ? 20 : 10
-    
-    return {
-      maxSockets: optimalSockets,
-      maxFreeSockets: Math.ceil(optimalSockets * 0.15),
-      keepAliveTimeout: avgRPS > 50 ? 120000 : 60000,
-      connectionTimeout: avgLatency > 3000 ? 20000 : 10000,
-      socketTimeout: avgLatency > 3000 ? 90000 : 60000,
-      batchSize: optimalBatchSize
-    }
-  }
-  
-  /**
-   * Reset to default configuration
-   */
-  public reset(): void {
-    this.config = {
-      maxSockets: 100,
-      maxFreeSockets: 20,
-      keepAliveTimeout: 60000,
-      connectionTimeout: 10000,
-      socketTimeout: 60000,
-      batchSize: 10
-    }
-    
-    this.consecutiveHighLoad = 0
-    this.consecutiveLowLoad = 0
-    this.history = []
-    this.requestLatencies = []
-    this.errorCount = 0
-    this.successCount = 0
-    
-    // Force recreation of handler
-    this.currentAgent = null
-    this.currentHandler = null
-    
-    this.logger.info('Reset to default configuration')
-  }
-}
-
-// Global singleton instance
-let globalSocketManager: AdaptiveSocketManager | null = null
-
-/**
- * Get the global socket manager instance
- */
-export function getGlobalSocketManager(): AdaptiveSocketManager {
-  if (!globalSocketManager) {
-    globalSocketManager = new AdaptiveSocketManager()
-  }
-  return globalSocketManager
-}
\ No newline at end of file
diff --git a/src/utils/autoConfiguration.ts b/src/utils/autoConfiguration.ts
index e6ac7f69..bf7e9886 100644
--- a/src/utils/autoConfiguration.ts
+++ b/src/utils/autoConfiguration.ts
@@ -3,17 +3,17 @@
  * Detects environment, resources, and data patterns to provide optimal settings
  */
 
-import { isBrowser, isNode, isThreadingAvailable } from './environment.js'
+import { isNode } from './environment.js'
 
 export interface AutoConfigResult {
   // Environment details
-  environment: 'browser' | 'nodejs' | 'serverless' | 'unknown'
-  
+  environment: 'nodejs' | 'serverless' | 'unknown'
+
   // Resource detection
   availableMemory: number // bytes
   cpuCores: number
-  threadingAvailable: boolean
-  
+
+
   // Storage capabilities
   persistentStorageAvailable: boolean
   s3StorageDetected: boolean
@@ -201,22 +201,18 @@ export class AutoConfiguration {
   /**
    * Detect the current runtime environment
    */
-  private detectEnvironment(): 'browser' | 'nodejs' | 'serverless' | 'unknown' {
-    if (isBrowser()) {
-      return 'browser'
-    }
-    
+  private detectEnvironment(): 'nodejs' | 'serverless' | 'unknown' {
     if (isNode()) {
       // Check for serverless environment indicators
-      if (process.env.AWS_LAMBDA_FUNCTION_NAME || 
-          process.env.VERCEL || 
+      if (process.env.AWS_LAMBDA_FUNCTION_NAME ||
+          process.env.VERCEL ||
           process.env.NETLIFY ||
           process.env.CLOUDFLARE_WORKERS) {
         return 'serverless'
       }
       return 'nodejs'
     }
-    
+
     return 'unknown'
   }
   
@@ -226,40 +222,21 @@ export class AutoConfiguration {
   private async detectResources(): Promise<{
     availableMemory: number
     cpuCores: number
-    threadingAvailable: boolean
   }> {
     let availableMemory = 2 * 1024 * 1024 * 1024 // Default 2GB
     let cpuCores = 4 // Default 4 cores
-    
-    // Browser memory detection
-    if (isBrowser()) {
-      // @ts-ignore - navigator.deviceMemory is experimental
-      if (navigator.deviceMemory) {
-        // @ts-ignore
-        availableMemory = navigator.deviceMemory * 1024 * 1024 * 1024 * 0.3 // Use 30% of device memory
-      } else {
-        availableMemory = 512 * 1024 * 1024 // Conservative 512MB for browsers
-      }
-      
-      cpuCores = navigator.hardwareConcurrency || 4
-    }
-    
-    // Node.js memory detection
+
     if (isNode()) {
       try {
         const os = await import('node:os')
         availableMemory = os.totalmem() * 0.7 // Use 70% of total memory
         cpuCores = os.cpus().length
-      } catch (error) {
+      } catch {
         // Fallback to defaults
       }
     }
-    
-    return {
-      availableMemory,
-      cpuCores,
-      threadingAvailable: isThreadingAvailable()
-    }
+
+    return { availableMemory, cpuCores }
   }
   
   /**
@@ -271,21 +248,14 @@ export class AutoConfiguration {
   }> {
     let persistentStorageAvailable = false
     let s3StorageDetected = s3Hint || false
-    
-    if (isBrowser()) {
-      // Check for OPFS support
-      persistentStorageAvailable = 'navigator' in globalThis && 
-                                  'storage' in navigator && 
-                                  'getDirectory' in navigator.storage
-    }
-    
+
     if (isNode()) {
-      persistentStorageAvailable = true // Always available in Node.js
-      
-      // Check for AWS SDK or S3 environment variables
-      s3StorageDetected = s3Hint || 
-                         !!(process.env.AWS_ACCESS_KEY_ID && process.env.AWS_SECRET_ACCESS_KEY) ||
-                         !!(process.env.S3_BUCKET_NAME)
+      persistentStorageAvailable = true
+      // 8.0 dropped cloud storage adapters; the s3StorageDetected flag is
+      // preserved as a hint for operator backup tooling, not adapter wiring.
+      s3StorageDetected = s3Hint ||
+        !!(process.env.AWS_ACCESS_KEY_ID && process.env.AWS_SECRET_ACCESS_KEY) ||
+        !!(process.env.S3_BUCKET_NAME)
     }
     
     return {
@@ -311,7 +281,7 @@ export class AutoConfiguration {
       maxMemoryUsage: memoryBudget,
       targetSearchLatency: 150,
       enablePartitioning: datasetSize > 25000,
-      enableCompression: environment === 'browser' || memoryBudget < 2 * 1024 * 1024 * 1024,
+      enableCompression: memoryBudget < 2 * 1024 * 1024 * 1024,
       enableDistributedSearch: resources.cpuCores > 2 && datasetSize > 50000,
       enablePredictiveCaching: true,
       partitionStrategy: 'semantic' as const,
@@ -321,17 +291,6 @@ export class AutoConfiguration {
     
     // Environment-specific adjustments
     switch (environment) {
-      case 'browser':
-        config = {
-          ...config,
-          maxMemoryUsage: Math.min(memoryBudget, 1024 * 1024 * 1024), // Cap at 1GB
-          targetSearchLatency: 200, // More lenient for browsers
-          enableCompression: true, // Always enable for browsers
-          maxNodesPerPartition: 25000, // Smaller partitions
-          semanticClusters: 4 // Fewer clusters to save memory
-        }
-        break
-        
       case 'serverless':
         config = {
           ...config,
@@ -437,7 +396,6 @@ export class AutoConfiguration {
     const environment = this.detectEnvironment()
     
     switch (environment) {
-      case 'browser': return 10000
       case 'serverless': return 50000
       case 'nodejs': return 100000
       default: return 25000
diff --git a/src/utils/distance.ts b/src/utils/distance.ts
index 9a322c4d..524f2837 100644
--- a/src/utils/distance.ts
+++ b/src/utils/distance.ts
@@ -5,8 +5,6 @@
  */
 
 import { DistanceFunction, Vector } from '../coreTypes.js'
-import { executeInThread } from './workerUtils.js'
-import { isThreadingAvailable } from './environment.js'
 
 /**
  * Calculates the Euclidean distance between two vectors
diff --git a/src/utils/environment.ts b/src/utils/environment.ts
index 021e983a..bf899716 100644
--- a/src/utils/environment.ts
+++ b/src/utils/environment.ts
@@ -1,25 +1,17 @@
 /**
- * Utility functions for environment detection
+ * @module utils/environment
+ * @description Runtime environment detection helpers. 8.0 supports Node.js,
+ * Bun, and Deno on the server side only — browsers were dropped from the
+ * support matrix in 8.0, so the helpers here assume a Node-like runtime.
  */
 
 /**
- * Check if code is running in a browser environment
- * @deprecated Browser support is deprecated and will be removed in v8.0. Use Node.js or Bun instead.
- */
-export function isBrowser(): boolean {
-  return typeof window !== 'undefined' && typeof document !== 'undefined'
-}
-
-/**
- * Check if code is running in a Node.js environment
+ * @description True when running inside a Node-compatible runtime
+ * (Node.js, Bun, Deno node-compat). 8.0 has no browser path, so this is
+ * effectively always true in a deployed brain — the function is kept for
+ * defensive checks at runtime boundaries.
  */
 export function isNode(): boolean {
-  // If browser environment is detected, prioritize it over Node.js
-  // This handles cases like jsdom where both window and process exist
-  if (isBrowser()) {
-    return false
-  }
-
   return (
     typeof process !== 'undefined' &&
     process.versions != null &&
@@ -28,161 +20,64 @@ export function isNode(): boolean {
 }
 
 /**
- * Check if code is running in a Web Worker environment
- */
-export function isWebWorker(): boolean {
-  return (
-    typeof self === 'object' &&
-    self.constructor &&
-    self.constructor.name === 'DedicatedWorkerGlobalScope'
-  )
-}
-
-/**
- * Check if Web Workers are available in the current environment
- * @deprecated Browser support is deprecated and will be removed in v8.0. Use Node.js Worker Threads instead.
- */
-export function areWebWorkersAvailable(): boolean {
-  return isBrowser() && typeof Worker !== 'undefined'
-}
-
-/**
- * Check if Worker Threads are available in the current environment (Node.js)
- */
-export async function areWorkerThreadsAvailable(): Promise<boolean> {
-  if (!isNode()) return false
-
-  try {
-    // Use dynamic import to avoid errors in browser environments
-    await import('worker_threads')
-    return true
-  } catch (e) {
-    return false
-  }
-}
-
-/**
- * Synchronous version that doesn't actually try to load the module
- * This is safer in ES module environments
- */
-export function areWorkerThreadsAvailableSync(): boolean {
-  if (!isNode()) return false
-
-  // In Node.js 22+, worker_threads is always available
-  return parseInt(process.versions.node.split('.')[0]) >= 22
-}
-
-/**
- * Determine if threading is available in the current environment
- * Returns true if either Web Workers (browser) or Worker Threads (Node.js) are available
- */
-export function isThreadingAvailable(): boolean {
-  return areWebWorkersAvailable() || areWorkerThreadsAvailableSync()
-}
-
-/**
- * Async version of isThreadingAvailable
- */
-export async function isThreadingAvailableAsync(): Promise<boolean> {
-  return areWebWorkersAvailable() || (await areWorkerThreadsAvailable())
-}
-
-/**
- * Auto-detect production environment to minimize logging costs
+ * @description Auto-detect a production deployment. Returns true when any
+ * common managed-runtime indicator is present (Cloud Run, Lambda, Azure
+ * Functions, Vercel, Netlify, Heroku, Railway, Fly.io, Docker prod), or
+ * when `NODE_ENV=production`. Used to silence verbose logging in prod.
  */
 export function isProductionEnvironment(): boolean {
-  // Node.js environment detection
-  if (isNode()) {
-    // Check common production environment indicators
-    const nodeEnv = process.env.NODE_ENV?.toLowerCase()
-    if (nodeEnv === 'production' || nodeEnv === 'prod') return true
-    
-    // Google Cloud Run detection
-    if (process.env.K_SERVICE || process.env.GOOGLE_CLOUD_PROJECT) return true
-    
-    // AWS Lambda detection  
-    if (process.env.AWS_LAMBDA_FUNCTION_NAME || process.env.AWS_EXECUTION_ENV) return true
-    
-    // Azure Functions detection
-    if (process.env.AZURE_FUNCTIONS_ENVIRONMENT || process.env.WEBSITE_SITE_NAME) return true
-    
-    // Vercel detection
-    if (process.env.VERCEL || process.env.VERCEL_ENV === 'production') return true
-    
-    // Netlify detection
-    if (process.env.NETLIFY && process.env.CONTEXT === 'production') return true
-    
-    // Heroku detection
-    if (process.env.DYNO && process.env.NODE_ENV !== 'development') return true
-    
-    // Railway detection
-    if (process.env.RAILWAY_ENVIRONMENT === 'production') return true
-    
-    // Fly.io detection
-    if (process.env.FLY_APP_NAME && process.env.FLY_REGION) return true
-    
-    // Docker in production (common patterns)
-    if (process.env.DOCKER_ENV === 'production' || process.env.ENVIRONMENT === 'production') return true
-    
-    // Generic production indicators
-    if (process.env.PROD === 'true' || process.env.PRODUCTION === 'true') return true
-  }
-  
-  // Browser environment - assume development unless explicitly production
-  if (isBrowser()) {
-    // Check for production domain patterns
-    const hostname = window?.location?.hostname
-    if (hostname) {
-      // Avoid logging on production domains
-      if (hostname.includes('.com') || hostname.includes('.org') || hostname.includes('.net')) {
-        return !hostname.includes('localhost') && !hostname.includes('127.0.0.1') && !hostname.includes('dev')
-      }
-    }
-  }
-  
+  if (!isNode()) return false
+
+  const nodeEnv = process.env.NODE_ENV?.toLowerCase()
+  if (nodeEnv === 'production' || nodeEnv === 'prod') return true
+
+  if (process.env.K_SERVICE || process.env.GOOGLE_CLOUD_PROJECT) return true
+  if (process.env.AWS_LAMBDA_FUNCTION_NAME || process.env.AWS_EXECUTION_ENV) return true
+  if (process.env.AZURE_FUNCTIONS_ENVIRONMENT || process.env.WEBSITE_SITE_NAME) return true
+  if (process.env.VERCEL || process.env.VERCEL_ENV === 'production') return true
+  if (process.env.NETLIFY && process.env.CONTEXT === 'production') return true
+  if (process.env.DYNO && process.env.NODE_ENV !== 'development') return true
+  if (process.env.RAILWAY_ENVIRONMENT === 'production') return true
+  if (process.env.FLY_APP_NAME && process.env.FLY_REGION) return true
+  if (process.env.DOCKER_ENV === 'production' || process.env.ENVIRONMENT === 'production') return true
+  if (process.env.PROD === 'true' || process.env.PRODUCTION === 'true') return true
+
   return false
 }
 
 /**
- * Get appropriate log level based on environment
+ * @description Resolve a log level from BRAINY_LOG_LEVEL, NODE_ENV, and
+ * deployment-environment heuristics. Production defaults to 'error' so a
+ * busy app doesn't pay for verbose logging.
  */
 export function getLogLevel(): 'silent' | 'error' | 'warn' | 'info' | 'verbose' {
-  // Explicit log level override
   const explicitLevel = process.env.BRAINY_LOG_LEVEL?.toLowerCase()
   if (explicitLevel && ['silent', 'error', 'warn', 'info', 'verbose'].includes(explicitLevel)) {
     return explicitLevel as 'silent' | 'error' | 'warn' | 'info' | 'verbose'
   }
-  
-  // Auto-detect based on environment
-  if (isProductionEnvironment()) {
-    return 'error' // Only log errors in production to minimize costs
-  }
-  
-  // Development environments get more verbose logging
+
+  if (isProductionEnvironment()) return 'error'
+
   if (process.env.NODE_ENV === 'development' || process.env.NODE_ENV === 'dev') {
     return 'verbose'
   }
-  
-  // Test environments should be quieter
-  if (process.env.NODE_ENV === 'test') {
-    return 'warn'
-  }
-  
-  // Default to info level
+
+  if (process.env.NODE_ENV === 'test') return 'warn'
+
   return 'info'
 }
 
 /**
- * Check if logging should be enabled for a given level
+ * @description True when a log message at the requested level should be
+ * emitted given the current configured log level. Returns false in 'silent'.
  */
 export function shouldLog(level: 'error' | 'warn' | 'info' | 'verbose'): boolean {
   const currentLevel = getLogLevel()
-  
   if (currentLevel === 'silent') return false
-  
+
   const levels = ['error', 'warn', 'info', 'verbose']
   const currentIndex = levels.indexOf(currentLevel)
   const messageIndex = levels.indexOf(level)
-  
+
   return messageIndex <= currentIndex
 }
diff --git a/src/utils/index.ts b/src/utils/index.ts
index 2900d4f9..a0d6206e 100644
--- a/src/utils/index.ts
+++ b/src/utils/index.ts
@@ -1,6 +1,5 @@
 export * from './distance.js'
 export * from './embedding.js'
-export * from './workerUtils.js'
 export * from './statisticsCollector.js'
 export * from './jsonProcessing.js'
 export * from './fieldNameTracking.js'
diff --git a/src/utils/performanceMonitor.ts b/src/utils/performanceMonitor.ts
index 424e4949..67e9124c 100644
--- a/src/utils/performanceMonitor.ts
+++ b/src/utils/performanceMonitor.ts
@@ -5,7 +5,6 @@
  */
 
 import { createModuleLogger } from './logger.js'
-import { getGlobalSocketManager } from './adaptiveSocketManager.js'
 import { getGlobalBackpressure } from './adaptiveBackpressure.js'
 
 interface PerformanceMetrics {
@@ -215,10 +214,11 @@ export class PerformanceMonitor {
       }
     }
     
-    // Get metrics from socket manager
-    const socketMetrics = getGlobalSocketManager().getMetrics()
-    this.metrics.socketUtilization = socketMetrics.socketUtilization
-    
+    // Socket-pool metrics were tied to the dropped cloud HTTP handler; not
+    // applicable to filesystem-only 8.0 deployments.
+    this.metrics.socketUtilization = 0
+
+
     // Get metrics from backpressure system
     const backpressureStatus = getGlobalBackpressure().getStatus()
     this.metrics.queueDepth = backpressureStatus.queueLength
@@ -431,14 +431,12 @@ export class PerformanceMonitor {
     metrics: PerformanceMetrics
     trends: PerformanceTrend[]
     recommendations: string[]
-    socketConfig: any
     backpressureStatus: any
   } {
     return {
       metrics: this.getMetrics(),
       trends: this.getTrends(),
       recommendations: this.getRecommendations(),
-      socketConfig: getGlobalSocketManager().getConfig(),
       backpressureStatus: getGlobalBackpressure().getStatus()
     }
   }
diff --git a/src/utils/textEncoding.ts b/src/utils/textEncoding.ts
index 0986f0a1..e1111f94 100644
--- a/src/utils/textEncoding.ts
+++ b/src/utils/textEncoding.ts
@@ -13,15 +13,7 @@ let patchApplied = false
  * Simplified version for Transformers.js/ONNX Runtime
  */
 export async function applyTensorFlowPatch(): Promise<void> {
-  // Apply patches for all non-browser environments that might need TextEncoder/TextDecoder
-  const isBrowserEnv = typeof window !== 'undefined' && typeof document !== 'undefined'
-  if (isBrowserEnv || patchApplied) {
-    return // Browser environments don't need these patches, and don't patch twice
-  }
-
-  if (!isNode()) {
-    return // Only patch Node.js environments
-  }
+  if (patchApplied || !isNode()) return
 
   try {
     console.log('Brainy: Applying TextEncoder/TextDecoder patch for Node.js')
diff --git a/src/utils/workerUtils.ts b/src/utils/workerUtils.ts
deleted file mode 100644
index 372c2a3b..00000000
--- a/src/utils/workerUtils.ts
+++ /dev/null
@@ -1,512 +0,0 @@
-/**
- * Utility functions for executing functions in Worker Threads (Node.js) or Web Workers (Browser)
- * This implementation leverages Node.js 22's stable Worker Threads API for maximum reliability
- */
-
-import { isBrowser, isNode } from './environment.js'
-import { prodLog } from './logger.js'
-
-// Worker pool to reuse workers
-const workerPool: Map<string, any> = new Map()
-const MAX_POOL_SIZE = 4 // Adjust based on system capabilities
-
-/**
- * Execute a function in a separate thread
- *
- * @param fnString The function to execute as a string
- * @param args The arguments to pass to the function
- * @returns A promise that resolves with the result of the function
- */
-export function executeInThread<T>(fnString: string, args: any): Promise<T> {
-  if (isNode()) {
-    return executeInNodeWorker<T>(fnString, args)
-  } else if (isBrowser() && typeof window !== 'undefined' && window.Worker) {
-    return executeInWebWorker<T>(fnString, args)
-  } else {
-    // Fallback to main thread execution
-    try {
-      // Try different approaches to create a function from string
-      let fn
-      try {
-        // First try with 'return' prefix
-        fn = new Function('return ' + fnString)()
-      } catch (functionError) {
-        console.warn(
-          'Fallback: Error creating function with return syntax, trying alternative approaches',
-          functionError
-        )
-
-        try {
-          // Try wrapping in parentheses for function expressions
-          fn = new Function('return (' + fnString + ')')()
-        } catch (wrapError) {
-          console.warn(
-            'Fallback: Error creating function with parentheses wrapping',
-            wrapError
-          )
-
-          try {
-            // Try direct approach for named functions
-            fn = new Function(fnString)()
-          } catch (directError) {
-            console.warn(
-              'Fallback: Direct approach failed, trying with function wrapper',
-              directError
-            )
-
-            try {
-              // Try wrapping in a function that returns the function expression
-              fn = new Function(
-                'return function(args) { return (' + fnString + ')(args); }'
-              )()
-            } catch (wrapperError) {
-              console.error(
-                'Fallback: All approaches to create function failed',
-                wrapperError
-              )
-              throw new Error(
-                'Failed to create function from string: ' +
-                  (functionError as Error).message
-              )
-            }
-          }
-        }
-      }
-
-      return Promise.resolve(fn(args) as T)
-    } catch (error) {
-      return Promise.reject(error)
-    }
-  }
-}
-
-/**
- * Execute a function in a Node.js Worker Thread
- * Optimized for Node.js 22 LTS with stable Worker Threads performance
- */
-function executeInNodeWorker<T>(fnString: string, args: any): Promise<T> {
-  return new Promise<T>((resolve, reject) => {
-    try {
-      // Dynamically import worker_threads (Node.js only)
-      import('node:worker_threads')
-        .then(({ Worker, isMainThread, parentPort, workerData }) => {
-          if (!isMainThread && parentPort) {
-            // We're inside a worker, execute the function
-            const fn = new Function('return ' + workerData.fnString)()
-            const result = fn(workerData.args)
-            parentPort.postMessage({ result })
-            return
-          }
-
-          // Get a worker from the pool or create a new one
-          const workerId = `worker-${Math.random().toString(36).substring(2, 9)}`
-          let worker: any
-
-          if (workerPool.size < MAX_POOL_SIZE) {
-            // Create a new worker
-            worker = new Worker(
-              `
-            import { parentPort, workerData } from 'node:worker_threads';
-
-            // Add TensorFlow.js platform patch for Node.js
-            if (typeof global !== 'undefined') {
-              try {
-                // Define a custom PlatformNode class
-                class PlatformNode {
-                  constructor() {
-                    // Create a util object with necessary methods
-                    this.util = {
-                      // Add isFloat32Array and isTypedArray directly to util
-                      isFloat32Array: (arr) => {
-                        return !!(
-                          arr instanceof Float32Array ||
-                          (arr &&
-                            Object.prototype.toString.call(arr) === '[object Float32Array]')
-                        );
-                      },
-                      isTypedArray: (arr) => {
-                        return !!(ArrayBuffer.isView(arr) && !(arr instanceof DataView));
-                      },
-                      // Use native TextEncoder and TextDecoder
-                      TextEncoder: TextEncoder,
-                      TextDecoder: TextDecoder
-                    };
-
-                    // Initialize encoders using native constructors
-                    this.textEncoder = new TextEncoder();
-                    this.textDecoder = new TextDecoder();
-                  }
-
-                  // Define isFloat32Array directly on the instance
-                  isFloat32Array(arr) {
-                    return !!(
-                      arr instanceof Float32Array ||
-                      (arr && Object.prototype.toString.call(arr) === '[object Float32Array]')
-                    );
-                  }
-
-                  // Define isTypedArray directly on the instance
-                  isTypedArray(arr) {
-                    return !!(ArrayBuffer.isView(arr) && !(arr instanceof DataView));
-                  }
-                }
-
-                // Assign the PlatformNode class to the global object
-                global.PlatformNode = PlatformNode;
-
-                // Also create an instance and assign it to global.platformNode
-                global.platformNode = new PlatformNode();
-
-                // Ensure global.util exists and has the necessary methods
-                if (!global.util) {
-                  global.util = {};
-                }
-
-                // Add isFloat32Array method if it doesn't exist
-                if (!global.util.isFloat32Array) {
-                  global.util.isFloat32Array = (arr) => {
-                    return !!(
-                      arr instanceof Float32Array ||
-                      (arr && Object.prototype.toString.call(arr) === '[object Float32Array]')
-                    );
-                  };
-                }
-
-                // Add isTypedArray method if it doesn't exist
-                if (!global.util.isTypedArray) {
-                  global.util.isTypedArray = (arr) => {
-                    return !!(ArrayBuffer.isView(arr) && !(arr instanceof DataView));
-                  };
-                }
-              } catch (error) {
-                console.warn('Failed to apply TensorFlow.js platform patch:', error);
-              }
-            }
-
-            const fn = new Function('return ' + workerData.fnString)();
-            const result = fn(workerData.args);
-            parentPort.postMessage({ result });
-          `,
-              {
-                eval: true,
-                workerData: { fnString, args }
-              }
-            )
-
-            workerPool.set(workerId, worker)
-          } else {
-            // Reuse an existing worker
-            const poolKeys = Array.from(workerPool.keys())
-            const randomKey =
-              poolKeys[Math.floor(Math.random() * poolKeys.length)]
-            worker = workerPool.get(randomKey)
-
-            // Terminate and recreate if the worker is busy
-            if (worker._busy) {
-              worker.terminate()
-              worker = new Worker(
-                `
-              import { parentPort, workerData } from 'node:worker_threads';
-
-              // Add TensorFlow.js platform patch for Node.js
-              if (typeof global !== 'undefined') {
-                try {
-                  // Define a custom PlatformNode class
-                  class PlatformNode {
-                    constructor() {
-                      // Create a util object with necessary methods
-                      this.util = {
-                        // Use native TextEncoder and TextDecoder
-                        TextEncoder: TextEncoder,
-                        TextDecoder: TextDecoder
-                      };
-
-                      // Initialize encoders using native constructors
-                      this.textEncoder = new TextEncoder();
-                      this.textDecoder = new TextDecoder();
-                    }
-
-                    // Define isFloat32Array directly on the instance
-                    isFloat32Array(arr) {
-                      return !!(
-                        arr instanceof Float32Array ||
-                        (arr && Object.prototype.toString.call(arr) === '[object Float32Array]')
-                      );
-                    }
-
-                    // Define isTypedArray directly on the instance
-                    isTypedArray(arr) {
-                      return !!(ArrayBuffer.isView(arr) && !(arr instanceof DataView));
-                    }
-                  }
-
-                  // Assign the PlatformNode class to the global object
-                  global.PlatformNode = PlatformNode;
-
-                  // Also create an instance and assign it to global.platformNode
-                  global.platformNode = new PlatformNode();
-
-                  // Ensure global.util exists and has the necessary methods
-                  if (!global.util) {
-                    global.util = {};
-                  }
-
-                  // Add isFloat32Array method if it doesn't exist
-                  if (!global.util.isFloat32Array) {
-                    global.util.isFloat32Array = (arr) => {
-                      return !!(
-                        arr instanceof Float32Array ||
-                        (arr && Object.prototype.toString.call(arr) === '[object Float32Array]')
-                      );
-                    };
-                  }
-
-                  // Add isTypedArray method if it doesn't exist
-                  if (!global.util.isTypedArray) {
-                    global.util.isTypedArray = (arr) => {
-                      return !!(ArrayBuffer.isView(arr) && !(arr instanceof DataView));
-                    };
-                  }
-                } catch (error) {
-                  console.warn('Failed to apply TensorFlow.js platform patch:', error);
-                }
-              }
-
-              const fn = new Function('return ' + workerData.fnString)();
-              const result = fn(workerData.args);
-              parentPort.postMessage({ result });
-            `,
-                {
-                  eval: true,
-                  workerData: { fnString, args }
-                }
-              )
-              workerPool.set(randomKey, worker)
-            }
-
-            worker._busy = true
-          }
-
-          worker.on('message', (message: any) => {
-            worker._busy = false
-            resolve(message.result as T)
-          })
-
-          worker.on('error', (err: any) => {
-            worker._busy = false
-            reject(err)
-          })
-
-          worker.on('exit', (code: number) => {
-            if (code !== 0) {
-              worker._busy = false
-              reject(new Error(`Worker stopped with exit code ${code}`))
-            }
-          })
-        })
-        .catch(reject)
-    } catch (error) {
-      reject(error)
-    }
-  })
-}
-
-/**
- * Execute a function in a Web Worker (Browser environment)
- */
-function executeInWebWorker<T>(fnString: string, args: any): Promise<T> {
-  return new Promise<T>((resolve, reject) => {
-    try {
-      // Use the dedicated worker.js file instead of creating a blob
-      // Try different approaches to locate the worker.js file
-      let workerPath = './worker.js'
-
-      try {
-        // First try to use the import.meta.url if available (modern browsers)
-        if (typeof import.meta !== 'undefined' && import.meta.url) {
-          const baseUrl = import.meta.url.substring(
-            0,
-            import.meta.url.lastIndexOf('/') + 1
-          )
-          workerPath = `${baseUrl}worker.js`
-        }
-        // Fallback to a relative path based on the unified.js location
-        else if (typeof document !== 'undefined') {
-          // Find the script tag that loaded unified.js
-          const scripts = document.getElementsByTagName('script')
-          for (let i = 0; i < scripts.length; i++) {
-            const src = scripts[i].src
-            if (src && src.includes('unified.js')) {
-              // Get the directory path
-              workerPath =
-                src.substring(0, src.lastIndexOf('/') + 1) + 'worker.js'
-              break
-            }
-          }
-        }
-      } catch (e) {
-        console.warn(
-          'Could not determine worker path from import.meta.url, using relative path',
-          e
-        )
-      }
-
-      // If we couldn't determine the path, try some common locations
-      if (workerPath === './worker.js' && typeof window !== 'undefined') {
-        // Try to find the worker.js in the same directory as the current page
-        const pageUrl = window.location.href
-        const pageDir = pageUrl.substring(0, pageUrl.lastIndexOf('/') + 1)
-        workerPath = `${pageDir}worker.js`
-
-        // Also check for dist/worker.js
-        if (typeof document !== 'undefined') {
-          const distWorkerPath = `${pageDir}dist/worker.js`
-          // Create a test request to see if the file exists
-          const xhr = new XMLHttpRequest()
-          xhr.open('HEAD', distWorkerPath, false)
-          try {
-            xhr.send()
-            if (xhr.status >= 200 && xhr.status < 300) {
-              workerPath = distWorkerPath
-            }
-          } catch (e) {
-            // Ignore errors, we'll use the default path
-          }
-        }
-      }
-
-      console.log('Using worker path:', workerPath)
-
-      // Try to create a worker, but fall back to inline worker or main thread execution if it fails
-      let worker: Worker
-      try {
-        worker = new Worker(workerPath)
-      } catch (error) {
-        console.warn(
-          'Failed to create Web Worker from file, trying inline worker:',
-          error
-        )
-
-        try {
-          // Create an inline worker using a Blob
-          const workerCode = `
-            // Brainy Inline Worker Script
-            console.log('Brainy Inline Worker: Started');
-
-            self.onmessage = function (e) {
-              try {
-                console.log('Brainy Inline Worker: Received message', e.data ? 'with data' : 'without data');
-
-                if (!e.data || !e.data.fnString) {
-                  throw new Error('Invalid message: missing function string');
-                }
-
-                console.log('Brainy Inline Worker: Creating function from string');
-                const fn = new Function('return ' + e.data.fnString)();
-
-                console.log('Brainy Inline Worker: Executing function with args');
-                const result = fn(e.data.args);
-
-                console.log('Brainy Inline Worker: Function executed successfully, posting result');
-                self.postMessage({ result: result });
-              } catch (error) {
-                console.error('Brainy Inline Worker: Error executing function', error);
-                self.postMessage({ 
-                  error: error.message,
-                  stack: error.stack
-                });
-              }
-            };
-          `
-
-          const blob = new Blob([workerCode], {
-            type: 'application/javascript'
-          })
-          const blobUrl = URL.createObjectURL(blob)
-          worker = new Worker(blobUrl)
-
-          console.log('Created inline worker using Blob URL')
-        } catch (inlineWorkerError) {
-          console.warn(
-            'Failed to create inline Web Worker, falling back to main thread execution:',
-            inlineWorkerError
-          )
-          // Execute in main thread as fallback
-          try {
-            const fn = new Function('return ' + fnString)()
-            resolve(fn(args) as T)
-            return
-          } catch (mainThreadError) {
-            reject(mainThreadError)
-            return
-          }
-        }
-      }
-
-      // Set a timeout to prevent hanging
-      const timeoutId = setTimeout(() => {
-        console.warn(
-          'Web Worker execution timed out, falling back to main thread'
-        )
-        worker.terminate()
-
-        // Execute in main thread as fallback
-        try {
-          const fn = new Function('return ' + fnString)()
-          resolve(fn(args) as T)
-        } catch (mainThreadError) {
-          reject(mainThreadError)
-        }
-      }, 25000) // 25 second timeout (less than the 30 second test timeout)
-
-      worker.onmessage = function (e) {
-        clearTimeout(timeoutId)
-        if (e.data.error) {
-          reject(new Error(e.data.error))
-        } else {
-          resolve(e.data.result as T)
-        }
-        worker.terminate()
-      }
-
-      worker.onerror = function (e) {
-        clearTimeout(timeoutId)
-        console.warn(
-          'Web Worker error, falling back to main thread execution:',
-          e.message
-        )
-        worker.terminate()
-
-        // Execute in main thread as fallback
-        try {
-          const fn = new Function('return ' + fnString)()
-          resolve(fn(args) as T)
-        } catch (mainThreadError) {
-          reject(mainThreadError)
-        }
-      }
-
-      worker.postMessage({ fnString, args })
-    } catch (error) {
-      reject(error)
-    }
-  })
-}
-
-/**
- * Clean up all worker pools
- * This should be called when the application is shutting down
- */
-export function cleanupWorkerPools(): void {
-  if (isNode()) {
-    import('node:worker_threads')
-      .then(({ Worker }) => {
-        for (const worker of workerPool.values()) {
-          worker.terminate()
-        }
-        workerPool.clear()
-        console.log('Worker pools cleaned up')
-      })
-      .catch(console.error)
-  }
-}
diff --git a/src/worker.ts b/src/worker.ts
deleted file mode 100644
index 7f6c5d9a..00000000
--- a/src/worker.ts
+++ /dev/null
@@ -1,72 +0,0 @@
-// Brainy Worker Script
-// This script is used by the workerUtils.js file to execute functions in a separate thread
-
-// Note: TensorFlow.js platform patch is applied in setup.ts
-// Worker scripts should import setup.ts if they need TensorFlow.js functionality
-
-// Log that the worker has started
-console.log('Brainy Worker: Started')
-
-// Define the message handler with proper TypeScript typing
-self.onmessage = function (e: MessageEvent): void {
-  try {
-    console.log(
-      'Brainy Worker: Received message',
-      e.data ? 'with data' : 'without data'
-    )
-
-    if (!e.data || !e.data.fnString) {
-      throw new Error('Invalid message: missing function string')
-    }
-
-    console.log('Brainy Worker: Creating function from string')
-    // Use Function constructor to create a function from the string
-    let fn
-
-    try {
-      // First try with 'return' prefix
-      fn = new Function('return ' + e.data.fnString)()
-    } catch (functionError) {
-      console.warn(
-        'Brainy Worker: Error creating function with return syntax, trying alternative approaches',
-        functionError
-      )
-
-      try {
-        // Try wrapping in parentheses for function expressions
-        fn = new Function('return (' + e.data.fnString + ')')()
-      } catch (wrapError) {
-        console.warn(
-          'Brainy Worker: Error creating function with parentheses wrapping',
-          wrapError
-        )
-
-        try {
-          // Try direct approach for named functions
-          fn = new Function(e.data.fnString)()
-        } catch (directError) {
-          console.error(
-            'Brainy Worker: All approaches to create function failed',
-            directError
-          )
-          throw new Error(
-            'Failed to create function from string: ' +
-              (functionError as Error).message
-          )
-        }
-      }
-    }
-
-    console.log('Brainy Worker: Executing function with args')
-    const result = fn(e.data.args)
-
-    console.log('Brainy Worker: Function executed successfully, posting result')
-    self.postMessage({ result: result })
-  } catch (error: any) {
-    console.error('Brainy Worker: Error executing function', error)
-    self.postMessage({
-      error: error.message,
-      stack: error.stack
-    })
-  }
-}