VAIG (VALO AI Integrity Gateway) — ACS-compatible runtime governance layer, Apache 2.0 #233

Open
Open
VAIG (VALO AI Integrity Gateway) — ACS-compatible runtime governance layer, Apache 2.0#233

Description

@nsolland
nsolland
opened on May 30, 2026

Hi,

We're building VAIG — an open-source runtime governance layer for LLM
inference, designed for EU AI Act Annex III compliance and
insurance-grade auditability. Apache 2.0.

How VAIG maps to ACS

ACS principleVAIG
Runtime InterceptionProbabilistic distrust scoring at every inference
Proof of ControlSHA-256 hash-chained WORM audit log, append-only
Mandatory HaltBinary HALT state, formally verified (TLA+, 4.78M
states, 0 counterexamples)
Contextual GuardrailsDistrustEngine L0–L4 (TRUSTED → MONITOR → WARN →
DEGRADE → HALT)

Key design principle

VAIG sits architecturally outside the model it monitors — it
cannot be influenced, overridden, or manipulated by the system it
validates. This is the same principle that makes Safety Instrumented
Systems (IEC 61511) reliable in industrial process control.

Status

  • Formally verified halt mechanism (TLA+ model-checked)
  • WORM audit log producing legally defensible audit trails
  • Validated on MedQA and LEDGAR benchmarks
  • Designed for deployment on sovereign European infrastructure

We'd like to be listed as a compatible implementation alongside
LangChain/CrewAI. Happy to contribute documentation or a reference
integration guide.

— Njål Solland, VALO Research Group
https://github.com/nsolland/VAIG
pip install vaig

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      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
       blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

      Skip to content
      VAIG (VALO AI Integrity Gateway) — ACS-compatible runtime governance layer, Apache 2.0 #233
      Open
      Open
      VAIG (VALO AI Integrity Gateway) — ACS-compatible runtime governance layer, Apache 2.0#233
      Description
      @nsolland
      nsolland
      opened on May 30, 2026
      Hi,
      We're building VAIG — an open-source runtime governance layer for LLM
      
inference, designed for EU AI Act Annex III compliance and
      
insurance-grade auditability. Apache 2.0.
      How VAIG maps to ACS
      ACS principleVAIG
      Runtime InterceptionProbabilistic distrust scoring at every inference
      Proof of ControlSHA-256 hash-chained WORM audit log, append-only
      Mandatory HaltBinary HALT state, formally verified (TLA+, 4.78M
      states, 0 counterexamples)
      Contextual GuardrailsDistrustEngine L0–L4 (TRUSTED → MONITOR → WARN →
      DEGRADE → HALT)
      Key design principle
      VAIG sits architecturally outside the model it monitors — it
      
cannot be influenced, overridden, or manipulated by the system it
      
validates. This is the same principle that makes Safety Instrumented
      
Systems (IEC 61511) reliable in industrial process control.
      Status
      • Formally verified halt mechanism (TLA+ model-checked)
      • WORM audit log producing legally defensible audit trails
      • Validated on MedQA and LEDGAR benchmarks
      • Designed for deployment on sovereign European infrastructure
      We'd like to be listed as a compatible implementation alongside
      
LangChain/CrewAI. Happy to contribute documentation or a reference
      
integration guide.
      — Njål Solland, VALO Research Group
      https://github.com/nsolland/VAIG
      
pip install vaig
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          No milestone
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          None yet
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          No branches or pull requests
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

          Skip to content
          VAIG (VALO AI Integrity Gateway) — ACS-compatible runtime governance layer, Apache 2.0 #233
          Open
          Open
          VAIG (VALO AI Integrity Gateway) — ACS-compatible runtime governance layer, Apache 2.0#233
          Description
          @nsolland
          nsolland
          opened on May 30, 2026
          Hi,
          We're building VAIG — an open-source runtime governance layer for LLM
          
inference, designed for EU AI Act Annex III compliance and
          
insurance-grade auditability. Apache 2.0.
          How VAIG maps to ACS
          ACS principleVAIG
          Runtime InterceptionProbabilistic distrust scoring at every inference
          Proof of ControlSHA-256 hash-chained WORM audit log, append-only
          Mandatory HaltBinary HALT state, formally verified (TLA+, 4.78M
          states, 0 counterexamples)
          Contextual GuardrailsDistrustEngine L0–L4 (TRUSTED → MONITOR → WARN →
          DEGRADE → HALT)
          Key design principle
          VAIG sits architecturally outside the model it monitors — it
          
cannot be influenced, overridden, or manipulated by the system it
          
validates. This is the same principle that makes Safety Instrumented
          
Systems (IEC 61511) reliable in industrial process control.
          Status
          • Formally verified halt mechanism (TLA+ model-checked)
          • WORM audit log producing legally defensible audit trails
          • Validated on MedQA and LEDGAR benchmarks
          • Designed for deployment on sovereign European infrastructure
          We'd like to be listed as a compatible implementation alongside
          
LangChain/CrewAI. Happy to contribute documentation or a reference
          
integration guide.
          — Njål Solland, VALO Research Group
          https://github.com/nsolland/VAIG
          
pip install vaig
          Metadata
          Metadata
          Assignees
          No one assigned
            Labels
            No labels
            No labels
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            No type
            Projects
            No projects
              Milestone
              No milestone
              Relationships
              None yet
              Development
              No branches or pull requests
              Issue actions
              
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

              Skip to content
              VAIG (VALO AI Integrity Gateway) — ACS-compatible runtime governance layer, Apache 2.0 #233
              Open
              Open
              VAIG (VALO AI Integrity Gateway) — ACS-compatible runtime governance layer, Apache 2.0#233
              Description
              @nsolland
              nsolland
              opened on May 30, 2026
              Hi,
              We're building VAIG — an open-source runtime governance layer for LLM
              
inference, designed for EU AI Act Annex III compliance and
              
insurance-grade auditability. Apache 2.0.
              How VAIG maps to ACS
              ACS principleVAIG
              Runtime InterceptionProbabilistic distrust scoring at every inference
              Proof of ControlSHA-256 hash-chained WORM audit log, append-only
              Mandatory HaltBinary HALT state, formally verified (TLA+, 4.78M
              states, 0 counterexamples)
              Contextual GuardrailsDistrustEngine L0–L4 (TRUSTED → MONITOR → WARN →
              DEGRADE → HALT)
              Key design principle
              VAIG sits architecturally outside the model it monitors — it
              
cannot be influenced, overridden, or manipulated by the system it
              
validates. This is the same principle that makes Safety Instrumented
              
Systems (IEC 61511) reliable in industrial process control.
              Status
              • Formally verified halt mechanism (TLA+ model-checked)
              • WORM audit log producing legally defensible audit trails
              • Validated on MedQA and LEDGAR benchmarks
              • Designed for deployment on sovereign European infrastructure
              We'd like to be listed as a compatible implementation alongside
              
LangChain/CrewAI. Happy to contribute documentation or a reference
              
integration guide.
              — Njål Solland, VALO Research Group
              https://github.com/nsolland/VAIG
              
pip install vaig
              Metadata
              Metadata
              Assignees
              No one assigned
                Labels
                No labels
                No labels
                Type
                No type
                Projects
                No projects
                  Milestone
                  No milestone
                  Relationships
                  None yet
                  Development
                  No branches or pull requests
                  Issue actions
                  
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

                  Skip to content
                  VAIG (VALO AI Integrity Gateway) — ACS-compatible runtime governance layer, Apache 2.0 #233
                  Open
                  Open
                  VAIG (VALO AI Integrity Gateway) — ACS-compatible runtime governance layer, Apache 2.0#233
                  Description
                  @nsolland
                  nsolland
                  opened on May 30, 2026
                  Hi,
                  We're building VAIG — an open-source runtime governance layer for LLM
                  
inference, designed for EU AI Act Annex III compliance and
                  
insurance-grade auditability. Apache 2.0.
                  How VAIG maps to ACS
                  ACS principleVAIG
                  Runtime InterceptionProbabilistic distrust scoring at every inference
                  Proof of ControlSHA-256 hash-chained WORM audit log, append-only
                  Mandatory HaltBinary HALT state, formally verified (TLA+, 4.78M
                  states, 0 counterexamples)
                  Contextual GuardrailsDistrustEngine L0–L4 (TRUSTED → MONITOR → WARN →
                  DEGRADE → HALT)
                  Key design principle
                  VAIG sits architecturally outside the model it monitors — it
                  
cannot be influenced, overridden, or manipulated by the system it
                  
validates. This is the same principle that makes Safety Instrumented
                  
Systems (IEC 61511) reliable in industrial process control.
                  Status
                  • Formally verified halt mechanism (TLA+ model-checked)
                  • WORM audit log producing legally defensible audit trails
                  • Validated on MedQA and LEDGAR benchmarks
                  • Designed for deployment on sovereign European infrastructure
                  We'd like to be listed as a compatible implementation alongside
                  
LangChain/CrewAI. Happy to contribute documentation or a reference
                  
integration guide.
                  — Njål Solland, VALO Research Group
                  https://github.com/nsolland/VAIG
                  
pip install vaig
                  Metadata
                  Metadata
                  Assignees
                  No one assigned
                    Labels
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                    No labels
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                    No type
                    Projects
                    No projects
                      Milestone
                      No milestone
                      Relationships
                      None yet
                      Development
                      No branches or pull requests
                      Issue actions
                      
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

                      Skip to content
                      VAIG (VALO AI Integrity Gateway) — ACS-compatible runtime governance layer, Apache 2.0 #233
                      Open
                      Open
                      VAIG (VALO AI Integrity Gateway) — ACS-compatible runtime governance layer, Apache 2.0#233
                      Description
                      @nsolland
                      nsolland
                      opened on May 30, 2026
                      Hi,
                      We're building VAIG — an open-source runtime governance layer for LLM
                      
inference, designed for EU AI Act Annex III compliance and
                      
insurance-grade auditability. Apache 2.0.
                      How VAIG maps to ACS
                      ACS principleVAIG
                      Runtime InterceptionProbabilistic distrust scoring at every inference
                      Proof of ControlSHA-256 hash-chained WORM audit log, append-only
                      Mandatory HaltBinary HALT state, formally verified (TLA+, 4.78M
                      states, 0 counterexamples)
                      Contextual GuardrailsDistrustEngine L0–L4 (TRUSTED → MONITOR → WARN →
                      DEGRADE → HALT)
                      Key design principle
                      VAIG sits architecturally outside the model it monitors — it
                      
cannot be influenced, overridden, or manipulated by the system it
                      
validates. This is the same principle that makes Safety Instrumented
                      
Systems (IEC 61511) reliable in industrial process control.
                      Status
                      • Formally verified halt mechanism (TLA+ model-checked)
                      • WORM audit log producing legally defensible audit trails
                      • Validated on MedQA and LEDGAR benchmarks
                      • Designed for deployment on sovereign European infrastructure
                      We'd like to be listed as a compatible implementation alongside
                      
LangChain/CrewAI. Happy to contribute documentation or a reference
                      
integration guide.
                      — Njål Solland, VALO Research Group
                      https://github.com/nsolland/VAIG
                      
pip install vaig
                      Metadata
                      Metadata
                      Assignees
                      No one assigned
                        Labels
                        No labels
                        No labels
                        Type
                        No type
                        Projects
                        No projects
                          Milestone
                          No milestone
                          Relationships
                          None yet
                          Development
                          No branches or pull requests
                          Issue actions
                          
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

                          Skip to content
                          VAIG (VALO AI Integrity Gateway) — ACS-compatible runtime governance layer, Apache 2.0 #233
                          Open
                          Open
                          VAIG (VALO AI Integrity Gateway) — ACS-compatible runtime governance layer, Apache 2.0#233
                          Description
                          @nsolland
                          nsolland
                          opened on May 30, 2026
                          Hi,
                          We're building VAIG — an open-source runtime governance layer for LLM
                          
inference, designed for EU AI Act Annex III compliance and
                          
insurance-grade auditability. Apache 2.0.
                          How VAIG maps to ACS
                          ACS principleVAIG
                          Runtime InterceptionProbabilistic distrust scoring at every inference
                          Proof of ControlSHA-256 hash-chained WORM audit log, append-only
                          Mandatory HaltBinary HALT state, formally verified (TLA+, 4.78M
                          states, 0 counterexamples)
                          Contextual GuardrailsDistrustEngine L0–L4 (TRUSTED → MONITOR → WARN →
                          DEGRADE → HALT)
                          Key design principle
                          VAIG sits architecturally outside the model it monitors — it
                          
cannot be influenced, overridden, or manipulated by the system it
                          
validates. This is the same principle that makes Safety Instrumented
                          
Systems (IEC 61511) reliable in industrial process control.
                          Status
                          • Formally verified halt mechanism (TLA+ model-checked)
                          • WORM audit log producing legally defensible audit trails
                          • Validated on MedQA and LEDGAR benchmarks
                          • Designed for deployment on sovereign European infrastructure
                          We'd like to be listed as a compatible implementation alongside
                          
LangChain/CrewAI. Happy to contribute documentation or a reference
                          
integration guide.
                          — Njål Solland, VALO Research Group
                          https://github.com/nsolland/VAIG
                          
pip install vaig
                          Metadata
                          Metadata
                          Assignees
                          No one assigned
                            Labels
                            No labels
                            No labels
                            Type
                            No type
                            Projects
                            No projects
                              Milestone
                              No milestone
                              Relationships
                              None yet
                              Development
                              No branches or pull requests
                              Issue actions
                              
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

                              Skip to content
                              VAIG (VALO AI Integrity Gateway) — ACS-compatible runtime governance layer, Apache 2.0 #233
                              Open
                              Open
                              VAIG (VALO AI Integrity Gateway) — ACS-compatible runtime governance layer, Apache 2.0#233
                              Description
                              @nsolland
                              nsolland
                              opened on May 30, 2026
                              Hi,
                              We're building VAIG — an open-source runtime governance layer for LLM
                              
inference, designed for EU AI Act Annex III compliance and
                              
insurance-grade auditability. Apache 2.0.
                              How VAIG maps to ACS
                              ACS principleVAIG
                              Runtime InterceptionProbabilistic distrust scoring at every inference
                              Proof of ControlSHA-256 hash-chained WORM audit log, append-only
                              Mandatory HaltBinary HALT state, formally verified (TLA+, 4.78M
                              states, 0 counterexamples)
                              Contextual GuardrailsDistrustEngine L0–L4 (TRUSTED → MONITOR → WARN →
                              DEGRADE → HALT)
                              Key design principle
                              VAIG sits architecturally outside the model it monitors — it
                              
cannot be influenced, overridden, or manipulated by the system it
                              
validates. This is the same principle that makes Safety Instrumented
                              
Systems (IEC 61511) reliable in industrial process control.
                              Status
                              • Formally verified halt mechanism (TLA+ model-checked)
                              • WORM audit log producing legally defensible audit trails
                              • Validated on MedQA and LEDGAR benchmarks
                              • Designed for deployment on sovereign European infrastructure
                              We'd like to be listed as a compatible implementation alongside
                              
LangChain/CrewAI. Happy to contribute documentation or a reference
                              
integration guide.
                              — Njål Solland, VALO Research Group
                              https://github.com/nsolland/VAIG
                              
pip install vaig
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