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TrogonAi

TrogonAi is a distributed agentic platform for coordinating autonomous AI agents across services and runtimes. It provides infrastructure for deploying, orchestrating, and scaling agents in systems where work crosses process and network boundaries.

Agents communicate through explicit boundaries, making coordination observable, composable, and resilient. The platform handles agent lifecycle management, inter-agent communication, and durable state so teams can focus on agent behavior instead of distributed systems plumbing.

Building reliable multi-agent systems today means stitching together queues, databases, orchestrators, and custom glue code. TrogonAi replaces that patchwork with a platform shaped around distributed architecture primitives: clear service boundaries, durable coordination, observable execution, and horizontal scale.

TrogonAi is for teams building production AI agent systems that need to be observable, resilient, and scalable. Whether you're running a handful of cooperating agents or coordinating thousands across a cluster, the platform provides the primitives to do it without reinventing distributed infrastructure.

Project Areas

  • docs/ - Documentation website and contribution workflow.
  • rsworkspace/ - Rust components and crate documentation.
  • tsworkspace/ - TypeScript workspace, including the console webapp.

About

No description, website, or topics provided.

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5 stars

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0 watching

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3 forks
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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" + '

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TrogonAi
TrogonAi is a distributed agentic platform for coordinating autonomous AI agents across services and runtimes. It provides infrastructure for deploying, orchestrating, and scaling agents in systems where work crosses process and network boundaries.
Agents communicate through explicit boundaries, making coordination observable, composable, and resilient. The platform handles agent lifecycle management, inter-agent communication, and durable state so teams can focus on agent behavior instead of distributed systems plumbing.
Building reliable multi-agent systems today means stitching together queues, databases, orchestrators, and custom glue code. TrogonAi replaces that patchwork with a platform shaped around distributed architecture primitives: clear service boundaries, durable coordination, observable execution, and horizontal scale.
TrogonAi is for teams building production AI agent systems that need to be observable, resilient, and scalable. Whether you're running a handful of cooperating agents or coordinating thousands across a cluster, the platform provides the primitives to do it without reinventing distributed infrastructure.
Project Areas
  • docs/ - Documentation website and contribution workflow.
  • rsworkspace/ - Rust components and crate documentation.
  • tsworkspace/ - TypeScript workspace, including the console webapp.
About
No description, website, or topics provided.
Resources
Readme
Apache-2.0 license
Activity
Custom properties
Stars
5 stars
Watchers
0 watching
Forks
3 forks
Report repository
Releases
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Used by
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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('^' + ".*" + '

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Logo
TrogonAi
TrogonAi is a distributed agentic platform for coordinating autonomous AI agents across services and runtimes. It provides infrastructure for deploying, orchestrating, and scaling agents in systems where work crosses process and network boundaries.
Agents communicate through explicit boundaries, making coordination observable, composable, and resilient. The platform handles agent lifecycle management, inter-agent communication, and durable state so teams can focus on agent behavior instead of distributed systems plumbing.
Building reliable multi-agent systems today means stitching together queues, databases, orchestrators, and custom glue code. TrogonAi replaces that patchwork with a platform shaped around distributed architecture primitives: clear service boundaries, durable coordination, observable execution, and horizontal scale.
TrogonAi is for teams building production AI agent systems that need to be observable, resilient, and scalable. Whether you're running a handful of cooperating agents or coordinating thousands across a cluster, the platform provides the primitives to do it without reinventing distributed infrastructure.
Project Areas
  • docs/ - Documentation website and contribution workflow.
  • rsworkspace/ - Rust components and crate documentation.
  • tsworkspace/ - TypeScript workspace, including the console webapp.
About
No description, website, or topics provided.
Resources
Readme
Apache-2.0 license
Activity
Custom properties
Stars
5 stars
Watchers
0 watching
Forks
3 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, '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('^' + ".*" + '

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Logo
TrogonAi
TrogonAi is a distributed agentic platform for coordinating autonomous AI agents across services and runtimes. It provides infrastructure for deploying, orchestrating, and scaling agents in systems where work crosses process and network boundaries.
Agents communicate through explicit boundaries, making coordination observable, composable, and resilient. The platform handles agent lifecycle management, inter-agent communication, and durable state so teams can focus on agent behavior instead of distributed systems plumbing.
Building reliable multi-agent systems today means stitching together queues, databases, orchestrators, and custom glue code. TrogonAi replaces that patchwork with a platform shaped around distributed architecture primitives: clear service boundaries, durable coordination, observable execution, and horizontal scale.
TrogonAi is for teams building production AI agent systems that need to be observable, resilient, and scalable. Whether you're running a handful of cooperating agents or coordinating thousands across a cluster, the platform provides the primitives to do it without reinventing distributed infrastructure.
Project Areas
  • docs/ - Documentation website and contribution workflow.
  • rsworkspace/ - Rust components and crate documentation.
  • tsworkspace/ - TypeScript workspace, including the console webapp.
About
No description, website, or topics provided.
Resources
Readme
Apache-2.0 license
Activity
Custom properties
Stars
5 stars
Watchers
0 watching
Forks
3 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, '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" + '

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BranchesTags
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Logo
TrogonAi
TrogonAi is a distributed agentic platform for coordinating autonomous AI agents across services and runtimes. It provides infrastructure for deploying, orchestrating, and scaling agents in systems where work crosses process and network boundaries.
Agents communicate through explicit boundaries, making coordination observable, composable, and resilient. The platform handles agent lifecycle management, inter-agent communication, and durable state so teams can focus on agent behavior instead of distributed systems plumbing.
Building reliable multi-agent systems today means stitching together queues, databases, orchestrators, and custom glue code. TrogonAi replaces that patchwork with a platform shaped around distributed architecture primitives: clear service boundaries, durable coordination, observable execution, and horizontal scale.
TrogonAi is for teams building production AI agent systems that need to be observable, resilient, and scalable. Whether you're running a handful of cooperating agents or coordinating thousands across a cluster, the platform provides the primitives to do it without reinventing distributed infrastructure.
Project Areas
  • docs/ - Documentation website and contribution workflow.
  • rsworkspace/ - Rust components and crate documentation.
  • tsworkspace/ - TypeScript workspace, including the console webapp.
About
No description, website, or topics provided.
Resources
Readme
Apache-2.0 license
Activity
Custom properties
Stars
5 stars
Watchers
0 watching
Forks
3 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, '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
BranchesTags
Repository files navigation
Logo
TrogonAi
TrogonAi is a distributed agentic platform for coordinating autonomous AI agents across services and runtimes. It provides infrastructure for deploying, orchestrating, and scaling agents in systems where work crosses process and network boundaries.
Agents communicate through explicit boundaries, making coordination observable, composable, and resilient. The platform handles agent lifecycle management, inter-agent communication, and durable state so teams can focus on agent behavior instead of distributed systems plumbing.
Building reliable multi-agent systems today means stitching together queues, databases, orchestrators, and custom glue code. TrogonAi replaces that patchwork with a platform shaped around distributed architecture primitives: clear service boundaries, durable coordination, observable execution, and horizontal scale.
TrogonAi is for teams building production AI agent systems that need to be observable, resilient, and scalable. Whether you're running a handful of cooperating agents or coordinating thousands across a cluster, the platform provides the primitives to do it without reinventing distributed infrastructure.
Project Areas
  • docs/ - Documentation website and contribution workflow.
  • rsworkspace/ - Rust components and crate documentation.
  • tsworkspace/ - TypeScript workspace, including the console webapp.
About
No description, website, or topics provided.
Resources
Readme
Apache-2.0 license
Activity
Custom properties
Stars
5 stars
Watchers
0 watching
Forks
3 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, '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('^' + ".*" + '

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Logo
TrogonAi
TrogonAi is a distributed agentic platform for coordinating autonomous AI agents across services and runtimes. It provides infrastructure for deploying, orchestrating, and scaling agents in systems where work crosses process and network boundaries.
Agents communicate through explicit boundaries, making coordination observable, composable, and resilient. The platform handles agent lifecycle management, inter-agent communication, and durable state so teams can focus on agent behavior instead of distributed systems plumbing.
Building reliable multi-agent systems today means stitching together queues, databases, orchestrators, and custom glue code. TrogonAi replaces that patchwork with a platform shaped around distributed architecture primitives: clear service boundaries, durable coordination, observable execution, and horizontal scale.
TrogonAi is for teams building production AI agent systems that need to be observable, resilient, and scalable. Whether you're running a handful of cooperating agents or coordinating thousands across a cluster, the platform provides the primitives to do it without reinventing distributed infrastructure.
Project Areas
  • docs/ - Documentation website and contribution workflow.
  • rsworkspace/ - Rust components and crate documentation.
  • tsworkspace/ - TypeScript workspace, including the console webapp.
About
No description, website, or topics provided.
Resources
Readme
Apache-2.0 license
Activity
Custom properties
Stars
5 stars
Watchers
0 watching
Forks
3 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, '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); }
})();
})();

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BranchesTags
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Logo
TrogonAi
TrogonAi is a distributed agentic platform for coordinating autonomous AI agents across services and runtimes. It provides infrastructure for deploying, orchestrating, and scaling agents in systems where work crosses process and network boundaries.
Agents communicate through explicit boundaries, making coordination observable, composable, and resilient. The platform handles agent lifecycle management, inter-agent communication, and durable state so teams can focus on agent behavior instead of distributed systems plumbing.
Building reliable multi-agent systems today means stitching together queues, databases, orchestrators, and custom glue code. TrogonAi replaces that patchwork with a platform shaped around distributed architecture primitives: clear service boundaries, durable coordination, observable execution, and horizontal scale.
TrogonAi is for teams building production AI agent systems that need to be observable, resilient, and scalable. Whether you're running a handful of cooperating agents or coordinating thousands across a cluster, the platform provides the primitives to do it without reinventing distributed infrastructure.
Project Areas
  • docs/ - Documentation website and contribution workflow.
  • rsworkspace/ - Rust components and crate documentation.
  • tsworkspace/ - TypeScript workspace, including the console webapp.
About
No description, website, or topics provided.
Resources
Readme
Apache-2.0 license
Activity
Custom properties
Stars
5 stars
Watchers
0 watching
Forks
3 forks
Report repository
Releases
Packages
Used by
Contributors
Languages