@AI-at-Work

AI at Work

README.md

🤖 AI-at-Work

AI-at-Work Banner

AI-at-Work is an organization dedicated to simplifying the development of AI agents through a comprehensive chat management system. Our suite of services provides developers with the tools they need to focus on implementing AI agents without getting bogged down in infrastructure management.

🚀 Our Vision

Streamlining AI agent development by tackling the complexities of:

  • Chat session management
  • Summary generation
  • File handling
  • Historical data retrieval
  • Agent Communication Endpoint

🛠️ Key Components

Our ecosystem consists of four powerful, interconnected services:

ServiceDescriptionRepository
📡 Chat-BackendCore service managing chat sessionsChat-Backend
🧠 Chat-AIAI agent for processing inputs and generating responsesChat-AI
💻 Chat-UIUser-friendly client-side interfaceChat-UI
🔄 Sync-BackendEnsures data consistency across storage systemsSync-Backend

🏗️ System Architecture

graph TD
A[Chat-UI<br>Client Side] <--> |websocket| B[Chat-Backend]
B <--> |gRPC| C[Chat-AI<br>AI Agent]
B <--> D[Redis]
B <--> E[PostgreSQL]
F[Sync-Backend<br>Service] <--> D
F <--> E
Loading
  • Redis: Fast caching and real-time data access
  • PostgreSQL: Robust persistent data storage
  • Websockets: Seamless real-time client-server communication
  • gRPC: Efficient Chat-Backend to Chat-AI communication

✨ Features

  • 🤖 Automated chat session management
  • 📊 Intelligent chat summary generation
  • 📁 Seamless file handling capabilities
  • 🕰️ Effortless retrieval of historical chat data
  • ⚡ Real-time communication
  • 📈 Scalable microservices architecture
  • 🤖 Support for Ollama
  • 📁 Support for RAG with RAPTOR + ColBERT V2

🚀 Getting Started

Follow our video tutorial for a step-by-step guide.

  1. Clone the repositories: 
    git clone https://github.com/AI-at-Work/Chat-Backend.git
git clone https://github.com/AI-at-Work/Chat-AI-Service.git
git clone https://github.com/AI-at-Work/Chat-UI.git
git clone https://github.com/AI-at-Work/Sync-Backend.git
  2. Follow the setup instructions in each repository's README.

🤝 Contributing

We welcome contributions from the community! If you're interested in improving our services or adding new features, please check out our individual service repositories for contribution guidelines.

Empowering the future of AI, one chat at a time.

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  1. .github.githubPublic

  2. Chat-UIChat-UIPublic

    A Simple Chat User Interface

    JavaScript 1

  3. Chat-AI-ServiceChat-AI-ServicePublic

    Service to provide AI Functionality

    Python 1

  4. Chat-BackendChat-BackendPublic

    A Back-end for Chat Application

    Go 1

  5. Sync-BackendSync-BackendPublic

    A Synchronization worker for back-end

    Go 1

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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
@AI-at-Work

AI at Work

README.md
🤖 AI-at-Work
AI-at-Work Banner
AI-at-Work is an organization dedicated to simplifying the development of AI agents through a comprehensive chat management system. Our suite of services provides developers with the tools they need to focus on implementing AI agents without getting bogged down in infrastructure management.
🚀 Our Vision
Streamlining AI agent development by tackling the complexities of:
  • Chat session management
  • Summary generation
  • File handling
  • Historical data retrieval
  • Agent Communication Endpoint
🛠️ Key Components
Our ecosystem consists of four powerful, interconnected services:
ServiceDescriptionRepository
📡 Chat-BackendCore service managing chat sessionsChat-Backend
🧠 Chat-AIAI agent for processing inputs and generating responsesChat-AI
💻 Chat-UIUser-friendly client-side interfaceChat-UI
🔄 Sync-BackendEnsures data consistency across storage systemsSync-Backend
🏗️ System Architecture
graph TD
A[Chat-UI<br>Client Side] <--> |websocket| B[Chat-Backend]
B <--> |gRPC| C[Chat-AI<br>AI Agent]
B <--> D[Redis]
B <--> E[PostgreSQL]
F[Sync-Backend<br>Service] <--> D
F <--> E

Loading
  • Redis: Fast caching and real-time data access
  • PostgreSQL: Robust persistent data storage
  • Websockets: Seamless real-time client-server communication
  • gRPC: Efficient Chat-Backend to Chat-AI communication
✨ Features
  • 🤖 Automated chat session management
  • 📊 Intelligent chat summary generation
  • 📁 Seamless file handling capabilities
  • 🕰️ Effortless retrieval of historical chat data
  • ⚡ Real-time communication
  • 📈 Scalable microservices architecture
  • 🤖 Support for Ollama
  • 📁 Support for RAG with RAPTOR + ColBERT V2
🚀 Getting Started
Follow our video tutorial for a step-by-step guide.
  1. Clone the repositories:

    git clone https://github.com/AI-at-Work/Chat-Backend.git
git clone https://github.com/AI-at-Work/Chat-AI-Service.git
git clone https://github.com/AI-at-Work/Chat-UI.git
git clone https://github.com/AI-at-Work/Sync-Backend.git
  2. Follow the setup instructions in each repository's README.
🤝 Contributing
We welcome contributions from the community! If you're interested in improving our services or adding new features, please check out our individual service repositories for contribution guidelines.
Empowering the future of AI, one chat at a time.
Visitor Badge

Pinned
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  1. .github.githubPublic
  2. Chat-UIChat-UIPublic
    
A Simple Chat User Interface

    JavaScript
1

  3. Chat-AI-ServiceChat-AI-ServicePublic
    
Service to provide AI Functionality

    Python
1

  4. Chat-BackendChat-BackendPublic
    
A Back-end for Chat Application 
    Go
1

  5. Sync-BackendSync-BackendPublic
    
A Synchronization worker for back-end 
    Go
1


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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
@AI-at-Work

AI at Work

README.md
🤖 AI-at-Work
AI-at-Work Banner
AI-at-Work is an organization dedicated to simplifying the development of AI agents through a comprehensive chat management system. Our suite of services provides developers with the tools they need to focus on implementing AI agents without getting bogged down in infrastructure management.
🚀 Our Vision
Streamlining AI agent development by tackling the complexities of:
  • Chat session management
  • Summary generation
  • File handling
  • Historical data retrieval
  • Agent Communication Endpoint
🛠️ Key Components
Our ecosystem consists of four powerful, interconnected services:
ServiceDescriptionRepository
📡 Chat-BackendCore service managing chat sessionsChat-Backend
🧠 Chat-AIAI agent for processing inputs and generating responsesChat-AI
💻 Chat-UIUser-friendly client-side interfaceChat-UI
🔄 Sync-BackendEnsures data consistency across storage systemsSync-Backend
🏗️ System Architecture
graph TD
A[Chat-UI<br>Client Side] <--> |websocket| B[Chat-Backend]
B <--> |gRPC| C[Chat-AI<br>AI Agent]
B <--> D[Redis]
B <--> E[PostgreSQL]
F[Sync-Backend<br>Service] <--> D
F <--> E

Loading
  • Redis: Fast caching and real-time data access
  • PostgreSQL: Robust persistent data storage
  • Websockets: Seamless real-time client-server communication
  • gRPC: Efficient Chat-Backend to Chat-AI communication
✨ Features
  • 🤖 Automated chat session management
  • 📊 Intelligent chat summary generation
  • 📁 Seamless file handling capabilities
  • 🕰️ Effortless retrieval of historical chat data
  • ⚡ Real-time communication
  • 📈 Scalable microservices architecture
  • 🤖 Support for Ollama
  • 📁 Support for RAG with RAPTOR + ColBERT V2
🚀 Getting Started
Follow our video tutorial for a step-by-step guide.
  1. Clone the repositories:

    git clone https://github.com/AI-at-Work/Chat-Backend.git
git clone https://github.com/AI-at-Work/Chat-AI-Service.git
git clone https://github.com/AI-at-Work/Chat-UI.git
git clone https://github.com/AI-at-Work/Sync-Backend.git
  2. Follow the setup instructions in each repository's README.
🤝 Contributing
We welcome contributions from the community! If you're interested in improving our services or adding new features, please check out our individual service repositories for contribution guidelines.
Empowering the future of AI, one chat at a time.
Visitor Badge

Pinned
Loading
  1. .github.githubPublic
  2. Chat-UIChat-UIPublic
    
A Simple Chat User Interface

    JavaScript
1

  3. Chat-AI-ServiceChat-AI-ServicePublic
    
Service to provide AI Functionality

    Python
1

  4. Chat-BackendChat-BackendPublic
    
A Back-end for Chat Application 
    Go
1

  5. Sync-BackendSync-BackendPublic
    
A Synchronization worker for back-end 
    Go
1


Repositories

Showing 6 of 6 repositories
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, '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
@AI-at-Work

AI at Work

README.md
🤖 AI-at-Work
AI-at-Work Banner
AI-at-Work is an organization dedicated to simplifying the development of AI agents through a comprehensive chat management system. Our suite of services provides developers with the tools they need to focus on implementing AI agents without getting bogged down in infrastructure management.
🚀 Our Vision
Streamlining AI agent development by tackling the complexities of:
  • Chat session management
  • Summary generation
  • File handling
  • Historical data retrieval
  • Agent Communication Endpoint
🛠️ Key Components
Our ecosystem consists of four powerful, interconnected services:
ServiceDescriptionRepository
📡 Chat-BackendCore service managing chat sessionsChat-Backend
🧠 Chat-AIAI agent for processing inputs and generating responsesChat-AI
💻 Chat-UIUser-friendly client-side interfaceChat-UI
🔄 Sync-BackendEnsures data consistency across storage systemsSync-Backend
🏗️ System Architecture
graph TD
A[Chat-UI<br>Client Side] <--> |websocket| B[Chat-Backend]
B <--> |gRPC| C[Chat-AI<br>AI Agent]
B <--> D[Redis]
B <--> E[PostgreSQL]
F[Sync-Backend<br>Service] <--> D
F <--> E

Loading
  • Redis: Fast caching and real-time data access
  • PostgreSQL: Robust persistent data storage
  • Websockets: Seamless real-time client-server communication
  • gRPC: Efficient Chat-Backend to Chat-AI communication
✨ Features
  • 🤖 Automated chat session management
  • 📊 Intelligent chat summary generation
  • 📁 Seamless file handling capabilities
  • 🕰️ Effortless retrieval of historical chat data
  • ⚡ Real-time communication
  • 📈 Scalable microservices architecture
  • 🤖 Support for Ollama
  • 📁 Support for RAG with RAPTOR + ColBERT V2
🚀 Getting Started
Follow our video tutorial for a step-by-step guide.
  1. Clone the repositories:

    git clone https://github.com/AI-at-Work/Chat-Backend.git
git clone https://github.com/AI-at-Work/Chat-AI-Service.git
git clone https://github.com/AI-at-Work/Chat-UI.git
git clone https://github.com/AI-at-Work/Sync-Backend.git
  2. Follow the setup instructions in each repository's README.
🤝 Contributing
We welcome contributions from the community! If you're interested in improving our services or adding new features, please check out our individual service repositories for contribution guidelines.
Empowering the future of AI, one chat at a time.
Visitor Badge

Pinned
Loading
  1. .github.githubPublic
  2. Chat-UIChat-UIPublic
    
A Simple Chat User Interface

    JavaScript
1

  3. Chat-AI-ServiceChat-AI-ServicePublic
    
Service to provide AI Functionality

    Python
1

  4. Chat-BackendChat-BackendPublic
    
A Back-end for Chat Application 
    Go
1

  5. Sync-BackendSync-BackendPublic
    
A Synchronization worker for back-end 
    Go
1


Repositories

Showing 6 of 6 repositories
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, '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
@AI-at-Work

AI at Work

README.md
🤖 AI-at-Work
AI-at-Work Banner
AI-at-Work is an organization dedicated to simplifying the development of AI agents through a comprehensive chat management system. Our suite of services provides developers with the tools they need to focus on implementing AI agents without getting bogged down in infrastructure management.
🚀 Our Vision
Streamlining AI agent development by tackling the complexities of:
  • Chat session management
  • Summary generation
  • File handling
  • Historical data retrieval
  • Agent Communication Endpoint
🛠️ Key Components
Our ecosystem consists of four powerful, interconnected services:
ServiceDescriptionRepository
📡 Chat-BackendCore service managing chat sessionsChat-Backend
🧠 Chat-AIAI agent for processing inputs and generating responsesChat-AI
💻 Chat-UIUser-friendly client-side interfaceChat-UI
🔄 Sync-BackendEnsures data consistency across storage systemsSync-Backend
🏗️ System Architecture
graph TD
A[Chat-UI<br>Client Side] <--> |websocket| B[Chat-Backend]
B <--> |gRPC| C[Chat-AI<br>AI Agent]
B <--> D[Redis]
B <--> E[PostgreSQL]
F[Sync-Backend<br>Service] <--> D
F <--> E

Loading
  • Redis: Fast caching and real-time data access
  • PostgreSQL: Robust persistent data storage
  • Websockets: Seamless real-time client-server communication
  • gRPC: Efficient Chat-Backend to Chat-AI communication
✨ Features
  • 🤖 Automated chat session management
  • 📊 Intelligent chat summary generation
  • 📁 Seamless file handling capabilities
  • 🕰️ Effortless retrieval of historical chat data
  • ⚡ Real-time communication
  • 📈 Scalable microservices architecture
  • 🤖 Support for Ollama
  • 📁 Support for RAG with RAPTOR + ColBERT V2
🚀 Getting Started
Follow our video tutorial for a step-by-step guide.
  1. Clone the repositories:

    git clone https://github.com/AI-at-Work/Chat-Backend.git
git clone https://github.com/AI-at-Work/Chat-AI-Service.git
git clone https://github.com/AI-at-Work/Chat-UI.git
git clone https://github.com/AI-at-Work/Sync-Backend.git
  2. Follow the setup instructions in each repository's README.
🤝 Contributing
We welcome contributions from the community! If you're interested in improving our services or adding new features, please check out our individual service repositories for contribution guidelines.
Empowering the future of AI, one chat at a time.
Visitor Badge

Pinned
Loading
  1. .github.githubPublic
  2. Chat-UIChat-UIPublic
    
A Simple Chat User Interface

    JavaScript
1

  3. Chat-AI-ServiceChat-AI-ServicePublic
    
Service to provide AI Functionality

    Python
1

  4. Chat-BackendChat-BackendPublic
    
A Back-end for Chat Application 
    Go
1

  5. Sync-BackendSync-BackendPublic
    
A Synchronization worker for back-end 
    Go
1


Repositories

Showing 6 of 6 repositories
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, '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
@AI-at-Work

AI at Work

README.md
🤖 AI-at-Work
AI-at-Work Banner
AI-at-Work is an organization dedicated to simplifying the development of AI agents through a comprehensive chat management system. Our suite of services provides developers with the tools they need to focus on implementing AI agents without getting bogged down in infrastructure management.
🚀 Our Vision
Streamlining AI agent development by tackling the complexities of:
  • Chat session management
  • Summary generation
  • File handling
  • Historical data retrieval
  • Agent Communication Endpoint
🛠️ Key Components
Our ecosystem consists of four powerful, interconnected services:
ServiceDescriptionRepository
📡 Chat-BackendCore service managing chat sessionsChat-Backend
🧠 Chat-AIAI agent for processing inputs and generating responsesChat-AI
💻 Chat-UIUser-friendly client-side interfaceChat-UI
🔄 Sync-BackendEnsures data consistency across storage systemsSync-Backend
🏗️ System Architecture
graph TD
A[Chat-UI<br>Client Side] <--> |websocket| B[Chat-Backend]
B <--> |gRPC| C[Chat-AI<br>AI Agent]
B <--> D[Redis]
B <--> E[PostgreSQL]
F[Sync-Backend<br>Service] <--> D
F <--> E

Loading
  • Redis: Fast caching and real-time data access
  • PostgreSQL: Robust persistent data storage
  • Websockets: Seamless real-time client-server communication
  • gRPC: Efficient Chat-Backend to Chat-AI communication
✨ Features
  • 🤖 Automated chat session management
  • 📊 Intelligent chat summary generation
  • 📁 Seamless file handling capabilities
  • 🕰️ Effortless retrieval of historical chat data
  • ⚡ Real-time communication
  • 📈 Scalable microservices architecture
  • 🤖 Support for Ollama
  • 📁 Support for RAG with RAPTOR + ColBERT V2
🚀 Getting Started
Follow our video tutorial for a step-by-step guide.
  1. Clone the repositories:

    git clone https://github.com/AI-at-Work/Chat-Backend.git
git clone https://github.com/AI-at-Work/Chat-AI-Service.git
git clone https://github.com/AI-at-Work/Chat-UI.git
git clone https://github.com/AI-at-Work/Sync-Backend.git
  2. Follow the setup instructions in each repository's README.
🤝 Contributing
We welcome contributions from the community! If you're interested in improving our services or adding new features, please check out our individual service repositories for contribution guidelines.
Empowering the future of AI, one chat at a time.
Visitor Badge

Pinned
Loading
  1. .github.githubPublic
  2. Chat-UIChat-UIPublic
    
A Simple Chat User Interface

    JavaScript
1

  3. Chat-AI-ServiceChat-AI-ServicePublic
    
Service to provide AI Functionality

    Python
1

  4. Chat-BackendChat-BackendPublic
    
A Back-end for Chat Application 
    Go
1

  5. Sync-BackendSync-BackendPublic
    
A Synchronization worker for back-end 
    Go
1


Repositories

Showing 6 of 6 repositories
Top languages
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, '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
@AI-at-Work

AI at Work

README.md
🤖 AI-at-Work
AI-at-Work Banner
AI-at-Work is an organization dedicated to simplifying the development of AI agents through a comprehensive chat management system. Our suite of services provides developers with the tools they need to focus on implementing AI agents without getting bogged down in infrastructure management.
🚀 Our Vision
Streamlining AI agent development by tackling the complexities of:
  • Chat session management
  • Summary generation
  • File handling
  • Historical data retrieval
  • Agent Communication Endpoint
🛠️ Key Components
Our ecosystem consists of four powerful, interconnected services:
ServiceDescriptionRepository
📡 Chat-BackendCore service managing chat sessionsChat-Backend
🧠 Chat-AIAI agent for processing inputs and generating responsesChat-AI
💻 Chat-UIUser-friendly client-side interfaceChat-UI
🔄 Sync-BackendEnsures data consistency across storage systemsSync-Backend
🏗️ System Architecture
graph TD
A[Chat-UI<br>Client Side] <--> |websocket| B[Chat-Backend]
B <--> |gRPC| C[Chat-AI<br>AI Agent]
B <--> D[Redis]
B <--> E[PostgreSQL]
F[Sync-Backend<br>Service] <--> D
F <--> E

Loading
  • Redis: Fast caching and real-time data access
  • PostgreSQL: Robust persistent data storage
  • Websockets: Seamless real-time client-server communication
  • gRPC: Efficient Chat-Backend to Chat-AI communication
✨ Features
  • 🤖 Automated chat session management
  • 📊 Intelligent chat summary generation
  • 📁 Seamless file handling capabilities
  • 🕰️ Effortless retrieval of historical chat data
  • ⚡ Real-time communication
  • 📈 Scalable microservices architecture
  • 🤖 Support for Ollama
  • 📁 Support for RAG with RAPTOR + ColBERT V2
🚀 Getting Started
Follow our video tutorial for a step-by-step guide.
  1. Clone the repositories:

    git clone https://github.com/AI-at-Work/Chat-Backend.git
git clone https://github.com/AI-at-Work/Chat-AI-Service.git
git clone https://github.com/AI-at-Work/Chat-UI.git
git clone https://github.com/AI-at-Work/Sync-Backend.git
  2. Follow the setup instructions in each repository's README.
🤝 Contributing
We welcome contributions from the community! If you're interested in improving our services or adding new features, please check out our individual service repositories for contribution guidelines.
Empowering the future of AI, one chat at a time.
Visitor Badge

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  1. .github.githubPublic
  2. Chat-UIChat-UIPublic
    
A Simple Chat User Interface

    JavaScript
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  3. Chat-AI-ServiceChat-AI-ServicePublic
    
Service to provide AI Functionality

    Python
1

  4. Chat-BackendChat-BackendPublic
    
A Back-end for Chat Application 
    Go
1

  5. Sync-BackendSync-BackendPublic
    
A Synchronization worker for back-end 
    Go
1


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, '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
@AI-at-Work

AI at Work

README.md
🤖 AI-at-Work
AI-at-Work Banner
AI-at-Work is an organization dedicated to simplifying the development of AI agents through a comprehensive chat management system. Our suite of services provides developers with the tools they need to focus on implementing AI agents without getting bogged down in infrastructure management.
🚀 Our Vision
Streamlining AI agent development by tackling the complexities of:
  • Chat session management
  • Summary generation
  • File handling
  • Historical data retrieval
  • Agent Communication Endpoint
🛠️ Key Components
Our ecosystem consists of four powerful, interconnected services:
ServiceDescriptionRepository
📡 Chat-BackendCore service managing chat sessionsChat-Backend
🧠 Chat-AIAI agent for processing inputs and generating responsesChat-AI
💻 Chat-UIUser-friendly client-side interfaceChat-UI
🔄 Sync-BackendEnsures data consistency across storage systemsSync-Backend
🏗️ System Architecture
graph TD
A[Chat-UI<br>Client Side] <--> |websocket| B[Chat-Backend]
B <--> |gRPC| C[Chat-AI<br>AI Agent]
B <--> D[Redis]
B <--> E[PostgreSQL]
F[Sync-Backend<br>Service] <--> D
F <--> E

Loading
  • Redis: Fast caching and real-time data access
  • PostgreSQL: Robust persistent data storage
  • Websockets: Seamless real-time client-server communication
  • gRPC: Efficient Chat-Backend to Chat-AI communication
✨ Features
  • 🤖 Automated chat session management
  • 📊 Intelligent chat summary generation
  • 📁 Seamless file handling capabilities
  • 🕰️ Effortless retrieval of historical chat data
  • ⚡ Real-time communication
  • 📈 Scalable microservices architecture
  • 🤖 Support for Ollama
  • 📁 Support for RAG with RAPTOR + ColBERT V2
🚀 Getting Started
Follow our video tutorial for a step-by-step guide.
  1. Clone the repositories:

    git clone https://github.com/AI-at-Work/Chat-Backend.git
git clone https://github.com/AI-at-Work/Chat-AI-Service.git
git clone https://github.com/AI-at-Work/Chat-UI.git
git clone https://github.com/AI-at-Work/Sync-Backend.git
  2. Follow the setup instructions in each repository's README.
🤝 Contributing
We welcome contributions from the community! If you're interested in improving our services or adding new features, please check out our individual service repositories for contribution guidelines.
Empowering the future of AI, one chat at a time.
Visitor Badge

Pinned
Loading
  1. .github.githubPublic
  2. Chat-UIChat-UIPublic
    
A Simple Chat User Interface

    JavaScript
1

  3. Chat-AI-ServiceChat-AI-ServicePublic
    
Service to provide AI Functionality

    Python
1

  4. Chat-BackendChat-BackendPublic
    
A Back-end for Chat Application 
    Go
1

  5. Sync-BackendSync-BackendPublic
    
A Synchronization worker for back-end 
    Go
1


Repositories

Showing 6 of 6 repositories
Top languages
Loading…
Most used topics
Loading…