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Agentic Edge Functions

Welcome to the Agentic Edge Functions repository by the Agentics Foundation. This open-source project serves as the technological foundation for distributed autonomous AI agents operating at the edge of networks.

What are Agentic Edge Functions?

Agentic Edge Functions combine serverless edge computing with autonomous AI capabilities. Running at the network edge, these functions enable AI agents to:

  • Operate independently near users for lower latency
  • Communicate securely with other agents and systems
  • Access controlled resources via defined interfaces
  • Scale dynamically based on workload requirements

This infrastructure powers the Agentic Dashboard and Agentic Inbox systems at agentics.org/dashboard and is being actively developed in the open, welcoming community contributions.

♾️ Agentic MCP

A powerful Model Context Protocol server with advanced AI capabilities by the Agentics Foundation. Built on the OpenAI Agents API/SDK using TypeScript, this package implements a comprehensive MCP server that enhances AI agents with sophisticated tools and orchestration capabilities:

🌟 Core Capabilities

  • 🔍 Web Search Research: Generate comprehensive reports with up-to-date information from the web using gpt-4o-search-preview
  • 📝 Smart Summarization: Create concise, well-structured summaries with key points and citations
  • 🗄️ Database Integration: Query and analyze data from Supabase databases with structured results
  • 👥 Customer Support: Handle inquiries and provide assistance with natural language understanding
  • 🔄 Agent Orchestration: Seamlessly transfer control between specialized agents based on query needs
  • 🔀 Multi-Agent Workflows: Create complex agent networks with parent-child relationships and shared context
  • 🧠 Context Management: Sophisticated state tracking with memory, resources, and workflow management
  • 🛡️ Guardrails System: Configurable input and output validation to ensure safe and appropriate responses
  • 📊 Tracing & Debugging: Comprehensive logging and debugging capabilities for development
  • 🔌 Edge Function Deployment: Ready for deployment as Supabase Edge Functions
  • 🔄 Streaming Support: Real-time streaming responses for interactive applications

🚀 Installation

# Install globally
npm install -g @agentics.org/agentic-mcp
# Or as a project dependency
npm install @agentics.org/agentic-mcp

Overview

This repository contains edge functions implementing various patterns for autonomous agent deployment and operation. Built on Supabase's serverless infrastructure and Deno runtime, these functions enable scalable, efficient, and globally distributed agent capabilities.

Additionally, it includes the scripts/agentic-mcp/ package, a powerful Model Context Protocol server that enhances AI agents with advanced tools and orchestration capabilities.

What are Edge Functions?

Edge functions are serverless functions running at network edges, providing low-latency, high-availability compute without server management. Supabase Edge Functions use Deno, a modern secure JavaScript/TypeScript runtime with built-in security features.

Why Deno?

Deno is a modern, secure runtime for JavaScript and TypeScript that provides several advantages:

  • Security-first design: Explicit permissions for file, network, and environment access
  • Built-in TypeScript support: No configuration needed
  • Modern JavaScript: Support for ES modules, top-level await, and more
  • Standard library: Comprehensive, reviewed standard modules
  • Single executable: No dependency management headaches

Function Categories

Our edge functions fall into several categories:

Agent Functions

Management Functions

Communication Functions

Integration Functions

Utility Functions

Key Features

  • Real-time Communication: Agents can communicate in real-time using Supabase's real-time channels
  • Database Integration: Seamless integration with Supabase PostgreSQL database
  • Secure Secrets Management: Environment variables for secure credential management
  • Scalable Architecture: Functions scale automatically with demand
  • Global Distribution: Deploy functions globally for low-latency responses

Getting Started

To get started with these edge functions:

  1. Clone this repository
  2. Set up a Supabase project
  3. Configure environment variables
  4. Deploy functions to your Supabase project

For beginners, we recommend following our step-by-step tutorials to learn how to create, deploy, and test edge functions. For detailed instructions, see the Getting Started Guide.

Documentation

Comprehensive documentation is available in the docs directory:

Tutorials

Contributing

Contributions are welcome! Please see our Contributing Guidelines for more information.

License

This project is licensed under the terms of the license included in the repository.


Created by rUv, Agentics Foundation founder.

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
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})();
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try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - agenticsorg/edge-agents: serverless agents · GitHub
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Agentic Edge Functions

Welcome to the Agentic Edge Functions repository by the Agentics Foundation. This open-source project serves as the technological foundation for distributed autonomous AI agents operating at the edge of networks.

What are Agentic Edge Functions?

Agentic Edge Functions combine serverless edge computing with autonomous AI capabilities. Running at the network edge, these functions enable AI agents to:

  • Operate independently near users for lower latency
  • Communicate securely with other agents and systems
  • Access controlled resources via defined interfaces
  • Scale dynamically based on workload requirements

This infrastructure powers the Agentic Dashboard and Agentic Inbox systems at agentics.org/dashboard and is being actively developed in the open, welcoming community contributions.

♾️ Agentic MCP

A powerful Model Context Protocol server with advanced AI capabilities by the Agentics Foundation. Built on the OpenAI Agents API/SDK using TypeScript, this package implements a comprehensive MCP server that enhances AI agents with sophisticated tools and orchestration capabilities:

🌟 Core Capabilities

  • 🔍 Web Search Research: Generate comprehensive reports with up-to-date information from the web using gpt-4o-search-preview
  • 📝 Smart Summarization: Create concise, well-structured summaries with key points and citations
  • 🗄️ Database Integration: Query and analyze data from Supabase databases with structured results
  • 👥 Customer Support: Handle inquiries and provide assistance with natural language understanding
  • 🔄 Agent Orchestration: Seamlessly transfer control between specialized agents based on query needs
  • 🔀 Multi-Agent Workflows: Create complex agent networks with parent-child relationships and shared context
  • 🧠 Context Management: Sophisticated state tracking with memory, resources, and workflow management
  • 🛡️ Guardrails System: Configurable input and output validation to ensure safe and appropriate responses
  • 📊 Tracing & Debugging: Comprehensive logging and debugging capabilities for development
  • 🔌 Edge Function Deployment: Ready for deployment as Supabase Edge Functions
  • 🔄 Streaming Support: Real-time streaming responses for interactive applications

🚀 Installation

# Install globally
npm install -g @agentics.org/agentic-mcp
# Or as a project dependency
npm install @agentics.org/agentic-mcp

Overview

This repository contains edge functions implementing various patterns for autonomous agent deployment and operation. Built on Supabase's serverless infrastructure and Deno runtime, these functions enable scalable, efficient, and globally distributed agent capabilities.

Additionally, it includes the scripts/agentic-mcp/ package, a powerful Model Context Protocol server that enhances AI agents with advanced tools and orchestration capabilities.

What are Edge Functions?

Edge functions are serverless functions running at network edges, providing low-latency, high-availability compute without server management. Supabase Edge Functions use Deno, a modern secure JavaScript/TypeScript runtime with built-in security features.

Why Deno?

Deno is a modern, secure runtime for JavaScript and TypeScript that provides several advantages:

  • Security-first design: Explicit permissions for file, network, and environment access
  • Built-in TypeScript support: No configuration needed
  • Modern JavaScript: Support for ES modules, top-level await, and more
  • Standard library: Comprehensive, reviewed standard modules
  • Single executable: No dependency management headaches

Function Categories

Our edge functions fall into several categories:

Agent Functions

Management Functions

Communication Functions

Integration Functions

Utility Functions

Key Features

  • Real-time Communication: Agents can communicate in real-time using Supabase's real-time channels
  • Database Integration: Seamless integration with Supabase PostgreSQL database
  • Secure Secrets Management: Environment variables for secure credential management
  • Scalable Architecture: Functions scale automatically with demand
  • Global Distribution: Deploy functions globally for low-latency responses

Getting Started

To get started with these edge functions:

  1. Clone this repository
  2. Set up a Supabase project
  3. Configure environment variables
  4. Deploy functions to your Supabase project

For beginners, we recommend following our step-by-step tutorials to learn how to create, deploy, and test edge functions. For detailed instructions, see the Getting Started Guide.

Documentation

Comprehensive documentation is available in the docs directory:

Tutorials

Contributing

Contributions are welcome! Please see our Contributing Guidelines for more information.

License

This project is licensed under the terms of the license included in the repository.


Created by rUv, Agentics Foundation founder.

About

serverless agents

Resources

Contributing

Stars

243 stars

Watchers

1 watching

Forks

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Used by

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Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - agenticsorg/edge-agents: serverless agents · GitHub
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Agentic Edge Functions

Welcome to the Agentic Edge Functions repository by the Agentics Foundation. This open-source project serves as the technological foundation for distributed autonomous AI agents operating at the edge of networks.

What are Agentic Edge Functions?

Agentic Edge Functions combine serverless edge computing with autonomous AI capabilities. Running at the network edge, these functions enable AI agents to:

  • Operate independently near users for lower latency
  • Communicate securely with other agents and systems
  • Access controlled resources via defined interfaces
  • Scale dynamically based on workload requirements

This infrastructure powers the Agentic Dashboard and Agentic Inbox systems at agentics.org/dashboard and is being actively developed in the open, welcoming community contributions.

♾️ Agentic MCP

A powerful Model Context Protocol server with advanced AI capabilities by the Agentics Foundation. Built on the OpenAI Agents API/SDK using TypeScript, this package implements a comprehensive MCP server that enhances AI agents with sophisticated tools and orchestration capabilities:

🌟 Core Capabilities

  • 🔍 Web Search Research: Generate comprehensive reports with up-to-date information from the web using gpt-4o-search-preview
  • 📝 Smart Summarization: Create concise, well-structured summaries with key points and citations
  • 🗄️ Database Integration: Query and analyze data from Supabase databases with structured results
  • 👥 Customer Support: Handle inquiries and provide assistance with natural language understanding
  • 🔄 Agent Orchestration: Seamlessly transfer control between specialized agents based on query needs
  • 🔀 Multi-Agent Workflows: Create complex agent networks with parent-child relationships and shared context
  • 🧠 Context Management: Sophisticated state tracking with memory, resources, and workflow management
  • 🛡️ Guardrails System: Configurable input and output validation to ensure safe and appropriate responses
  • 📊 Tracing & Debugging: Comprehensive logging and debugging capabilities for development
  • 🔌 Edge Function Deployment: Ready for deployment as Supabase Edge Functions
  • 🔄 Streaming Support: Real-time streaming responses for interactive applications

🚀 Installation

# Install globally
npm install -g @agentics.org/agentic-mcp
# Or as a project dependency
npm install @agentics.org/agentic-mcp

Overview

This repository contains edge functions implementing various patterns for autonomous agent deployment and operation. Built on Supabase's serverless infrastructure and Deno runtime, these functions enable scalable, efficient, and globally distributed agent capabilities.

Additionally, it includes the scripts/agentic-mcp/ package, a powerful Model Context Protocol server that enhances AI agents with advanced tools and orchestration capabilities.

What are Edge Functions?

Edge functions are serverless functions running at network edges, providing low-latency, high-availability compute without server management. Supabase Edge Functions use Deno, a modern secure JavaScript/TypeScript runtime with built-in security features.

Why Deno?

Deno is a modern, secure runtime for JavaScript and TypeScript that provides several advantages:

  • Security-first design: Explicit permissions for file, network, and environment access
  • Built-in TypeScript support: No configuration needed
  • Modern JavaScript: Support for ES modules, top-level await, and more
  • Standard library: Comprehensive, reviewed standard modules
  • Single executable: No dependency management headaches

Function Categories

Our edge functions fall into several categories:

Agent Functions

Management Functions

Communication Functions

Integration Functions

Utility Functions

Key Features

  • Real-time Communication: Agents can communicate in real-time using Supabase's real-time channels
  • Database Integration: Seamless integration with Supabase PostgreSQL database
  • Secure Secrets Management: Environment variables for secure credential management
  • Scalable Architecture: Functions scale automatically with demand
  • Global Distribution: Deploy functions globally for low-latency responses

Getting Started

To get started with these edge functions:

  1. Clone this repository
  2. Set up a Supabase project
  3. Configure environment variables
  4. Deploy functions to your Supabase project

For beginners, we recommend following our step-by-step tutorials to learn how to create, deploy, and test edge functions. For detailed instructions, see the Getting Started Guide.

Documentation

Comprehensive documentation is available in the docs directory:

Tutorials

Contributing

Contributions are welcome! Please see our Contributing Guidelines for more information.

License

This project is licensed under the terms of the license included in the repository.


Created by rUv, Agentics Foundation founder.

About

serverless agents

Resources

Contributing

Stars

243 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - agenticsorg/edge-agents: serverless agents · GitHub
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Agentic Edge Functions

Welcome to the Agentic Edge Functions repository by the Agentics Foundation. This open-source project serves as the technological foundation for distributed autonomous AI agents operating at the edge of networks.

What are Agentic Edge Functions?

Agentic Edge Functions combine serverless edge computing with autonomous AI capabilities. Running at the network edge, these functions enable AI agents to:

  • Operate independently near users for lower latency
  • Communicate securely with other agents and systems
  • Access controlled resources via defined interfaces
  • Scale dynamically based on workload requirements

This infrastructure powers the Agentic Dashboard and Agentic Inbox systems at agentics.org/dashboard and is being actively developed in the open, welcoming community contributions.

♾️ Agentic MCP

A powerful Model Context Protocol server with advanced AI capabilities by the Agentics Foundation. Built on the OpenAI Agents API/SDK using TypeScript, this package implements a comprehensive MCP server that enhances AI agents with sophisticated tools and orchestration capabilities:

🌟 Core Capabilities

  • 🔍 Web Search Research: Generate comprehensive reports with up-to-date information from the web using gpt-4o-search-preview
  • 📝 Smart Summarization: Create concise, well-structured summaries with key points and citations
  • 🗄️ Database Integration: Query and analyze data from Supabase databases with structured results
  • 👥 Customer Support: Handle inquiries and provide assistance with natural language understanding
  • 🔄 Agent Orchestration: Seamlessly transfer control between specialized agents based on query needs
  • 🔀 Multi-Agent Workflows: Create complex agent networks with parent-child relationships and shared context
  • 🧠 Context Management: Sophisticated state tracking with memory, resources, and workflow management
  • 🛡️ Guardrails System: Configurable input and output validation to ensure safe and appropriate responses
  • 📊 Tracing & Debugging: Comprehensive logging and debugging capabilities for development
  • 🔌 Edge Function Deployment: Ready for deployment as Supabase Edge Functions
  • 🔄 Streaming Support: Real-time streaming responses for interactive applications

🚀 Installation

# Install globally
npm install -g @agentics.org/agentic-mcp
# Or as a project dependency
npm install @agentics.org/agentic-mcp

Overview

This repository contains edge functions implementing various patterns for autonomous agent deployment and operation. Built on Supabase's serverless infrastructure and Deno runtime, these functions enable scalable, efficient, and globally distributed agent capabilities.

Additionally, it includes the scripts/agentic-mcp/ package, a powerful Model Context Protocol server that enhances AI agents with advanced tools and orchestration capabilities.

What are Edge Functions?

Edge functions are serverless functions running at network edges, providing low-latency, high-availability compute without server management. Supabase Edge Functions use Deno, a modern secure JavaScript/TypeScript runtime with built-in security features.

Why Deno?

Deno is a modern, secure runtime for JavaScript and TypeScript that provides several advantages:

  • Security-first design: Explicit permissions for file, network, and environment access
  • Built-in TypeScript support: No configuration needed
  • Modern JavaScript: Support for ES modules, top-level await, and more
  • Standard library: Comprehensive, reviewed standard modules
  • Single executable: No dependency management headaches

Function Categories

Our edge functions fall into several categories:

Agent Functions

Management Functions

Communication Functions

Integration Functions

Utility Functions

Key Features

  • Real-time Communication: Agents can communicate in real-time using Supabase's real-time channels
  • Database Integration: Seamless integration with Supabase PostgreSQL database
  • Secure Secrets Management: Environment variables for secure credential management
  • Scalable Architecture: Functions scale automatically with demand
  • Global Distribution: Deploy functions globally for low-latency responses

Getting Started

To get started with these edge functions:

  1. Clone this repository
  2. Set up a Supabase project
  3. Configure environment variables
  4. Deploy functions to your Supabase project

For beginners, we recommend following our step-by-step tutorials to learn how to create, deploy, and test edge functions. For detailed instructions, see the Getting Started Guide.

Documentation

Comprehensive documentation is available in the docs directory:

Tutorials

Contributing

Contributions are welcome! Please see our Contributing Guidelines for more information.

License

This project is licensed under the terms of the license included in the repository.


Created by rUv, Agentics Foundation founder.

About

serverless agents

Resources

Contributing

Stars

243 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' GitHub - agenticsorg/edge-agents: serverless agents · GitHub
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Repository files navigation

Agentic Edge Functions

Welcome to the Agentic Edge Functions repository by the Agentics Foundation. This open-source project serves as the technological foundation for distributed autonomous AI agents operating at the edge of networks.

What are Agentic Edge Functions?

Agentic Edge Functions combine serverless edge computing with autonomous AI capabilities. Running at the network edge, these functions enable AI agents to:

  • Operate independently near users for lower latency
  • Communicate securely with other agents and systems
  • Access controlled resources via defined interfaces
  • Scale dynamically based on workload requirements

This infrastructure powers the Agentic Dashboard and Agentic Inbox systems at agentics.org/dashboard and is being actively developed in the open, welcoming community contributions.

♾️ Agentic MCP

A powerful Model Context Protocol server with advanced AI capabilities by the Agentics Foundation. Built on the OpenAI Agents API/SDK using TypeScript, this package implements a comprehensive MCP server that enhances AI agents with sophisticated tools and orchestration capabilities:

🌟 Core Capabilities

  • 🔍 Web Search Research: Generate comprehensive reports with up-to-date information from the web using gpt-4o-search-preview
  • 📝 Smart Summarization: Create concise, well-structured summaries with key points and citations
  • 🗄️ Database Integration: Query and analyze data from Supabase databases with structured results
  • 👥 Customer Support: Handle inquiries and provide assistance with natural language understanding
  • 🔄 Agent Orchestration: Seamlessly transfer control between specialized agents based on query needs
  • 🔀 Multi-Agent Workflows: Create complex agent networks with parent-child relationships and shared context
  • 🧠 Context Management: Sophisticated state tracking with memory, resources, and workflow management
  • 🛡️ Guardrails System: Configurable input and output validation to ensure safe and appropriate responses
  • 📊 Tracing & Debugging: Comprehensive logging and debugging capabilities for development
  • 🔌 Edge Function Deployment: Ready for deployment as Supabase Edge Functions
  • 🔄 Streaming Support: Real-time streaming responses for interactive applications

🚀 Installation

# Install globally
npm install -g @agentics.org/agentic-mcp
# Or as a project dependency
npm install @agentics.org/agentic-mcp

Overview

This repository contains edge functions implementing various patterns for autonomous agent deployment and operation. Built on Supabase's serverless infrastructure and Deno runtime, these functions enable scalable, efficient, and globally distributed agent capabilities.

Additionally, it includes the scripts/agentic-mcp/ package, a powerful Model Context Protocol server that enhances AI agents with advanced tools and orchestration capabilities.

What are Edge Functions?

Edge functions are serverless functions running at network edges, providing low-latency, high-availability compute without server management. Supabase Edge Functions use Deno, a modern secure JavaScript/TypeScript runtime with built-in security features.

Why Deno?

Deno is a modern, secure runtime for JavaScript and TypeScript that provides several advantages:

  • Security-first design: Explicit permissions for file, network, and environment access
  • Built-in TypeScript support: No configuration needed
  • Modern JavaScript: Support for ES modules, top-level await, and more
  • Standard library: Comprehensive, reviewed standard modules
  • Single executable: No dependency management headaches

Function Categories

Our edge functions fall into several categories:

Agent Functions

Management Functions

Communication Functions

Integration Functions

Utility Functions

Key Features

  • Real-time Communication: Agents can communicate in real-time using Supabase's real-time channels
  • Database Integration: Seamless integration with Supabase PostgreSQL database
  • Secure Secrets Management: Environment variables for secure credential management
  • Scalable Architecture: Functions scale automatically with demand
  • Global Distribution: Deploy functions globally for low-latency responses

Getting Started

To get started with these edge functions:

  1. Clone this repository
  2. Set up a Supabase project
  3. Configure environment variables
  4. Deploy functions to your Supabase project

For beginners, we recommend following our step-by-step tutorials to learn how to create, deploy, and test edge functions. For detailed instructions, see the Getting Started Guide.

Documentation

Comprehensive documentation is available in the docs directory:

Tutorials

Contributing

Contributions are welcome! Please see our Contributing Guidelines for more information.

License

This project is licensed under the terms of the license included in the repository.


Created by rUv, Agentics Foundation founder.

About

serverless agents

Resources

Contributing

Stars

243 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - agenticsorg/edge-agents: serverless agents · GitHub
Skip to content

Repository files navigation

Agentic Edge Functions

Welcome to the Agentic Edge Functions repository by the Agentics Foundation. This open-source project serves as the technological foundation for distributed autonomous AI agents operating at the edge of networks.

What are Agentic Edge Functions?

Agentic Edge Functions combine serverless edge computing with autonomous AI capabilities. Running at the network edge, these functions enable AI agents to:

  • Operate independently near users for lower latency
  • Communicate securely with other agents and systems
  • Access controlled resources via defined interfaces
  • Scale dynamically based on workload requirements

This infrastructure powers the Agentic Dashboard and Agentic Inbox systems at agentics.org/dashboard and is being actively developed in the open, welcoming community contributions.

♾️ Agentic MCP

A powerful Model Context Protocol server with advanced AI capabilities by the Agentics Foundation. Built on the OpenAI Agents API/SDK using TypeScript, this package implements a comprehensive MCP server that enhances AI agents with sophisticated tools and orchestration capabilities:

🌟 Core Capabilities

  • 🔍 Web Search Research: Generate comprehensive reports with up-to-date information from the web using gpt-4o-search-preview
  • 📝 Smart Summarization: Create concise, well-structured summaries with key points and citations
  • 🗄️ Database Integration: Query and analyze data from Supabase databases with structured results
  • 👥 Customer Support: Handle inquiries and provide assistance with natural language understanding
  • 🔄 Agent Orchestration: Seamlessly transfer control between specialized agents based on query needs
  • 🔀 Multi-Agent Workflows: Create complex agent networks with parent-child relationships and shared context
  • 🧠 Context Management: Sophisticated state tracking with memory, resources, and workflow management
  • 🛡️ Guardrails System: Configurable input and output validation to ensure safe and appropriate responses
  • 📊 Tracing & Debugging: Comprehensive logging and debugging capabilities for development
  • 🔌 Edge Function Deployment: Ready for deployment as Supabase Edge Functions
  • 🔄 Streaming Support: Real-time streaming responses for interactive applications

🚀 Installation

# Install globally
npm install -g @agentics.org/agentic-mcp
# Or as a project dependency
npm install @agentics.org/agentic-mcp

Overview

This repository contains edge functions implementing various patterns for autonomous agent deployment and operation. Built on Supabase's serverless infrastructure and Deno runtime, these functions enable scalable, efficient, and globally distributed agent capabilities.

Additionally, it includes the scripts/agentic-mcp/ package, a powerful Model Context Protocol server that enhances AI agents with advanced tools and orchestration capabilities.

What are Edge Functions?

Edge functions are serverless functions running at network edges, providing low-latency, high-availability compute without server management. Supabase Edge Functions use Deno, a modern secure JavaScript/TypeScript runtime with built-in security features.

Why Deno?

Deno is a modern, secure runtime for JavaScript and TypeScript that provides several advantages:

  • Security-first design: Explicit permissions for file, network, and environment access
  • Built-in TypeScript support: No configuration needed
  • Modern JavaScript: Support for ES modules, top-level await, and more
  • Standard library: Comprehensive, reviewed standard modules
  • Single executable: No dependency management headaches

Function Categories

Our edge functions fall into several categories:

Agent Functions

Management Functions

Communication Functions

Integration Functions

Utility Functions

Key Features

  • Real-time Communication: Agents can communicate in real-time using Supabase's real-time channels
  • Database Integration: Seamless integration with Supabase PostgreSQL database
  • Secure Secrets Management: Environment variables for secure credential management
  • Scalable Architecture: Functions scale automatically with demand
  • Global Distribution: Deploy functions globally for low-latency responses

Getting Started

To get started with these edge functions:

  1. Clone this repository
  2. Set up a Supabase project
  3. Configure environment variables
  4. Deploy functions to your Supabase project

For beginners, we recommend following our step-by-step tutorials to learn how to create, deploy, and test edge functions. For detailed instructions, see the Getting Started Guide.

Documentation

Comprehensive documentation is available in the docs directory:

Tutorials

Contributing

Contributions are welcome! Please see our Contributing Guidelines for more information.

License

This project is licensed under the terms of the license included in the repository.


Created by rUv, Agentics Foundation founder.

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - agenticsorg/edge-agents: serverless agents · GitHub
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Agentic Edge Functions

Welcome to the Agentic Edge Functions repository by the Agentics Foundation. This open-source project serves as the technological foundation for distributed autonomous AI agents operating at the edge of networks.

What are Agentic Edge Functions?

Agentic Edge Functions combine serverless edge computing with autonomous AI capabilities. Running at the network edge, these functions enable AI agents to:

  • Operate independently near users for lower latency
  • Communicate securely with other agents and systems
  • Access controlled resources via defined interfaces
  • Scale dynamically based on workload requirements

This infrastructure powers the Agentic Dashboard and Agentic Inbox systems at agentics.org/dashboard and is being actively developed in the open, welcoming community contributions.

♾️ Agentic MCP

A powerful Model Context Protocol server with advanced AI capabilities by the Agentics Foundation. Built on the OpenAI Agents API/SDK using TypeScript, this package implements a comprehensive MCP server that enhances AI agents with sophisticated tools and orchestration capabilities:

🌟 Core Capabilities

  • 🔍 Web Search Research: Generate comprehensive reports with up-to-date information from the web using gpt-4o-search-preview
  • 📝 Smart Summarization: Create concise, well-structured summaries with key points and citations
  • 🗄️ Database Integration: Query and analyze data from Supabase databases with structured results
  • 👥 Customer Support: Handle inquiries and provide assistance with natural language understanding
  • 🔄 Agent Orchestration: Seamlessly transfer control between specialized agents based on query needs
  • 🔀 Multi-Agent Workflows: Create complex agent networks with parent-child relationships and shared context
  • 🧠 Context Management: Sophisticated state tracking with memory, resources, and workflow management
  • 🛡️ Guardrails System: Configurable input and output validation to ensure safe and appropriate responses
  • 📊 Tracing & Debugging: Comprehensive logging and debugging capabilities for development
  • 🔌 Edge Function Deployment: Ready for deployment as Supabase Edge Functions
  • 🔄 Streaming Support: Real-time streaming responses for interactive applications

🚀 Installation

# Install globally
npm install -g @agentics.org/agentic-mcp
# Or as a project dependency
npm install @agentics.org/agentic-mcp

Overview

This repository contains edge functions implementing various patterns for autonomous agent deployment and operation. Built on Supabase's serverless infrastructure and Deno runtime, these functions enable scalable, efficient, and globally distributed agent capabilities.

Additionally, it includes the scripts/agentic-mcp/ package, a powerful Model Context Protocol server that enhances AI agents with advanced tools and orchestration capabilities.

What are Edge Functions?

Edge functions are serverless functions running at network edges, providing low-latency, high-availability compute without server management. Supabase Edge Functions use Deno, a modern secure JavaScript/TypeScript runtime with built-in security features.

Why Deno?

Deno is a modern, secure runtime for JavaScript and TypeScript that provides several advantages:

  • Security-first design: Explicit permissions for file, network, and environment access
  • Built-in TypeScript support: No configuration needed
  • Modern JavaScript: Support for ES modules, top-level await, and more
  • Standard library: Comprehensive, reviewed standard modules
  • Single executable: No dependency management headaches

Function Categories

Our edge functions fall into several categories:

Agent Functions

Management Functions

Communication Functions

Integration Functions

Utility Functions

Key Features

  • Real-time Communication: Agents can communicate in real-time using Supabase's real-time channels
  • Database Integration: Seamless integration with Supabase PostgreSQL database
  • Secure Secrets Management: Environment variables for secure credential management
  • Scalable Architecture: Functions scale automatically with demand
  • Global Distribution: Deploy functions globally for low-latency responses

Getting Started

To get started with these edge functions:

  1. Clone this repository
  2. Set up a Supabase project
  3. Configure environment variables
  4. Deploy functions to your Supabase project

For beginners, we recommend following our step-by-step tutorials to learn how to create, deploy, and test edge functions. For detailed instructions, see the Getting Started Guide.

Documentation

Comprehensive documentation is available in the docs directory:

Tutorials

Contributing

Contributions are welcome! Please see our Contributing Guidelines for more information.

License

This project is licensed under the terms of the license included in the repository.


Created by rUv, Agentics Foundation founder.

About

serverless agents

Resources

Contributing

Stars

243 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })(); GitHub - agenticsorg/edge-agents: serverless agents · GitHub
Skip to content

Repository files navigation

Agentic Edge Functions

Welcome to the Agentic Edge Functions repository by the Agentics Foundation. This open-source project serves as the technological foundation for distributed autonomous AI agents operating at the edge of networks.

What are Agentic Edge Functions?

Agentic Edge Functions combine serverless edge computing with autonomous AI capabilities. Running at the network edge, these functions enable AI agents to:

  • Operate independently near users for lower latency
  • Communicate securely with other agents and systems
  • Access controlled resources via defined interfaces
  • Scale dynamically based on workload requirements

This infrastructure powers the Agentic Dashboard and Agentic Inbox systems at agentics.org/dashboard and is being actively developed in the open, welcoming community contributions.

♾️ Agentic MCP

A powerful Model Context Protocol server with advanced AI capabilities by the Agentics Foundation. Built on the OpenAI Agents API/SDK using TypeScript, this package implements a comprehensive MCP server that enhances AI agents with sophisticated tools and orchestration capabilities:

🌟 Core Capabilities

  • 🔍 Web Search Research: Generate comprehensive reports with up-to-date information from the web using gpt-4o-search-preview
  • 📝 Smart Summarization: Create concise, well-structured summaries with key points and citations
  • 🗄️ Database Integration: Query and analyze data from Supabase databases with structured results
  • 👥 Customer Support: Handle inquiries and provide assistance with natural language understanding
  • 🔄 Agent Orchestration: Seamlessly transfer control between specialized agents based on query needs
  • 🔀 Multi-Agent Workflows: Create complex agent networks with parent-child relationships and shared context
  • 🧠 Context Management: Sophisticated state tracking with memory, resources, and workflow management
  • 🛡️ Guardrails System: Configurable input and output validation to ensure safe and appropriate responses
  • 📊 Tracing & Debugging: Comprehensive logging and debugging capabilities for development
  • 🔌 Edge Function Deployment: Ready for deployment as Supabase Edge Functions
  • 🔄 Streaming Support: Real-time streaming responses for interactive applications

🚀 Installation

# Install globally
npm install -g @agentics.org/agentic-mcp
# Or as a project dependency
npm install @agentics.org/agentic-mcp

Overview

This repository contains edge functions implementing various patterns for autonomous agent deployment and operation. Built on Supabase's serverless infrastructure and Deno runtime, these functions enable scalable, efficient, and globally distributed agent capabilities.

Additionally, it includes the scripts/agentic-mcp/ package, a powerful Model Context Protocol server that enhances AI agents with advanced tools and orchestration capabilities.

What are Edge Functions?

Edge functions are serverless functions running at network edges, providing low-latency, high-availability compute without server management. Supabase Edge Functions use Deno, a modern secure JavaScript/TypeScript runtime with built-in security features.

Why Deno?

Deno is a modern, secure runtime for JavaScript and TypeScript that provides several advantages:

  • Security-first design: Explicit permissions for file, network, and environment access
  • Built-in TypeScript support: No configuration needed
  • Modern JavaScript: Support for ES modules, top-level await, and more
  • Standard library: Comprehensive, reviewed standard modules
  • Single executable: No dependency management headaches

Function Categories

Our edge functions fall into several categories:

Agent Functions

Management Functions

Communication Functions

Integration Functions

Utility Functions

Key Features

  • Real-time Communication: Agents can communicate in real-time using Supabase's real-time channels
  • Database Integration: Seamless integration with Supabase PostgreSQL database
  • Secure Secrets Management: Environment variables for secure credential management
  • Scalable Architecture: Functions scale automatically with demand
  • Global Distribution: Deploy functions globally for low-latency responses

Getting Started

To get started with these edge functions:

  1. Clone this repository
  2. Set up a Supabase project
  3. Configure environment variables
  4. Deploy functions to your Supabase project

For beginners, we recommend following our step-by-step tutorials to learn how to create, deploy, and test edge functions. For detailed instructions, see the Getting Started Guide.

Documentation

Comprehensive documentation is available in the docs directory:

Tutorials

Contributing

Contributions are welcome! Please see our Contributing Guidelines for more information.

License

This project is licensed under the terms of the license included in the repository.


Created by rUv, Agentics Foundation founder.

About

serverless agents

Resources

Contributing

Stars

243 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages