n8n

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Explore the top contributors showcasing the highest number of app submissions within our community.

n8n

n8n is a fair-code workflow automation platform designed for "agentic workflows." It features a visual node editor and supports custom code, offering over 400 integrations to connect various applications and services. This platform enables users to automate complex tasks and build sophisticated workflows with ease, making it a powerful tool for developers and automators alike.

General
Author	n8n GmbH
Release Date	2019
Website	https://n8n.io/
Documentation	https://docs.n8n.io/
Technology Type	Workflow automation platform

Key Features

Visual Workflow Editor: Drag-and-drop interface for building complex workflows without writing extensive code.
400+ Integrations: Connects with a vast array of applications, databases, and APIs.
Custom Code Support: Allows for JavaScript/TypeScript functions within workflows for advanced customization.
Fair-Code Licensing: Provides transparency and community contributions while maintaining commercial viability.
Agentic Workflows: Designed to facilitate advanced automation scenarios often found in AI-driven applications.
Data Transformation: Tools for manipulating and transforming data between different steps in a workflow.

Start Building with n8n

n8n offers powerful capabilities for automating tasks and integrating systems. Its visual editor and extensive integrations make it accessible for rapidly building "agentic workflows." Developers can leverage n8n to connect AI models, manage data flows, and automate responses across various platforms. Explore the official documentation and community examples to see how n8n can enhance your projects.

👉 Start building with n8n 👉 n8n Integrations

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n8n AI Technologies Hackathon projects

Discover innovative solutions crafted with n8n AI Technologies, developed by our community members during our engaging hackathons.

NewScriber - Automated News Briefing & Podcast

Every morning, millions of people skip the news — not because they don't care, but because reading takes time they don't have. NewScriber solves that with a fully automated pipeline that goes from raw headlines to a listenable podcast episode before your first coffee. The system runs on a scheduled pipeline: at 6:30 AM, it scrapes top tech and business headlines using Firecrawl v2, then passes them through Azure OpenAI (Kimi-K2.5) to editorially select the most relevant stories and generate a natural, two-host conversational script. At 7:00 AM, the script is sent to Gemini TTS via OpenRouter, rendered as high-fidelity speech, transcoded with ffmpeg, and uploaded to Cloudflare R2. The RSS feed updates automatically — and the episode is live on Spotify and Apple Podcasts. This happens in parallel across four languages. English, Italian, French, and Bengali each have their own pair of named hosts (Alex & Sam, Sofia & Marco, Marie & Pierre, Nusrat & Fahim), their own editorial voice, their own timezone schedule, and their own podcast channel. Adding a new language requires changing one prompt and one cron block. The backend is a Go webhook microservice orchestrated by n8n, persisted in PostgreSQL, proxied via Caddy, and deployed on GCP. Everything is containerized with Docker Compose. The architecture is modular by design — the WhatsApp delivery layer is decoupled from the news pipeline so either can scale or be replaced independently.

VIGILO - Global AI Compliance Enforcement Engine

VIGILO is a full-stack autonomous AI compliance enforcement engine built for the EU AI Act. Unlike chatbots that wait for user instructions, VIGILO operates as a true agent: upload one document or code file describing your AI system, and VIGILO takes over completely. Its multi-agent pipeline — powered by Google Gemini 2.0 Flash for analysis, Featherless Llama 3.1 70B for obligation scoring, and Speechmatics for voice input — autonomously reads the submission, classifies the EU AI Act risk tier (Unacceptable/High/Limited/Minimal), maps it to applicable Annex III categories, scores compliance across Articles 9-15, and generates a detailed remediation report. Every step streams live to the UI via WebSockets. VIGILO covers both document compliance (policy docs, system descriptions) and technical compliance (code scanning for prohibited patterns, missing human oversight, lack of audit trails). Deployed on Vultr, orchestrated visually via n8n, and open-source under MIT. Target users: legal teams, CTOs, and AI product managers at companies deploying AI systems in the EU who face real compliance obligations coming into force in 2025-2026.

AgentAudit: Immutable AI Audit Trail

AgentAudit solves the critical gap in AI agent governance: enterprises run agents in production today — updating CRMs, generating reports, sending emails — but when audits or incidents occur, there's zero proof of what happened, when, or why. Our solution: every agent action passes through Lobster Trap (deep prompt inspection + policy enforcement), generates a SHA-256 hash, and is permanently recorded on Base L2 blockchain. The result is an immutable, verifiable audit trail that compliance officers can present to regulators immediately. The architecture: 1. Agent action → Lobster Trap :8080 (policy evaluation: ALLOW/DENY/LOG) 2. If ALLOW → LLM processes → audit.log (JSON) 3. AgentAudit Bridge → SHA-256 hash → Base L2 Sepolia blockchain 4. Supabase stores metadata + blockchain transaction hash 5. Next.js dashboard shows real-time events with VerifyBadge (click hash → see on-chain proof) Why it matters: 80% of enterprises already use AI agents. 0% have immutable audit trails. This is the missing infrastructure. Technical stack: Lobster Trap (Go), Base L2 Sepolia, Supabase, Next.js, Solidity smart contract, n8n orchestration, Node.js bridge. We're Diego Rivera (Vision4AI), implementing agents for LATAM enterprises. Built AgentAudit because we needed it first. Every AI action. Immutably verified.

MarketLeadOS

MarketLeadOS is a fully autonomous marketing and lead conversion system powered by 4 specialized AI agents that work together — and argue with each other — to run your entire top-of-funnel without a single human decision. The Problem Every day, thousands of potential customers visit websites, browse pricing pages, click enroll, and leave without buying. Companies respond by sending the same generic template to every lead. No personalization. No context. No understanding of why the person hesitated. How It Works Controlled from a single Telegram bot using 2 commands. Type /post_ads — the Ads Agent generates 5 ad options. The Leads Manager and Sales Manager debate which one to post. The Leads Manager argues for maximum reach. The Sales Manager pushes back, arguing that volume means nothing if leads don't convert. When deadlocked, the Executive Agent evaluates both arguments and makes the final call. Ad goes live automatically. When a visitor visits the website, a tracking script scores their behavior in real time — every page visited, every button clicked. Once their score crosses 60, the Leads Manager builds a complete psychological persona — their fear type, hesitation point, and intent level. The Sales Manager then writes a unique personalized email from scratch based on that exact persona. Self-Optimizing Threshold If leads scoring 60-70 aren't converting, the Sales Manager instructs the Leads Manager to raise the threshold to 70. If conversion is strong, it lowers it back to capture missed opportunities. The system rewrites its own rules continuously. No human involved. Type /report — get a complete Excel sheet of every lead, their persona, fear type, email sent, and conversion status. Instantly. Every other system follows rules. Ours rewrites them. Personas not templates. Precision not spam. Intelligence not guesswork.

GHOST BOARD — Autonomous AI Command Center

GHOST BOARD is a futuristic multi-agent AI operating system designed to simulate how autonomous AI executives coordinate during critical enterprise crises. Unlike traditional AI assistants that work independently, GHOST BOARD orchestrates multiple specialized AI executives including CEO AI, CTO AI, Security AI, Operations AI, HR AI, and Marketing AI. Each AI executive collaborates in real time to analyze incidents, escalate risks, coordinate workflows, and generate enterprise recovery strategies autonomously. The platform simulates realistic enterprise-scale operational failures such as cyberattacks, infrastructure outages, payment system failures, and security breaches. During each simulation, AI executives communicate through live operational intelligence feeds, generate department-specific responses, evaluate business impact, and coordinate recovery actions across the organization. The system combines a cinematic cyberpunk-inspired command center with real workflow orchestration powered by n8n and AI reasoning pipelines. Executive outputs are transformed into operational dashboards, escalation timelines, recovery systems, and intelligence reports that mimic real enterprise coordination environments. To improve realism, the platform includes a fictional enterprise ecosystem called NovaPay Technologies, featuring connected infrastructure systems, operational telemetry, AI executive monitoring, and live crisis-response workflows. Key capabilities include: - Multi-agent AI executive orchestration - Real-time crisis simulation engine - Autonomous workflow coordination - Live AI communication pipelines - Enterprise operational dashboards - Security operations visualization - Predictive operational analytics - AI-generated recovery reports - Infrastructure monitoring systems - Webhook-based automation using n8n