Hugging Face
Search models, datasets, users...
Ctrl K
Models
Datasets
Spaces
Buckets
Docs
Enterprise
Pricing
Website
Tasks
HuggingChat
Collections
Languages
Organizations
Community
Blog
Posts
Daily Papers
Hardware
Learn
Discord
Forum
GitHub
Solutions
Team & Enterprise
Hugging Face PRO
Enterprise Support
Inference Providers
Inference Endpoints
Storage Buckets
Log In
Sign Up
Spaces:
Tynlam
/
n8n-agent
Like
0
Running
App
Files
Files
Community
main
n8n-agent
450 kB
Ctrl+K
Ctrl+K
1 contributor
History:
12 commits
Tynlam
all fonts and animations are also to be monochromatic black/white
b939567
verified
11 months ago
images
Upload 1 media file(s)
11 months ago
.gitattributes
Safe
1.59 kB
Upload 1 media file(s)
11 months ago
README.md
Safe
231 Bytes
The n8n-agent project is a modular automation platform that enables users to submit natural language requests through either a GUI dashboard or a command-line interface, which are processed by a Multi-Agent Control Platform (MCP) orchestrated via Groq. Built on a Node.js backend with Express for server handling, it employs JavaScript/ES Modules for modular agent design, dotenv for configuration management, and integrates n8n for workflow automation, while supporting REST API communication with external services and local SQLite databases for persistence. Its core features include multi-agent orchestration, automated workflow compilation and execution, product research tools, external service integration (e.g., Printful), and a central browser-based dashboard for monitoring and controlling workflows. The dashboard is designed to be user-friendly, featuring sidebar navigation for quick access to sections like Overview, Automation, Research, and Agents, a main workspace displaying dynamic content such as workflow status, real-time agent outputs, and interactive charts or tables, and control panels with action buttons to start, pause, or modify workflows, submit requests, and view detailed logs. A central chat interface allows users to submit natural language queries directly to the LLM orchestrator or MCP, displaying conversation history, agent responses, workflow updates, timestamped messages, and optional attachments or previews, with filtering, searching, pinning, and visual indicators to distinguish between agents, workflows, and human users, enabling iterative refinement of tasks and seamless interaction with automated processes in a flexible and extensible framework for complex automation scenarios.
11 months ago
index.html
Safe
37.9 kB
all fonts and animations are also to be monochromatic black/white
11 months ago
script.js
Safe
12.6 kB
all fonts and animations are also to be monochromatic black/white
11 months ago
style.css
Safe
10.4 kB
all fonts and animations are also to be monochromatic black/white
11 months ago