What is DeepChain?

Learn what DeepChain is, what you can build with it, and how it works

What is DeepChain?

DeepChain is a visual workflow automation platform that lets you build powerful integrations and automations without writing code. Think of it as a super-powered automation tool that connects all your favorite services and lets them work together seamlessly.

What Can You Build?

Here are some real-world examples of workflows you can create:

Sync Data Across Services — Automatically pull customer data from Salesforce, enrich it with AI, and push results to HubSpot. No code, no API wrestling, no manual work.

Approval Workflows — Build approval chains where requests flow through your team. One person submits, others review, and everything updates automatically.

AI-Powered Automation — Use OpenAI or Claude to generate content, extract insights, or make decisions. Then automatically post to Slack, save to a database, or send via email.

Real-Time Integrations — Receive webhooks from Shopify, process orders, check inventory via an API, and send confirmations via SMS. All visual, all automatic.

Data Pipelines — Extract data from databases, transform it with code or built-in nodes, validate it, and load it somewhere else. Watch it all execute in real-time.

Key Features

Drag-and-Drop Builder

No code required. Just drag nodes onto the canvas, connect them, and configure each one. The visual approach makes workflows easy to understand and modify.

50+ Built-in Nodes

From HTTP requests and database queries to approvals and AI integration. Each node does one thing really well.

183+ Enterprise Operations

Connect to Salesforce, Slack, Shopify, AWS, Azure, HubSpot, and 8+ more platforms. Pre-built connectors mean you're up and running in minutes.

AI Integration

Native support for OpenAI, Claude, Gemini, and Ollama. Ask the AI to summarize, categorize, generate, or make decisions—right inside your workflow.

Real-Time Collaboration

Work with your team simultaneously. See their cursors move, watch them edit, and keep everything in sync.

Enterprise-Ready

From a single Docker container to multi-region Kubernetes deployments. Built for scale with monitoring, auto-recovery, and audit logs.

How It Works: Visual Overview

Here's how a typical workflow executes:

┌──────────┐
│  Start   │ ◄── Triggered manually, on schedule, or via webhook
└─────┬────┘
      │
      ▼
┌──────────────────┐
│ HTTP Request     │ ◄── Fetch data from an API
│ (Get GitHub User)│
└─────┬────────────┘
      │
      ▼
┌──────────────────┐
│ Transform        │ ◄── Extract and reshape the data
│ (Get Name)       │
└─────┬────────────┘
      │
      ▼
┌──────────────────┐
│ Log              │ ◄── Log the result (or send Slack message)
│ (Print Output)   │
└──────────────────┘

Each node passes its output to the next node. You use expressions like {{ http_request_1.response.body.name }} to reference data from previous steps.

Core Concepts (Quick Overview)

Workflows are sequences of connected nodes. Each workflow can be triggered manually, on a schedule, or by a webhook.

Nodes are the building blocks. An HTTP Request node fetches data. A Transform node reshapes it. A Log node outputs it. Connect them together to build something great.

Expressions use {{ }} syntax to reference data. {{ previous_node.output }} gets the previous node's result. {{ workflow.input.user_id }} gets workflow input data.

Connectors are pre-built nodes that talk to external services like Slack or Salesforce. No authentication headaches—just configure once and reuse.

Note: Don't worry if these terms feel unfamiliar. We explain them in detail in Core Concepts.

Who Should Use DeepChain?

Product Managers — Build approval workflows and automated reporting without asking engineers.

Business Analysts — Create data pipelines and sync logic between systems. Watch it execute automatically.

Developers — Extend DeepChain with custom nodes. Integrate it into your product with the REST API.

DevOps Engineers — Deploy to AWS, GCP, or self-hosted. Monitor, scale, and maintain production workflows.

Anyone Building Integrations — If you've ever wasted a day wrestling with APIs or building Zapier recipes, DeepChain is for you.

Deployment Options

Local Development

Start with Docker Compose on your laptop. Full feature parity with production.

Self-Hosted

Run on your own infrastructure. Docker Compose for small teams, Kubernetes for scale.

Cloud Platforms

Deploy to AWS (ECS, Lambda, S3), Google Cloud (Cloud Run), or Azure (Container Instances).

Tip: All deployment options are fully supported. Pick the one that fits your infrastructure.

What You'll Learn

This documentation walks you through:

  1. Installation — Get DeepChain running (10 minutes)
  2. Quick Start — Build your first workflow (5 minutes)
  3. Core Concepts — Understand the fundamentals (15 minutes)
  4. Node Reference — Explore all 50+ nodes
  5. Connectors — Integrate with external services
  6. Deployment — Run workflows in production

System Requirements

Minimum (Local Development)

  • Docker 20.10+
  • Docker Compose 2.0+
  • 4GB RAM
  • 5GB disk space

Recommended (Professional Use)

  • 8GB+ RAM
  • 20GB+ disk space
  • Kubernetes (for scaling)

Optional (For Development)

  • Dart SDK 3.0+
  • Flutter SDK 3.8+ (if you're customizing the UI)
  • Node.js 18+ (for SDK tooling)

Next Steps

Ready to get started?

Install DeepChain → — Set up locally in 10 minutes.

Build Your First Workflow → — Complete the 5-minute tutorial.

Learn Core Concepts → — Understand how everything fits together.