Open Source · GPLv3+

Decentralized Automation & Orchestration

Distributed management and orchestration through RESTful mesh networking with a flair of IoT. No master nodes. No single point of failure. No vendor lock-in.

~/ terminal
$ |
Get Started View on GitHub
100% Open Source
0 Master Nodes
7-Layer Security
Python Powered
// CAPABILITIES

Built for the Decentralized Future

Dimensigon eliminates single points of failure with a true peer-to-peer mesh architecture. Every node is equal. Every node is autonomous.

Polyglot Orchestration

Technology-agnostic automation. Define workflows in Shell, Python scripts launched through Shell, HTTP/REST calls, or compose nested orchestrations. One platform, every language.

Shell Python HTTP/REST Nested
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Mesh Networking

True peer-to-peer decentralized communication. No master/slave architecture. Every node discovers routes dynamically, forming a self-healing mesh topology with zero configuration.

P2P Self-Healing No SPOF
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Distributed Vault

Securely store and distribute secrets, credentials, and configuration across your entire cluster. Encrypted at rest and in transit with Fernet symmetric encryption.

Fernet Encrypted Distributed
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RESTful API

Full-featured REST API (v1.0 & v2.0) makes integration effortless. Manage servers, orchestrations, executions, vault entries, users, and files programmatically.

API v1.0 API v2.0 JSON Schema
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Double Encryption

7-layer security model. SSL/TLS for transport plus Fernet symmetric encryption at the message level. Every communication is encrypted twice. Trust nothing architecture.

SSL/TLS Fernet 7-Layer
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Log Federation

Aggregate and query logs from every node in your cluster from a single point. Federated logging gives you complete visibility without centralized infrastructure.

Centralized View All Nodes
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Granular ACLs

Fine-grained, group-based access control powered by JWT authentication. 15-minute access tokens, 30-day refresh tokens. Control who can execute what, where.

JWT Groups RBAC
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Distributed Locking

Quorum-based consensus ensures safe concurrent operations across the cluster. Prevent race conditions and coordinate distributed workflows with confidence.

Quorum Consensus Safe
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Explore All Features →
// ARCHITECTURE

Layered. Decentralized. Resilient.

A clean separation of concerns across 7 architectural layers, designed for enterprise-grade distributed system management.

01

User Interfaces

Web GUI (DM-WebManager) · CLI (DShell) · REST API

02

API Layer

Flask Blueprints · JSON Schema Validation · JWT Auth

03

Business Logic

Orchestration Engine · Catalog Sync · Routing · Locking

04

Domain Layer

20+ Entity Models · Distributed & Local Entities · DAG Workflows

05

Data Access

SQLAlchemy ORM · SQLite WAL Mode · Custom Types

06

Network & Communication

Mesh Topology · Route Discovery · Double Encryption

07

Background Workers

Async Tasks · Heartbeat · Catalog Sync · File Distribution

Distributed Entities

Replicated across every node in the cluster via catalog synchronization. Eventual consistency with last-write-wins conflict resolution.

  • Orchestrations & Steps
  • Servers & Gates
  • Routes & Users
  • Vault & Files
  • Action Templates

Local Entities

Node-specific data that stays local. Execution history, logs, and state that belongs to the individual node.

  • Execution Records
  • Federated Logs
  • File Transfers
  • Lock State
  • Parameters
// WORKFLOW

How Dimensigon Works

01

Create a Dimension

Bootstrap a new dimension (cluster) with a single command. The first node initializes the mesh and generates join tokens.

dimensigon new my-cluster
02

Join Nodes

Add servers to the mesh. Each node joins as an equal peer — no masters, no slaves. Routes are discovered automatically.

dimensigon join LAB_MASTER_IP LAB_JOIN_TOKEN
03

Define Orchestrations

Create multi-step workflows with dependency graphs (DAGs). Steps execute in parallel where possible with automatic rollback on failure.

POST /api/v1.0/orchestrations
04

Execute & Monitor

Run orchestrations across any combination of nodes. Monitor execution in real-time via the web dashboard or API.

POST /api/v1.0/launch
// QUICK START

Up and Running in Minutes

Installation via pip 
# Download the pinned lab requirements linked in the tutorial first.
# Install into your activated Python 3.9 lab environment.
$ pip install -r product-requirements.txt

# Create a new dimension
$ dimensigon new my-dimension

# Start the server
$ dimensigon

# Generate a join token for other nodes
$ dimensigon token --expire-time 60

# On another machine, join the cluster
$ dimensigon join LAB_MASTER_IP LAB_JOIN_TOKEN
Docker Deployment 
# Clone the repository
$ git clone https://github.com/dimensigon/dimensigon.git
$ cd dimensigon

# Configure environment
$ cp .env.example .env

# Launch with Docker Compose
$ docker compose -f docker-compose.production.yml up -d

# Check status
$ docker compose -f docker-compose.production.yml logs -f dimensigon
Build from Source 
# Clone and install
$ git clone https://github.com/dimensigon/dimensigon.git
$ cd dimensigon
$ pip install -e .

# Initialize your dimension
$ dimensigon new production-cluster

# Run with debug logging
$ dimensigon --debug

# Access the dashboard
# https://localhost:20194/dm-webmanager/dashboard
// TECHNOLOGY

Powered by Proven Technology

Python 3.9 (documentation test baseline) Language
Flask Web Framework
SQLAlchemy ORM
SQLite (WAL) Database
Gunicorn WSGI Server
cryptography Encryption
aiohttp Async HTTP
JWT Authentication
Docker Container
RestrictedPython Optional runtime dependency

Ready to Decentralize?

Join the mesh. No masters. No single points of failure. Just pure, distributed automation.

Star on GitHub Quick Start Guide

Evaluate a workflow

Bring a synthetic workflow and its target environment. Request a demo relevant to your orchestration needs.

Request a workflow evaluation