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Iot Dc3
IoT DC3 — Connect the Physical World to AI. An open-source Industrial IoT Runtime for Physical AI: 36 protocol drivers, edge-to-cloud data delivery, and an MCP tool gateway so…
Install
$
git clone https://github.com/pnoker/iot-dc3Install command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →English | 中文 | 日本語 | Tiếng Việt | 한국어 | Español | Русский
AI assistants: Read README.ai.md first for a concise, AI-friendly overview of IoT DC3.
🔌 Multi-protocol connectivity · 🤖 MCP tool gateway · ☁️ Cloud-native microservices
📸 Product Preview
<strong>Home / Dashboard</strong>
<em>System overview · Online device metrics · Data trend charts</em>
</td>
<td align="center">
<strong>Device Management</strong>
<em>Device list · Online status · Search and filtering</em>
</td>
<td align="center">
<strong>AI Agent Assistant</strong>
<em>Natural-language device queries · Data insights · Governed execution</em>
</td>
🏗️ Architecture Overview
Architecture at a Glance
Six-layer microservice architecture at a glance: clients → gateway → four center services → message bus → 36 protocol drivers → field devices. PostgreSQL (TimescaleDB + pgvector + AGE) persistence and optional observability stack (ELK + Prometheus + Grafana) laid out in one view.
🧱 Design principles — cross-service calls always go through Facade interfaces; the DO/BO/VO three-tier model keeps persistence, business, and API shapes strictly separated; and tenant isolation runs end to end across database, cache, and API paths. Clear boundaries that scale across services and teams.
📖 For the full architecture documentation, see System Architecture Overview.
✨ Core Features
🔌 Multi-Protocol Device Connectivity
IoT DC3 includes 36 access driver modules for industrial automation, IoT communication, data bridging, basic communication, and simulation/debugging scenarios, reducing the cost of connecting common devices and data sources:
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