EdgeBrain — A Complete Edge AI Platform That Runs 100% Locally (Open Source)

What if you could run a full AI-powered smart home system without any cloud dependency?

That's exactly what EdgeBrain does. It's an open-source edge AI platform that simulates, processes, and acts on IoT sensor data — all locally, all free.

Why Edge AI Matters

Cloud AI has problems:

• Latency — round-trips to the cloud add 200-500ms
• Privacy — your smart home data sent to third parties
• Cost — API calls add up fast
• Offline — no internet = no intelligence

EdgeBrain solves all of these by running everything on your local machine.

What It Does

• 11 Simulated IoT Devices — temperature, motion, energy, humidity, light sensors across 3 rooms
• Multi-Agent AI System — Data Agent → Decision Agent → Action Agent pipeline
• 3 Decision Strategies — Threshold Rules (with hysteresis), Anomaly Detection (Z-Score + IQR + Gradient), No-Motion Timeout
• Predictive Analytics — Linear regression forecasting, moving averages, anomaly scoring
• Real-Time Dashboard — 5-page React dashboard with live charts, device states, agent pipeline visualization
• MQTT + WebSocket — Full IoT communication stack
• Docker Compose — 6 services, one command to start everything

Quick Start

git clone https://github.com/rudra496/EdgeBrain.git
cd EdgeBrain
docker compose up --build -d
# Open http://localhost:3000

Architecture

The system uses a clean multi-agent pipeline:

Sensor → MQTT → Data Agent → Decision Agent → Action Agent → Alert/Command

Each agent has its own metrics, error handling, and performance tracking. The decision engine uses a plugin architecture — just implement the DecisionStrategy interface and register it.

Tech Stack

Who Is This For?

• IoT developers wanting a complete smart home template
• Edge AI researchers testing decision strategies
• Students learning about multi-agent systems
• Anyone who wants AI without the cloud

GitHub: github.com/rudra496/EdgeBrain

If you're into edge computing or IoT, give it a star!

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Built by Rudra Sarker — MIT License

What's New — October 2026

• EdgeBrain now carries a Zenodo DOI: 10.5281/zenodo.22118683
• Framing sharpened: autonomous real-world decision systems that run locally — no paid APIs anywhere in the loop
• Repo: https://github.com/rudra496/EdgeBrain — clone-and-run in under 2 minutes