Crucix

Normal
GitHub JavaScript AGPL-3.0

Description

Crucix is a personal intelligence agent that watches the world from multiple data sources and pings you when something changes, helping you stay on top of information in real time.

Key Features

  • Aggregates 27 OSINT sources: satellite fire data, flight tracking, radiation monitoring, and more
  • Jarvis-style 3D WebGL dashboard with globe, flat map, and animated flight corridors
  • LLM integration for two-way intelligence assistant with Telegram and Discord alerts
  • Auto-refreshes every 15 minutes with sweep delta showing new signals and escalations
  • Cross-source correlation across satellite, economic, conflict, and social domains
  • Zero cloud, zero telemetry — fully self-hosted with just Express as dependency

Use Cases

💡 Monitor global geopolitical events and conflict zones in real-time
💡 Track satellite fire detections and natural disaster activity
💡 Analyze economic indicators, market data, and supply chain risks
💡 Receive automated intelligence briefings via Telegram or Discord
💡 Conduct OSINT research with correlated cross-domain data feeds

Strengths & Limitations

Strengths

  • High community interest (11.4k stars)
  • Responsive to issues, low backlog

⚠️ Limitations

  • Restrictive license (AGPL-3.0)

Quick Start

git clone https://github.com/calesthio/Crucix.git → cd Crucix → npm install → cp .env.example .env (add API keys) → npm run dev → open http://localhost:3117

Related Projects

DeepCamera

3.0k · JavaScript
Normal A

Open-Source AI Camera Skills Platform, AI NVR & CCTV Surveillance. LLM-powered agentic security camera agent with pluggable AI skills. Runs on Mac Mini & AI PC.

javascriptagenttools +3
  • · VLM scene analysis and object detection running locally with Qwen, DeepSeek, SmolVLM
  • · 19+ pluggable AI skills across detection, segmentation, annotation, and training
  • · Auto-detection of GPU/NPU/CPU hardware with TensorRT, CoreML, OpenVINO acceleration

OpenShell

8.2k · Rust
Active A

OpenShell is the safe, private runtime for autonomous AI agents, developed by NVIDIA. Provides controlled execution environments and resource management.

rustagentframework +2
  • · Sandboxed execution environments protecting data, credentials, and infrastructure with declarative YAML policies
  • · Four defense-in-depth layers: filesystem, network, process, and inference policy enforcement
  • · Hot-reloadable network and inference policies via `openshell policy set` without restarting sandboxes

Agents Towards Production

21.3k · Jupyter Notebook
Active A+

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

agentframeworkevaluation +2
  • · 28 production-grade tutorials — Covering stateful workflows, vector memory, web search APIs and more
  • · End-to-end coverage — From Docker deployment, FastAPI endpoints to security guardrails and GPU scaling
  • · Multi-agent coordination — Teaching multi-Agent collaboration architecture design and implementation