BigBodyCobain / Shadowbroker

2026-03-05 · Source: Github Trending: All languages · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Cybersecurity & Data Privacy · Depth: Intermediate, extended

Summary

ShadowBroker is a decentralized, open-source intelligence platform that aggregates real-time, multi-domain OSINT telemetry from over 60 live intelligence feeds into a single dark-ops map interface. Built with Next.js, MapLibre GL, FastAPI, and Python, it offers 35+ toggleable data layers, including SAR ground-change detection, and multiple visual modes like FLIR and NVG. The platform tracks aircraft, ships, satellites, conflict zones, CCTV networks, GPS jamming, and internet-connected devices, providing country dossiers and Sentinel-2 satellite photos on demand. Version 0.9.7 introduces InfoNet, an experimental decentralized intelligence mesh with governance features, an agentic AI command channel for compatible AI agents like OpenClaw, and a Time Machine for snapshot playback. It emphasizes no user data collection, running locally against a self-hosted backend, and requires API keys for certain enhanced data streams like OpenSky Network and Shodan.

Key takeaway

For intelligence analysts or researchers seeking a unified view of global public data, ShadowBroker offers a powerful, customizable platform. You should consider deploying it via Docker to aggregate real-time feeds, leveraging its AI agent command channel for automated analysis, and exploring its SAR capabilities for ground-change detection. Be aware that InfoNet's experimental testnet currently offers no privacy guarantee for sensitive communications.

Key insights

ShadowBroker unifies diverse public intelligence feeds into a real-time, interactive geospatial platform with AI agent integration.

Principles

• Aggregate public data for comprehensive situational awareness.
• Prioritize local execution and user data privacy.
• Enable AI agents as collaborative intelligence analysts.

Method

ShadowBroker aggregates 60+ OSINT feeds via a FastAPI backend, processes them, and renders them on a Next.js/MapLibre GL frontend. It uses Docker for deployment and offers an HMAC-signed AI command channel for agent interaction.

In practice

• Deploy ShadowBroker via Docker for a self-hosted OSINT dashboard.
• Integrate an AI agent using the HMAC-signed command channel.
• Utilize SAR ground-change detection for anomaly monitoring.

Topics

• Open-Source Intelligence
• Geospatial Intelligence Platform
• Real-time Data Aggregation
• Agentic AI Command Channel
• InfoNet Mesh Network

Code references

• bigbodycobain/Shadowbroker
• BigBodyCobain/Shadowbroker
• Ringmast4r/Data-Center-Map---Global
• BigBodyCobain/Shadowbroker
• jvde-github/AIS-catcher

Best for: AI Engineer, Software Engineer, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Github Trending: All languages.