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koala73/worldmonitor v2.11.1 — real-time global information dashboard

Introduces the real-time news aggregation, geopolitical monitoring, and infrastructure tracking features of koala73/worldmonitor, along with the ways it can be used.

Repositorykoala73/worldmonitor ↗

Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface

stars
★ 88.8K
Forks
13.6K
Language
TypeScript
License
AGPL-3.0
Latest release
v2.11.1
Read original source ↗View on GitHub ↗

koala73/worldmonitor is a real-time global information dashboard that combines AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking. The latest release confirmed in the provided FACTS is v2.11.1. However, the source contains no list of changes for that version, so there is no way to confirm what was newly added or fixed in this release. It is therefore necessary to read the version information separately from the project's features.

The project does more than collect news, and is structured so that geopolitical situations and infrastructure information are examined alongside it. There are world, tech, finance, commodity, happy, and energy variants, usable as a web app, a desktop app, and a terminal dashboard. It also provides a command-line tool and an MCP server, and its Python, Ruby, and Go SDKs let other programs connect to those capabilities. An MCP server is the interface a model uses to reach external tools or materials. The implementation language is TypeScript and the license is AGPL-3.0. Having several access paths means the dashboard features can be used across different environments.

The scope of the evidence is limited. In the provided scores, momentum is 10.0, but no innovation, technology, or quality scores are given. Performance measurements and real deployment cases are not in this material either. So while the features and access paths can be described, the accuracy of the information and the operational performance cannot be regarded as proven. There is likewise no separate record of the specific changes in v2.11.1, leaving insufficient basis to judge the effect of this update.