🌐Weekly News Digest [ January 5 – January 11 ]
That was the first full-fledged week of the new year of 2026, during which rulers forgave those who polluted their land, dismissed those who were managing their oil.
💡Here are the key highlights:
🇧🇼 Botswana
— Botswana Invites Russia to Invest in Its Mining Sector
🇨🇩 DR Congo
— Congolese clergy speaks against the US-DRC agreement.
— The government allows processing units to accept ore from artisanal miners amid protests
🇬🇶 Equatorial Guinea
— Equatorial Guinea moves its capital to a brand new city built on oil revenues
🇬🇭 Ghana
— A Ghanaian prophet predicts the discovery of major onshore oil deposits in Ghana
— Ghana hopes to keep its oil fields viable until 2040
🇲🇱 Mali
— JNIM militants attack a gold mine in southeastern Mali
🇳🇪 Niger
— Niger replaces its oil minister
🇳🇬 Nigeria
— President reshuffles the country's oil sector management
🇸🇩 Sudan
— Sudan’s central bank and Sudanese Mineral Resources Company set up a joint commission to curb illegal gold exports.
🇺🇬 Uganda
— Uganda to start its first oil exports by October, despite environmental concerns
🇿🇲 Zambia
— First report on the toxic pollution caused by a Chinese company designates 160 people as victims
— Zambia is concerned over the safety of its workers in southern DRC
#NewsDigest
➡️ Follow to stay informed - @devilsbelow
#python#agents#graph#llms#rag
Graphiti helps AI systems handle constantly changing information by building real-time knowledge graphs that track relationships and historical data, allowing them to integrate user interactions, business data, and external sources seamlessly. Unlike traditional methods, it updates information instantly without needing full recomputations, enabling precise historical queries and efficient hybrid searches. This helps AI applications stay context-aware, automate tasks effectively, and manage complex, evolving data with minimal delay.
https://github.com/getzep/graphiti
#typescript#csv#diagrams#graph#json#nextjs#react#tool#visualization#yaml
JSON Crack is a free, open-source tool that instantly turns complex JSON, YAML, CSV, XML, or TOML data into clear, interactive graphs, making it easier to explore and understand your information. It lets you convert between formats, validate data, generate code (like TypeScript interfaces), run queries, and export visuals as images—all while keeping your data private since everything processes locally on your device[1][2][5].
https://github.com/AykutSarac/jsoncrack.com
#cplusplus#arduino#cansat#csv#embedded#graph#ground_station#iot#microcontroller#network#projects#qt#serial#serial_studio
Serial Studio is a free, easy-to-use tool that lets you visualize real-time data from devices like microcontrollers via serial ports, Bluetooth, or network connections. It works on Windows, macOS, and Linux, and offers customizable dashboards with various widgets to monitor sensor data, debug info, or telemetry. You can quickly plot data, export it as CSV for analysis, and even use advanced features like checksum validation and JavaScript data processing. It supports hobbyists, educators, and professionals by simplifying data monitoring and debugging, saving you time and effort in understanding your device’s output. Pro versions add commercial use and extra features[1][4][5].
https://github.com/Serial-Studio/Serial-Studio
#rust#ai#ai_ocr#attention_mechanism#gnn#gnn_model#gnns#graph#graph_neural_networks#llm_inference#low_latency#mincut#neo4j#ocr#onnx#rust#vector#wasm
RuVector is a free, open-source vector database that gets smarter with every query. Unlike static databases, it learns from usage via GNN layers, runs LLMs locally with no cloud costs, supports graph queries like Neo4j, scales freely across nodes, and deploys as a single self-booting file (125ms startup). Run with `npx ruvector`. You benefit from faster, more accurate AI search that improves automatically, zero operating costs, full offline/privacy control, and easy scaling—perfect for RAG, agents, or edge apps without vendor lock-in.
https://github.com/ruvnet/ruvector