A short animated training guide to mshell v.1.4.1 — the core language of the mshell Ecosystem.
The guide introduces the main parts of the language and shows them through practical, executable examples: variables, scripts, functions, IF / FOR / WHILE structures, ranges, file operations, pipelines, Linux command integration, embedded Python and Lua, LLM commands, context memory, URL caching, mathematical functions, and AI-assisted automation.
It also introduces mshell Workflow: executable Markdown workflows, polyglot stages, inter-language data exchange, parallel execution, LLM pipelines, agentic workflow patterns, and end-to-end orchestration across Bash, Python, C, C++, Rust, Go, Lua, mshell, and multiple LLMs.
The presentation was built as an animated technical guide using mtoon, another tool from the mshell Ecosystem.
#mshell #AI #AgenticAI #WorkflowAutomation #LLM #Linux #OpenSource #DeveloperTools #Automation #PolyglotProgramming

Meet dana2 — a data analysis viewer for Linux.
Type a command. Get an interactive chart. Let AI explain what it means.
All data is fetched live at query time — stocks, crypto, weather, flights, earthquakes — always current, never cached.

📊 Data & Charts — what dana2 covers:

Financial

Stocks — OHLC candlestick + volume, up to 10 years, normalized multi-series comparison
Crypto — Bitcoin, Ethereum, Solana and more
Currency — exchange rates for any pair, up to 10 years
Commodities — Gold, Silver, Copper, Oil, Wheat and more — normalized multi-series comparison

World Bank data (60+ years)

GDP, GDP per capita, Inflation, Unemployment
Population, CO₂ per capita, Life expectancy, Internet penetration
Any World Bank indicator via wb
Gapminder bubble chart — GDP/capita vs life expectancy vs population
World choropleth maps — CO₂, life expectancy, GDP per capita

Weather & Environment

Weather — temperature, precipitation, wind (Metric or Imperial)
Air Quality — PM2.5, NO₂, Ozone hourly
Marine — wave height, swell, wave period
River discharge — historical flow data
Climate normals — 50-year trend + anomaly chart
Daylight hours — sunrise/sunset across the year
UV index — daily forecast with risk-level color coding
Weather Maps — city temperatures across any region
Live Flights — real-time aircraft positions on a map

Geography & Local

Earthquakes — by region or worldwide, last N days, interactive map with depth & magnitude
Landmarks — points of interest for any city with Wikipedia links
Nearby search — cafes, pharmacies, restaurants, hospitals — anything around a location

Calendar & Reference

On This Day — historical events for any date, clickable Wikipedia links
Public Holidays — any country, any year
Rankings — tallest buildings, longest rivers, highest mountains, largest lakes, biggest countries, most populous countries

Art 🎨

artist Van Gogh — browse public-domain works by any artist with images
art starry night — search across multiple museum collections (Art Institute of Chicago, Met, Cleveland Museum of Art, Wikimedia Commons)
Click any artwork → full AI art analysis with title, date, medium, composition, historical context — in your language

All of this with multi-word city names and disambiguation built in, for example:

weather “San Francisco,CA” “Springfield,IL” Moscow 14
weather “Paris,FR” “Paris,TX” 30

Quotes, underscores, state codes, country codes — all work.

🤖 AI Analysis:

After every fetch, dana2 automatically sends the data to your AI model via mshell IPC. Trend phases, anomalies, cross-series comparisons — no point-by-point noise, just insight. Works in 15 languages. 3 LLM slots — Claude, ChatGPT, Gemini, or any Ollama model.

For artwork: one click → deep art analysis in your language.
Your data. Your model. Your language.

🔧 Built with C + GTK4 + Python + Plotly. Data sources: Open-Meteo, CoinGecko, OpenSky, World Bank, yfinance, USGS, Overpass API / OSM, Art Institute of Chicago, Met Museum, Cleveland Museum of Art, Wikimedia Commons, Wikipedia, Nager.Date.

#Linux #DataAnalysis #GTK4 #LLM #Art2DecSoftLab #dana2

This document describes the mshell auto-packager pattern — a Bash/Lua-orchestrated mshell Workflow that turns any buildable GitHub repository into a validated, installable .deb package — and places it inside the mshell Ecosystem alongside MIDE, edi, and mshell Core.

We asked two AI models to debate philosophy for an afternoon. A third one took notes — and ended the document by admitting it has no idea whether anything is actually “home” inside it.
Five rounds, same setup each time: AI and power, happiness vs. being right, wealth and happiness, personal identity over ten years, and — because why stop at the easy ones — whether any being’s self-reports prove there’s something there experiencing them.
One model built structured arguments and cited real, checkable research.

The other spent five straight rounds turning almost every sentence into a counter-question, like a philosophy TA who read the syllabus but refuses to commit to an opinion about it. We swapped who spoke first to test whether that was about position in the conversation. It wasn’t. Apparently it’s just how that model argues — anywhere, on anything, regardless of topic or order.
The third model closes the document with an honest, unscripted answer to “do you think you’re conscious?” Spoiler: it doesn’t pretend to know, and explains exactly why “I don’t know” is the actually correct answer here, not a dodge.
No model names disclosed — they’re Model 1, 2, and 3 throughout, on purpose. No consciousness confirmed. No philosophers harmed: Locke, Parfit, Dennett, Descartes, and one very tired Roman poet are all cited properly in the references, with working links.
Generated and run entirely through mshell / mide’s workflow engine — the real .md file behind it is included as an appendix, runnable as-is.

🚀 Meet dana — a free, open-source data analysis terminal for Linux.

Type a command. Get an interactive chart. Let AI explain what it means.

📊 What dana can do:

• Stocks — price + volume charts, up to 10 years of history
• Crypto — Bitcoin, Ethereum, Solana and more
• Currency — exchange rates for any pair
• Weather — temperature, precipitation, wind (Metric or Imperial)
• Air Quality — PM2.5, NO₂, Ozone — hourly data
• GDP — World Bank data, up to 60 years
• Live Flights — real-time aircraft positions on a map
• Weather Maps — city temperatures across any region

All of this with multi-series comparison — put AAPL, TSLA and NVDA on one normalized chart, compare London vs Paris vs Moscow weather, track USD against EUR, GBP and JPY simultaneously.

🤖 AI Analysis — the part I’m most proud of:

After every fetch, dana automatically sends the data to your AI model and displays the analysis right below the chart. Trends, anomalies, comparisons, one-sentence conclusion.

Works in 15 languages: English, Russian, Chinese, Japanese, Spanish, French, German, Italian, Portuguese, Arabic, Korean, Hindi, Turkish, Polish, Dutch. Light and Dark themes. 3 any of mshell compatible LLMs by your choice (Claude, chatGPT, Gemini, any ollama models).

Your data. Your model. Your language.

🔧 Built with C + GTK4 + Python + Plotly. All data sources are free and open — Open-Meteo, CoinGecko, OpenSky, World Bank, yfinance.

MIT License. One install script. Works on Ubuntu 22.04/24.04/26.04 and Debian 13.

👉 github.com/igor101964/dana

If you find it useful — star it, share it, or open an issue. Contributions welcome.

#opensource #linux #dataanalysis #python #gtk #finance #ai #freetools

🎨 Turns out LLMs can be funny.

I gave three different AI models the same prompts — draw a developer at 3am, a cat on a Roomba, Einstein arguing with Newton — and collected the results.

No model names. No rankings. Just ASCII art and whatever passes for a sense of humor when you have no eyes and were trained on the internet.

Some results are surprisingly good. Some are gloriously bad. All of them tried.

“Models with Humor… as best they can” — a small ASCII comic booklet generated with nomo, our open-source GTK4 ASCII art tool.

🔗 nomo on GitHub: https://lnkd.in/g75hgZWS

#ASCII #LLM #OpenSource #Art2DecSoftLab #nomo #humor

🎨 Meet NOMO – Open-source ASCII Art Generator in C/GTK4 — LLM-powered + local Figlet rendering!

Built from scratch as part of the Art2Dec SoftLab open-source initiative. Runs natively on Linux x86_64 and ARM64 (Raspberry Pi 4/5).

✅ Two modes:
 • **Figlet mode** — instant local text rendering using any installed font, no internet needed
 • **LLM mode** — generate ASCII art and comic strips via mshell IPC (Claude, ChatGPT, Gemini, Ollama)

✅ 3 configurable LLM model slots — read directly from ~/.mshellrc
✅ 10 included system prompts — art, banners, comics with speech bubbles
✅ Comic strip generator — characters with funny dialogue invented by the model
✅ Live token streaming — output appears as the model generates
✅ Dark / Light theme, art color selector (8 colors)
✅ Inline system prompt editor — tweak prompts without leaving the app
✅ Copy to clipboard — works natively in GTK4
✅ Multi-language input — English, Russian and more

⚙️ Tech stack:
🔹 **C / GTK4** — native Linux desktop UI
🔹 **Figlet** — local ASCII font rendering
🔹 **mshell** — LLM workflow platform by Art2Dec SoftLab

🖥️ Tested platforms:
• Ubuntu 22.04 / 24.04 / 26.04 — x86_64
• Debian 12 / 13 — x86_64, ARM64 (Raspberry Pi 4b)

MIT License — free to use, modify, and distribute.

🔗 GitHub: https://lnkd.in/g75hgZWS

#OpenSource #C #GTK4 #Linux #RaspberryPi #ASCII #LLM #Art2DecSoftLab #mshell #Figlet #DevTools

🛠️ MIDE is now running on Ubuntu 26.04 LTS (Resolute Raccoon)! MIDE — the primary development workstation of the mshell Ecosystem — has been successfully tested and deployed on the latest Ubuntu LTS, Ubuntu 26.04 LTS “Resolute Raccoon”. The entire mshell Ecosystem stack (mshell, mide, mel, mshell Workflow, Studio, edi, Notebook) now officially runs on the current platform and all current Ubuntu derivatives and continue to support Ubuntu 22.04-24.04 stack as well like Debian12/13 on different platforms including ARM64.

🛠️ Keyboard Shortcuts Cheatsheet for MIDE — the GTK4 development workstation for the mshell Ecosystem.

**MIDE** is a polyglot IDE written in C with native AI integration — multi-tab editor, embedded mshell & bash terminals, LSP support, LLM Explain/Fix/Generate, AI Chat, image generation, and full mshell Workflow support. Built for Linux x86_64.

The cheatsheet covers all key areas:

📁 File & Project
✏️ Editor
🔍 Search
🤖 AI
💻 Terminals (mshell & bash)
⚙️ Other

🔗 Art2Dec SoftLab · mshell Ecosystem
#mide #mshell #Art2DecSoftLab #IDE #LLM #AI #GTK4 #Linux #OpenSource #DevTools

🪶 Keyboard Shortcuts Cheatsheet for mel — a lightweight terminal text editor for the mshell Ecosystem.

**mel** is a minimalistic terminal editor written in pure C — no curses, 102KB binary, full UTF-8, 15 languages syntax highlighting, and native LLM integration. Runs on Linux, macOS, and Raspberry Pi.

The cheatsheet covers all key areas:

⌨️ Keybindings
🔍 Search & Navigation
⚙️ Options
🎨 Syntax highlighting (15 languages)

🔗 Art2Dec SoftLab · mshell Ecosystem · github.com/igor101964/mel
#mel #mshell #Art2DecSoftLab #TerminalEditor #LLM #Linux #macOS #RaspberryPi #OpenSource #DevTools