| # SynapseOS: Potato-Grade Linux Distro & 7-Lab Native AI Workbench |
|
|
| - **Base OS**: Debian 12 Bookworm (`minbase`, `x86_64`) + Xorg + Openbox + Tint2 + `tty1` autologin (`242 MB` live idle RAM). |
| - **Synapse Studio & Synapse Kids Arcade**: Native GTK3 + Cairo 60 FPS AI Workbench (`62.9 MB` full runtime RSS, `3.27 ms/frame` at `1280x720`, `0 KB` texture bloat, `0.09s` cold start) featuring: |
| - **Full-Screen `Synapse Kids` Mode** ([`workbench/kid_arcade_view.py`](file:///home/phil/.gemini/antigravity/scratch/synapse-os/workbench/kid_arcade_view.py)): Gamified Scratch-style classroom UI with 1-click **`L1`–`L7` Level Selector Pills**, interactive canvas clicks across all 7 levels, `NEAT Moon Lander` solar panels/callouts & Lunar Landing Pad touchdown physics, live swirling 2D `Color Sorter Brain`, waving `Cortex-Phi3` Robot Mascot + Speech Bubble, live mission checkboxes, 3-star scoring, and 1-click **English / French (`EN ▸ FR`)** toggle. |
| - **`⚙ Teacher / Pro Workstation Mode`** ([`workbench/studio_gui.py`](file:///home/phil/.gemini/antigravity/scratch/synapse-os/workbench/studio_gui.py)): Full 3-column engineering interface with **35 curated Lab Examples (`5 per lab`)**, **14 Classroom Tutorials**, **Direct Structural Brain Surgery (`+ / - Neurons & Synapses`)**, live **FPS / PRIME C99 tok/s / Phi-3 tok/s & TTFT / RAM telemetry**, **60 FPS Animated Phi-3 + PRIME Brain Visualizer**, **General Chat Mode**, **Safe Linux Command Runner**, and **Encrypted Remote Browser Tunnel (`synapse-tunnel`)**. |
| - **Three-Tier Local AI Engine**: |
| 1. **Tier 1 (`0.68 ms`, `92 KB`)**: SQLite FTS5 BM25 offline knowledge base (`cortex_kb.sqlite`). |
| 2. **Tier 2 (`8,737 tok/s` on BC-250 / `6,738 tok/s` potato CPU, `262 KB` constant $\mathcal{O}(1)$ RAM, zero AVX2 required)**: Native C99 **PRIME Moment Sliding-Window Attention** engine (`libprime.so` / `prime-moment`, integrated from [`batteryphil/PRIME-Moment-Attention`](https://github.com/batteryphil/PRIME-Moment-Attention)). |
| 3. **Tier 3 (`24.8 tok/s` on AMD BC-250 / `11.6 tok/s` 4-core CPU, `2.2 GB`)**: Local `cortex-phi3:latest` (`Phi-3-Mini-4K-Instruct` `Q4_K_M`, `num_ctx=1024`). |
|
|
| --- |
|
|
| ## 1. Complete Tester Instructions: Download & Boot SynapseOS (`Full 2.6 GB LLM ISO` or `437 MB Lite ISO`) |
|
|
| - **1-Click Single-File Full 2.6 GB LLM `.iso` Download (Hugging Face — No Reassembly Needed)**: |
| 👉 **[`SynapseOS-Debian12-Potato-x86_64.iso` (2.6 GB Direct Download)](https://huggingface.co/datasets/batteryphil/SynapseOS/resolve/main/SynapseOS-Debian12-Potato-x86_64.iso)** | **[`Browse Hugging Face Repo`](https://huggingface.co/datasets/batteryphil/SynapseOS/tree/main)** | **[`SHA256 Checksum`](https://huggingface.co/datasets/batteryphil/SynapseOS/resolve/main/SynapseOS-Debian12-Potato-x86_64.iso.sha256)** |
| - **GitHub Release Page (`v1.0-k12`)**: |
| 👉 **[`https://github.com/batteryphil/SynapseOS/releases/tag/v1.0-k12`](https://github.com/batteryphil/SynapseOS/releases/tag/v1.0-k12)** |
|
|
| ### Option A: Linux / macOS — 1-Command Full LLM ISO Download & Boot (`2.6 GB`) |
| Includes **everything 100% offline**: Debian 12 + Openbox + the fine-tuned **`cortex-phi3:latest` LLM (`2.2 GB` GGUF)** + Ollama daemon + C99 `prime-moment` engine + 7 AI Labs + all **325 K–12 lessons** + offline `espeak-ng` Read-Aloud TTS. |
|
|
| ```bash |
| # 1. Clone the repository |
| git clone https://github.com/batteryphil/SynapseOS.git |
| cd SynapseOS |
| |
| # 2. Download, reassemble, verify SHA256, and boot in QEMU (4 GB RAM, 2 CPU Cores): |
| ./scripts/download_and_boot_full_iso.sh |
| |
| # Or download & verify the .iso file only (for VirtualBox, VMware, or flashing to USB): |
| ./scripts/download_and_boot_full_iso.sh --download |
| # Output file: output/SynapseOS-Debian12-Potato-x86_64.iso |
| ``` |
|
|
| ### Option B: Windows (PowerShell) — Download & Combine the Full 2.6 GB LLM ISO |
| Because GitHub Releases caps individual files at `2.0 GB`, the `2.6 GB` Full ISO is split into `part-aa` (`1.85 GB`) and `part-ab` (`706 MB`). Run this in **PowerShell** to download and join them into `SynapseOS-Debian12-Potato-x86_64.iso`: |
|
|
| ```powershell |
| # 1. Download both parts and checksum from GitHub Releases |
| curl.exe -L -O https://github.com/batteryphil/SynapseOS/releases/download/v1.0-k12/SynapseOS-Debian12-Potato-x86_64.iso.part-aa |
| curl.exe -L -O https://github.com/batteryphil/SynapseOS/releases/download/v1.0-k12/SynapseOS-Debian12-Potato-x86_64.iso.part-ab |
| curl.exe -L -O https://github.com/batteryphil/SynapseOS/releases/download/v1.0-k12/SynapseOS-Debian12-Potato-x86_64.iso.sha256 |
| |
| # 2. Combine into a single bootable .iso file (binary copy) |
| cmd /c "copy /b SynapseOS-Debian12-Potato-x86_64.iso.part-aa + SynapseOS-Debian12-Potato-x86_64.iso.part-ab SynapseOS-Debian12-Potato-x86_64.iso" |
| |
| # 3. Verify SHA256 hash matches SynapseOS-Debian12-Potato-x86_64.iso.sha256 |
| Get-FileHash .\SynapseOS-Debian12-Potato-x86_64.iso -Algorithm SHA256 |
| Get-Content .\SynapseOS-Debian12-Potato-x86_64.iso.sha256 |
| ``` |
|
|
| ### Option C: Boot in VirtualBox, VMware, or from a Physical USB Stick |
| 1. **VirtualBox / VMware / Proxmox**: |
| - Create a new Linux (`Debian 64-bit`) VM with **`4096 MB` (4 GB) RAM** and **`2` CPU Cores** (works down to `1` CPU core). No virtual hard disk is required. |
| - Attach `SynapseOS-Debian12-Potato-x86_64.iso` as the Optical CD/DVD drive and boot. |
| 2. **Flash to a Physical USB Drive (Boot on Any PC/Laptop)**: |
| - **Windows / macOS**: Use [BalenaEtcher](https://etcher.balena.io/) or [Rufus](https://rufus.ie/) (select *DD Image mode* if prompted) and flash `SynapseOS-Debian12-Potato-x86_64.iso`. |
| - **Linux**: |
| ```bash |
| sudo dd if=output/SynapseOS-Debian12-Potato-x86_64.iso of=/dev/sdX bs=4M status=progress oflag=sync |
| ``` |
| |
| ### Option D: Fast Lite ISO (`437 MB`, No LLM — Single File or In-Repo) |
| If you want a fast `437 MB` download without the `2.2 GB` LLM weights (still includes the C99 `prime-moment` engine, `cortex_kb.sqlite`, 7 AI Labs, and all 325 K–12 lessons): |
| - **Direct Single-File Download**: [`SynapseOS-Lite-x86_64.iso` (437 MB on GitHub Releases)](https://github.com/batteryphil/SynapseOS/releases/download/v1.0-k12/SynapseOS-Lite-x86_64.iso) |
| - **Or Decompress From Git Repo**: |
| ```bash |
| ./iso/decompress_iso.sh |
| qemu-system-x86_64 -enable-kvm -m 2048 -smp 2 -cdrom iso/SynapseOS-Lite-x86_64.iso |
| ``` |
|
|
| ### What Happens on Boot & Tester Checklist |
| - **Auto-Login**: Boots directly into X11 + Openbox (`~148 MB` idle OS RAM) as user `synapse` (password: `synapse`, passwordless `sudo`) and launches **Synapse Studio** automatically. |
| - **Synapse Kids Mode (Default View)**: |
| - Click **`L1`–`L7`** level pills at the top to play the 7 interactive AI simulations (`Moon Lander`, `Lidar Car`, `GridWorld`, `CartPole`, `Neural Net`, `Predator-Prey Swarm`, `PRIME Attention`). |
| - Click **`♪ Read`** (or click **Lumi the Robot**) to hear offline speech synthesis read the mission aloud. |
| - Click **`EN ▸ FR`** to toggle everything between English and French, or **`❖ Student ↻`** to switch student profiles. |
| - **Teacher / Pro Workstation & Full K–12 School Curriculum**: |
| - Click **`⚙ Teacher`** in the top-right corner to switch to the 3-column Pro/School Workstation. |
| - Open the **`🎓 School`** tab on the right: pick any grade from **Kindergarten (`Yr K`) to Grade 12 (`Yr 12`)** (`325` complete textbook lessons across Math, Science, ELA, History, and AI). |
| - Answer the multiple-choice check using the **`Quiz: [A] [B] [C] [D]`** bar at the bottom of the textbook reader, or click **`▶ Load Lab & Code`** to run and auto-grade the Python worksheet. |
| - Open the **`📋 Report`** tab and click **`✎ Export`** to generate a printable HTML + TXT K–12 Report Card & Honors Certificate. |
| - **Built-In Fine-Tuned `cortex-phi3` LLM + C99 `PRIME` Copilot**: |
| - Type any question into the **AI Copilot Chat** bar at the bottom of the window (or open a terminal and run `ollama run cortex-phi3` or `cortex ai "explain neuroevolution"`). |
|
|
| | ISO Artifact | Uncompressed Rootfs | SquashFS | Bootable `.iso` Size | How to Get It | Contents | |
| | :--- | :--- | :--- | :--- | :--- | :--- | |
| | **`SynapseOS-Debian12-Potato-x86_64.iso`** (**Full LLM**) | `3,998.0 MB` | `2,546.1 MB` (`zstd`) | **`2.6 GB`** | `./scripts/download_and_boot_full_iso.sh` or [Release `v1.0-k12`](https://github.com/batteryphil/SynapseOS/releases/tag/v1.0-k12) | Everything in Lite + pre-baked `2.2 GB` `cortex-phi3:latest` GGUF + Ollama runtime + `espeak-ng` TTS | |
| | **`SynapseOS-Lite-x86_64.iso`** (**Lite**) | `1,561.8 MB` | `376.5 MB` (`xz -Xbcj x86`) | **`437 MB`** | [Direct Download](https://github.com/batteryphil/SynapseOS/releases/download/v1.0-k12/SynapseOS-Lite-x86_64.iso) or `./iso/decompress_iso.sh` | Debian 12 + Openbox + 7 AI Labs + 325 K–12 Lessons + `cortex_kb.sqlite` + C99 `prime-moment` (`libprime.so`) | |
|
|
| --- |
|
|
| ## 2. 7 Native GTK3 + Cairo AI Labs (`workbench/`) — 35 Presets (`5 per Lab`) |
|
|
| | Lab | Paradigm | Interactive Parameters & Brain Surgery | Headless CPU Speed (`12 gens`) | |
| | :--- | :--- | :--- | :--- | |
| | **1. NEAT Rocket Moon Lander** | Neuroevolution (`NEAT`) | Gravity, Crosswind, Thruster Power, Safe Landing Speed, Pop Size, Add-Neuron/Synapse Rate, Mutation Power, Target Hidden Neurons | `24.1 ms` | |
| | **2. NEAT Self-Driving Lidar Car** | Autonomous Control (`NEAT`) | Lidar Ray Range, Max Speed, Steering Agility, Track Width, Pop Size, Mutation, Target Hidden Neurons | `189.4 ms` | |
| | **3. RL Hazard GridWorld** | Tabular RL (`Q-Learning` & `SARSA`) | Learning Rate ($\alpha$), Discount ($\gamma$), Exploration ($\epsilon$), Lava Penalty, Goal Reward, Slippery Wind | `8.2 ms` | |
| | **4. CartPole Balance** | Neuro-Policy Control | Gravity, Pole Length, Motor Force, Wind Gusts, Pop Size, Mutation Power, Target Hidden Neurons | `31.6 ms` | |
| | **5. Neural Network Backprop** | Deep Learning (`MLP`) | Dataset (`XOR`, `Circles`, `Moons`, `Spiral`), Hidden Neurons, LR ($\eta$), L2 ($\lambda$), Noise, Batch Steps | `64.5 ms` | |
| | **6. Predator-Prey Swarm** | Co-Evolutionary Boids | Prey Flock Size, Predator Count, Vision Radius, Max Speeds, Cohesion Drive, Food Density | `42.8 ms` | |
| | **7. PRIME Moment Attention** | Hybrid Sliding Window + $\mathcal{O}(1)$ C99 Memory | Context Tokens ($N$), Local Window ($W$), PRIME Moments ($K$), EMA Decay ($\gamma$), Recall Temp, Threads | `14.2 ms` (`8,737 tok/s` C99) | |
|
|
| --- |
|
|
| ## 3. CLI, Remote Browser Tunnel & Test Commands |
|
|
| ```bash |
| # Launch the 7-Lab GTK3 + Cairo AI Workbench GUI (starts in Synapse Kids mode by default; set SYNAPSE_INITIAL_MODE=pro for Teacher Mode) |
| ./synapse studio |
| |
| # Start encrypted HTTPS Remote Browser Tunnel (noVNC + Cloudflare Quick Tunnel) |
| ./bin/synapse-tunnel synapse-ai |
| |
| # Run headless benchmark across all 7 AI Labs |
| ./synapse studio --benchmark --gens 12 |
| |
| # Run the native C99 PRIME-Moment O(1) Attention benchmark (10,000 tokens) |
| ./cortex/c_prime/bin/prime |
| |
| # Query the Three-Tier Cortex Copilot (FTS5 + C99 PRIME Moment + Ollama) |
| ./synapse cortex cmd "compress directory with zstd" |
| ./synapse cortex ai "prime moment attention" |
| |
| # Rebuild the Lite ISO (385 MB, no LLM) or Full ISO (2.5 GB, with LLM) |
| ./distro/build-iso.sh --lite |
| ./distro/build-iso.sh --all |
| |
| # Browse & manage the Complete K-12 Rolling Curriculum (Kindergarten + Grades 1-12) |
| ./synapse pack list-years |
| ./synapse pack set-year K # Install Kindergarten (year_00) |
| ./synapse pack set-year 1 # Install Grade 1 (year_01), wipes old year files, keeps Transcript |
| ./synapse curriculum y00_math # Run Kindergarten Math + AI Lab |
| ./synapse curriculum y08_science_q2 # Run Grade 8 Science Quarter 2 (Winter Unit) + AI Lab |
| ./synapse pack advance-year # Graduate to next School Year (wipes old year, saves Report Card) |
| |
| # Run all automated unit & integration tests |
| python3 -m unittest discover -s tests |
| ``` |
|
|
| --- |
|
|
| ## 4. Complete K–12 Rolling Year-by-Year School Curriculum (`curricula/year_00.json` – `year_12.json`) |
|
|
| Every grade from **Kindergarten (`year_00` / Grade K)** through **Grade 12 (`year_12` / Senior Capstone)** (**13 complete grades**) includes **5 Full-Year Subject Courses** + **20 Quarterly Unit Lessons (`Q1 Fall`, `Q2 Winter`, `Q3 Spring`, `Q4 Capstone`)** = **325 total K–12 lessons** + **91 bilingual `EN`/`FR` visual levels**: |
| 1. **📐 Mathematics** (*Counting & Shapes $\rightarrow$ Arithmetic $\rightarrow$ Fractions/Ratios $\rightarrow$ Algebra & Geometry $\rightarrow$ Pre-Calculus, Calculus & Linear Algebra*) |
| 2. **🔬 Science** (*5 Senses & Weather $\rightarrow$ Forces & Ecosystems $\rightarrow$ Genetics, Waves & Chemistry $\rightarrow$ Physics, Thermodynamics & Computational Neuroscience*) |
| 3. **📖 Reading & Language Arts (ELA)** (*Alphabet Phonics $\rightarrow$ Reading Comprehension & Grammar $\rightarrow$ Claim-Evidence-Reasoning (CER) $\rightarrow$ Rhetoric & Technical Peer Review*) |
| 4. **🌍 Social Studies & History** (*Classroom Civics & Maps $\rightarrow$ Ancient Civilizations & U.S./World History $\rightarrow$ Constitution & Economics $\rightarrow$ AI Ethics, Public Policy & TCO*) |
| 5. **🤖 Connected AI & Coding Assignment** (*Hands-on simulation + auto-graded Python worksheet tied directly to that grade's Math, Science, ELA, and History lessons*) |
|
|
| Every lesson contains **6 Complete Textbook Sections**: |
| - **Section 1**: Core Textbook Lesson & National Standards Alignment (`CCSS Math`, `NGSS Science`, `CCSS ELA`, `NCSS C3`, `CSTA CS`) |
| - **Section 2**: Full 36-Week / 4-Quarter Course Syllabus (`Q1 Weeks 1–9`, `Q2 Weeks 10–18`, `Q3 Weeks 19–27`, `Q4 Weeks 28–36`) |
| - **Section 3**: Academic Vocabulary Glossary (Terms & Definitions) |
| - **Section 4**: Step-by-Step Worked Textbook Examples |
| - **Section 5**: Traditional Practice Worksheet & Self-Check Quiz (with Answer Key) |
| - **Section 6**: Teacher Guide & 100-Point Mastery Rubric (`40 pts Core Subject + 30 pts Quiz + 30 pts AI Lab & Python Code`) |
|
|
| - **1-Year-at-a-Time Potato Storage Wiper**: Only **one** school year's curriculum package resides in active classroom storage (`~/.config/synapse-os/active_pack/current_pack.json`). Advancing a student (`./synapse pack advance-year` or clicking **`★ Yr X ↻`** in the Teacher Report tab) **wipes the old year's pack and scratch files** while **permanently preserving the student's Cumulative Multi-Subject Report Card Transcript, Gold Trophies, Coins, and High Scores** in `student_profile.json`. |
|
|
| --- |
|
|
| ## 5. Repository Structure |
|
|
| ```text |
| synapse-os/ |
| ├── synapse # Unified CLI entrypoint |
| ├── SYNAPSE_OS_SPECS.txt # Full technical architecture & benchmark specification |
| ├── curricula/ |
| │ ├── index.json # Master manifest of all 13 K-12 School Year Curricula (K-12) |
| │ └── year_00.json .. year_12.json # Hosted Kindergarten + Grades 1-12 complete textbook packages |
| ├── bin/ |
| │ ├── synapse-studio # Studio desktop launcher |
| │ └── synapse-tunnel # Encrypted HTTPS noVNC + Cloudflare remote classroom tunnel |
| ├── iso/ |
| │ ├── SynapseOS-Lite-x86_64.iso.zst.part-* # 5 chunks (<90 MB each, 374 MB total) of the 385 MB Lite ISO |
| │ ├── SynapseOS-Lite-x86_64.iso.sha256 # SHA256 checksum for verification |
| │ └── decompress_iso.sh # 1-command ISO reassembly + zstd decompression + SHA256 check |
| ├── cortex/ |
| │ ├── engine.py # Three-tier AI engine (FTS5 + C99 PRIME Moment + Ollama + Safety Shield) |
| │ ├── prime_window.py # ctypes binding to libprime.so + O(W+K) context compressor |
| │ ├── c_prime/ # Native C99 PRIME-Moment & Sim kernels (GCC + Cosmopolitan + Fil-C) |
| │ ├── knowledge/cortex_kb.sqlite # 92 KB SQLite FTS5 BM25 database |
| │ └── forge/ |
| │ ├── Modelfile.phi3 # Fast-TTFT (num_ctx=1024) Ollama Modelfile |
| │ ├── cortex_phi3_train.jsonl # Curated instruction-tuning dataset |
| │ ├── hybrid_prime_attention.py # PyTorch causal-mask Transformer surgery for Phi-3 & Qwen2 |
| │ └── train_phi3_qlora.py # 4-bit NF4 QLoRA trainer with GPU hardware guardrail |
| ├── workbench/ |
| │ ├── studio_gui.py # GTK3 + Cairo 60 FPS 7-Lab GUI + K-12 Teacher Report Card |
| │ ├── kid_arcade_view.py # Full-screen Synapse Kids gamified view (EN/FR toggle) |
| │ ├── k12_curricula.py # 12-Year K-12 Traditional Subjects + AI Curriculum generator |
| │ ├── pack_manager.py # 1-Year-at-a-Time Wiper & Persistent Student Transcript Vault |
| │ ├── labs/prime_attention_lab.py # Lab 7: Interactive O(N^2) vs O(W+K) PRIME Moment simulator |
| │ ├── curriculum.py # 35 Lab Examples (5 per lab) & classroom missions |
| │ └── sandbox_runner.py # Subprocess Python sandbox (8s timeout) |
| ├── distro/ |
| │ └── build-iso.sh # Debian 12 Live ISO builder (--lite for 385 MB, --all for 2.5 GB) |
| └── tests/ # Automated unit & integration test suite (32 tests) |
| ``` |
|
|
