tinymachines
56 repositories built from February 2016 to present. Hardware hacking, systems programming, and maker projects.
Commit Activity
Language Distribution
Development Phases
AI Content & Platform Development
This repository ecosystem represents the core development of the tinymachines project, focusing on building AI-powered content creation tools and platforms. It spans from initial framework development and feature additions to a robust AI model architecture and a curated archive of learning resources, demonstrating a progression from foundational Python code to sophisticated AI applications.
deox
PythonCommits: Add automatic PDF generation for lectures and companions; Add .env file support and default to SSH for GitHub cloning
gnomes
Pythoncollidr
UnknownCommits:
spicy
PythonStar + Spicy: Async human-in-the-loop AI with DSPy and Scout
orator
PythonUnified educational content platform - generates lectures from GitHub repos and YouTube videos
esp32
Pythongene-pool
UnknownCurated archive & analysis of AI coding agent system prompts
Core Infrastructure & Initial Tooling
This phase focuses on establishing the foundational infrastructure and initial tooling for the tinymachines project. It includes the creation of essential files and scripts, such as the resume, 6502 Processor Expert Agent, cascade, tgmi, scout, rustforhaters, and ripgrep, designed to facilitate the project’s core functionality. It represents the early stages of development and setup.
Development Pipeline
This repository represents the core development pipeline for the tinymachines project, encompassing the evolution of key components from initial concepts to functional versions. It chronicles the creation and refinement of the dragonfli, umbra, aihelp, swrm, leaks, ferret, and tiny projects, each building upon previous work and incorporating new features and improvements. It’s a sustained effort to create and test a robust ecosystem for computer vision and machine learning.
Hotbits - Initial Development
This phase represents the initial development of the `hotbits` project, focused on establishing a foundational interface for the SMS gateway and core functionalities. It involved implementing the complete SMS gateway wrapper, adding the CLAUDE.md project, and setting up initial infrastructure for the project, showcasing the core components of the system.
Tinymachines Core Development
This collection of repositories represents the core development of the Tinymachines project, focusing on establishing the foundational structure, dependencies, and initial implementation of the project’s key features. It encompasses setup, initial testing, and the creation of essential components needed for future expansion and maintenance, representing the initial phases of building a functional project ecosystem.
Development Pipeline
This repository collection represents the iterative development process within the tinymachines ecosystem. It spans the initial experimentation with EEG monitoring, followed by foundational learning resources for ARM assembly, a prototype agentic programming language, and ultimately, a brute-force web scraping tool. The projects demonstrate a progression from foundational elements to more complex implementations and testing.
Core Infrastructure & Initial Development
This repository represents the foundational development of the tinymachines ecosystem, encompassing the core components that allow for the project's functionality. It began with the initial implementation of the Python scripts for the fundamental building blocks – a rudimentary TRNG Generator and a sleep implementation. The development phase focused on establishing a stable and usable base for future expansion.
Core Infrastructure & Tooling
This collection of repositories represents the foundational elements of the tinymachines project, focusing on essential tools and components needed for development, testing, and operation. It encompasses small knowledge networks, vector comparison utilities, document processing, and rudimentary management systems, all critical to the project's functionality and stability.