adityasasidhar/adityasasidhar
Config files for my GitHub profile.
AGI ain't gonna invent itself...
Repositories
adityasasidhar/zero-hermes
From-scratch Rust reimplementation of the Hermes Agent core — agent loop, Telegram gateway, cron, skills, SQLite memory. Inspired by ZeroClaw.
adityasasidhar/quizproject
A Flask-based interface for generating and taking exams, with both online and offline modes.
adityasasidhar/the-deep-field
Research space for AI, LLMs, and machine learning experiments.
adityasasidhar/recursive-babylm
adityasasidhar/browsercontrol
a vision first broswer tool
adityasasidhar/cutieboard
adityasasidhar/rocky-code
adityasasidhar/dr-browser
adityasasidhar/PanchAI
adityasasidhar/ARC-AGI-2
adityasasidhar/cutiepie
A soft VS Code theme in powder pink and turquoise on true black. Dark and light.
adityasasidhar/adityasasidhar.github.io
adityasasidhar/tinylm
adityasasidhar/texed
adityasasidhar/Italian-Balance-sheet-generator
An intelligent financial tool that automatically transforms PDF/DOCX balance sheets into professionally formatted, OIC-compliant Italian statutory financial statements (Bilancio d'Esercizio).
adityasasidhar/claude-code-in-100-lines
Learn how agent harness works
adityasasidhar/opencode
The open source coding agent.
adityasasidhar/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
adityasasidhar/doclang
DocLang spec and reference validator
adityasasidhar/nemotron-reasoning-challenge
adityasasidhar/TinyMoe
a small experiment to validate MoE in small language models
adityasasidhar/parameter-golf
Train the smallest LM you can that fits in 16MB. Best model wins!
adityasasidhar/terax-ai
Lightweight (7MB) Terminal-first AI-native dev workspace
adityasasidhar/python-genai
Google Gen AI Python SDK provides an interface for developers to integrate Google's generative models into their Python applications.
adityasasidhar/Self-Improving-Agent
This project implements an autonomous AI agent capable of self-improvement by evolving its own system prompt (context) rather than fine-tuning weights. This approach is inspired by the research concept that "Fine-tuning is Dead" (in favor of dynamic context engineering).
adityasasidhar/hands-on-labs
This is where you will find the learning labs for each monthly challenge to complete.
adityasasidhar/paperclip
Open-source orchestration for zero-human companies
adityasasidhar/nest
adityasasidhar/hive
Multi-Agent Harness for Production AI