Lists (4)
Starred repositories
Production-grade engineering skills for AI coding agents.
OmX - Oh My codeX: Your codex is not alone. Add hooks, agent teams, HUDs, and so much more.
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
The best open-source alternative to Superwhisper & Wispr Flow. Voice-to-text app for macOS with no subscription
Open Data Platform for analysts, quants and AI agents.
Open-source, self-hosted note-taking tool built for quick capture. Markdown-native, lightweight, and fully yours.
An open-source AI agent that brings the power of Gemini directly into your terminal.
The `criticalthink` command is a custom command that embeds healthy skepticism into the dialogue process itself as a countermeasure against AI's "confirmation bias" and humans' "authority bias" of …
A gemini CLI extension that guides software development from initial concept to implementation using a series of commands.
💫 Toolkit to help you get started with Spec-Driven Development
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot.
Main reference implementation for NLWeb, implemented in Python.
"rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files
Huly — All-in-One Project Management Platform (alternative to Linear, Jira, Slack, Notion, Motion)
The simplest, fastest repository for training/finetuning medium-sized GPTs.
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Start building and deploying Python packages and Docker images for MLOps tasks.
Learn ML engineering for free in 4 months! Register here 👇🏼