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A curriculum for learning about gpu performance engineering, from scratch to what the frontier AI labs do
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
A vector index built on TurboQuant, written in Rust with Python bindings
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.
Production-grade engineering skills for AI coding agents.
Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepowe…
A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require e…
A resume builder that auto-scales font size and line spacing to always fit on one page. Powered by pretext for instant, DOM-free text measurement.
Workflow orchestration for AI coding agent swarms, from task to merged PR.
Fast, accurate & comprehensive text measurement & layout
A set of plugins to get you started on Cursor
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Biomni: a general-purpose biomedical AI agent
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra
The official Python SDK for Model Context Protocol servers and clients
A Python package for elegant error handling, inspired by Rust's Result type
Convert PDF to markdown + JSON quickly with high accuracy
A package for parsing PDFs and analyzing their content using LLMs.
Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.
Knowledge Agents and Management in the Cloud