the runtime your coding agents live on

A data visualization and analytics component, especially well-suited for large and/or streaming datasets.

The Little Book of Reinforcement Learning

Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

Interactive Brokers MCP Server

ktx is an executable context layer for data and analytics agents 🐙 Allow Claude Code, Codex, or other AI agents to query analytical databases accurately and with full context of your company

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Search, inspect, and export Claude Code, Cursor & OpenAI Codex conversation history

Open-source AI coworker, with memory

BreezyBox shell demo for esp32s3

Realtime Voice AI Toys with 100+ Models on Arduino ESP32 with Secure Websockets and Edge Functions for AI Companions, and Devices

The Concise TypeScript Book: A Concise Guide to Effective Development in TypeScript. Free and Open Source.

Proxy remote LLM API as Ollama and LM Studio, for using them in JetBrains AI Assistant

Magical Rust patterns laid out and simplified

Merlion: A Machine Learning Framework for Time Series Intelligence

Model Context Protocol Servers

An extremely fast Python package and project manager, written in Rust.

Prompt, run, edit, and deploy full-stack web applications using any LLM you want!

Automagically reverse-engineer REST APIs via capturing traffic

A virtual monitor for screen sharing

Charts dedicated to finance.

An chart library specialized for large-scale time-series data, built on WebGL.

Free, open source, a high frequency trading and market making backtesting and trading bot, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and o…

Open Source framework for voice agents, multimodal apps, and realtime AI. Maintained by Daily and the community.

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"