Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

AGENTS.md — a simple, open format for guiding coding agents

The official Python client library for the Kite Connect trading APIs

HTTP API design guide extracted from work on the Heroku Platform API

A collection of Rack middleware to support JSON Schema.

Seamlessly adds a Swagger to Rails-based API's

rails and committee are good friends

The absolute trainer to light up AI agents.

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.

Research papers and blogs to transition to AI Engineering

An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

verl: Volcano Engine Reinforcement Learning for LLMs

Send a phone call from AI agent, in an API call. Or, directly call the bot from the configured phone number!

SQL Native Memory Layer for LLMs, AI Agents & Multi-Agent Systems

OpenTelemetry Instrumentation for AI Observability

AI Observability & Evaluation

Quick illustration of how one can easily read books together with LLMs. It's great and I highly recommend it.

A game theoretic approach to explain the output of any machine learning model.

A curated list of awesome projects, resources, and tools for building stateful, multi-actor applications with LangGraph 🦜🕸️

Public repository for Agent Skills

Implementation of contextual engineering pipeline with LangChain and LangGraph Agents

Recursive-Open-Meta-Agent v0.1 (Beta). A meta-agent framework to build high-performance multi-agent systems.

Community-maintained LangChain integrations