Alibaba

ANOLISA (Agentic Nexus Operating Layer & Interface System Architecture)

RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.

An end-to-end agent project for GPU kernel implementation, analysis, profiling, and iterative optimization. It helps an agent turn PyTorch logic or an existing kernel into a high-performance GPU kernel through a structured, profile-driven workflow.

Fast, efficient, battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in multi-language ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.

Simple, light-weight and easy-to-use asynchronous components

A lightweight, lightning-fast, in-process vector database

An easy-to-use framework for large scale recommendation algorithms.

An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models