The Cursor for Designers • An Open-Source AI-First Design tool • Visually build, style, and edit your React App with AI

Miles is an enterprise-facing reinforcement learning framework for large-scale MoE post-training and production workloads, forked from and co-evolving with slime.

A curated list of Claude Skills.

A construction kit for reinforcement learning environment management.

Spec-driven development (SDD) for AI coding assistants.

ValueCell is a community-driven, multi-agent platform for financial applications.

Intelligent automation and multi-agent orchestration for Claude Code

A Lightweight LLM Inference Performance Simulator

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

A unified architecture deep learning framework designed specifically for ultra-large-scale sparse models.

Build, evaluate and train General Multi-Agent Assistance with ease

Production-ready platform for agentic workflow development.

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, and more!

A Gym for Agentic LLMs

siiRL: Shanghai Innovation Institute RL Framework for Advanced LLMs and Multi-Agent Systems

Lightning-Fast RL for LLM Reasoning and Agents. Made Simple & Flexible.

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

Awesome-LLM: a curated list of Large Language Model

End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

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

verl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is also the official code for paper "Group-in-Group Policy Optimization for LLM Agent Training"

A comrephensive collection of learning from rewards in the post-training and test-time scaling of LLMs, with a focus on both reward models and learning strategies across training, inference, and po…

RAGEN leverages reinforcement learning to train LLM reasoning agents in interactive, stochastic environments.

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games

verl: Volcano Engine Reinforcement Learning for LLMs

Super-Efficient RLHF Training of LLMs with Parameter Reallocation