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Cutting-edge platform for LLM agent tuning. Deliver RL tuning with flexibility, reliability, speed, multi-agent optimization and realtime community benchmarking.
An LLM post-training framework with vLLM for RL Scaling
Agentic RL on Any Harness at Scale
An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale
The agent that grows with you
Claude Code 泄露源码 - 本地可运行版本，新增跨平台桌面端软件补齐Computer Use（附带核心模块解析）
OpenClaw-RL: Train any agent simply by talking
A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.
SkyRL: A Modular Full-stack RL Library for LLMs
[ICLR 2026] Tree Search for LLM Agent Reinforcement Learning
Codes for the paper "BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping" by Zhiheng Xi et al.
Tongyi Deep Research, the Leading Open-source Deep Research Agent
[ICLR 2026] Information Gain-based Policy Optimization: A Simple and Effective Approach for Multi-Turn Search Agents
[ICLR 2026] Agentic Reinforced Policy Optimization (ARPO)
[ICLR 2026]QeRL enables RL for 32B LLMs on a single H100 GPU.
Bridge Megatron-Core to Hugging Face/Reinforcement Learning
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings
slime is an LLM post-training framework for RL Scaling.
A high-throughput and memory-efficient inference and serving engine for LLMs
Scalable toolkit for efficient model reinforcement
Muon is an optimizer for hidden layers in neural networks
Unleashing the Power of Reinforcement Learning for Math and Code Reasoners
Parallel Scaling Law for Language Model — Beyond Parameter and Inference Time Scaling
Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.
FireFlyer Record file format, writer and reader for DL training samples.