Reinforcement Learning GitHub Repositories (2026) · Open Source Tools

Learn AI Engineering! Learn it. Build it. Ship it for others.

FineEnvs — RL Environments 101: building and scaling RL environments in the age of LLMs

Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference on your k8s — in pure Python with async/await, also other languages (rust, go and ts)

SGLang is a high-performance serving framework for large language models and multimodal models.

Infrastructure for continually self‑improving agents

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

Turn any repository into verifiable RL environments for coding agents - Harbor tasks you can train on, evaluate and share on the Hugging Face Hub

A Python library for running thousands of MuJoCo simulations in parallel on CPU

UniLab: A Heterogeneous Architecture for Robot RL Beyond GPU-Dominant Paradigms

2,000 curated embodied AI and robotics resources with bilingual metadata and transparent ranking

Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.

Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.

A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

A high-performance, general-purpose toolkit for versatile robotic tasks.

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Massively parallel rigidbody physics simulation on accelerator hardware.

An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale

META‑AGENTIC α‑AGI 👁️✨ — Mission 🎯 End‑to‑end: Identify 🔍 → Out‑Learn 📚 → Out‑Think 🧠 → Out‑Design 🎨 → Out‑Strategise ♟️ → Out‑Execute ⚡ → Out-Evolve ♾️