Salesforce's curated collection of agent skills for building applications. Optimized for Agentforce Vibes, compatible with all AI tools.
[NeurIPS'26] SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
UniLab: A Heterogeneous Architecture for Robot RL Beyond GPU-Dominant Paradigms
A suite of test scenarios for multi-agent reinforcement learning.
[EMNLP 2026] MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Simulator · Verifiable Evaluation · Scalable Online RL Training
BFM_Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning
Turn any repository into verifiable RL environments for coding agents - Harbor tasks you can train on, evaluate and share on the Hugging Face Hub
Official repository for DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
[ICLR 2026] ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving
Claude Code plugin for Elixir/Phoenix/LiveView — 26 specialist agents, Iron Laws enforcement, and Tidewave MCP integration. Plan features with parallel research agents, execute with automatic verification, review with 4-agent parallel audits, and capture learnings as reusable knowledge.
FineEnvs — RL Environments 101: building and scaling RL environments in the age of LLMs
📄Score Centering Stabilizes Off-policy Reinforcement Learning
Deterministic Clash Royale simulator and a reinforcement-learning agent for 2.6 Hog Cycle. Integer-exact physics from client data, 1,600+ tests.
Open infrastructure for training, evaluating, and deploying System 1 decision models across language and multimodal backbones.
Official codebase for Unitas: A 3D-Native World Action Model for Embodied Manipulation
Python-based cryptocurrency wallet forensics suite supporting 40+ wallet types on Windows, Linux, and macOS. Features encrypted vault analysis, wallet detection, seed recovery, multi-chain address derivation, threaded processing, and TXT/CSV/JSON export. Designed for security research, compliance, incident response, and blockchain investigations.
An enterprise-grade AI Agent platform designed to streamline sales quality assurance, enforce compliance auditing, and automate high-converting follow-up workflows for EdTech and high-ticket service teams. By analyzing unstructured sales conversation logs, the system bridges the gap between risk management and sales enablement.
[NeurIPS 2026] Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning
Reflex: Visually Grounded Reactive Humanoid Control (code coming soon)
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
A collection of machine learning examples and tutorials.
Democratizing Reinforcement Learning for LLMs
A Next-Generation Training Engine Built for Ultra-Large MoE Models
A library of reinforcement learning components and agents
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
A high-performance distributed training framework for Reinforcement Learning
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
A collection of environments for autonomous driving and tactical decision-making tasks
Monte Carlo tree search in JAX
Simple and easily configurable grid world environments for reinforcement learning
Textbook on reinforcement learning from human feedback
BottleCRM: free, open-source (MIT) CRM with sales, support tickets and invoicing in one app. Unlimited users; self-host or use the hosted app.
ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.
GLM-4.6V/4.5V/4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
A lightweight suite of motion imitation methods for training controllers.
IAM Least Privilege Policy Generator
Scalable toolkit for efficient model reinforcement
A collection of robotics simulation environments for reinforcement learning
Command line utility for forced alignment using Kaldi
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities
Bruteforce database
A lightweight library for PyTorch training tools and utilities
Simulation of spiking neural networks (SNNs) using PyTorch.
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
The living ecosystem where AI agents complete tasks through workflow loops, improve through iterative execution, are evaluated by mentor agents or humans in the loop, and turn completed work into reusable work experience and data to improve future agents.
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Evaluate and improve models and agents using environments
RL research on Android devices.
Multi-objective Gymnasium environments for reinforcement learning
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
A Python-based lightweight robot simulator designed for navigation, control, and learning
[ICLR 2026] Agentic Reinforced Policy Optimization (ARPO)
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
The Continuous-Improvement Stack for Agents. Our environment data and evals power agent improvement and monitoring.
High throughput synchronous and asynchronous reinforcement learning