rohitg00 / ai-engineering-from-scratch
A free, MIT-licensed course of 542 lessons on AI engineering, implementing model internals, retrieval, and agent runtimes from scratch.
rohitg00 / ai-engineering-from-scratch
AhmadHassan-BTed / AutoSwarm-Shadow-Adapter
Zero-modification Human-in-the-Loop adapter for OpenOPC's agentic DAG runtime.
bojieli / ai-agent-book
《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码
sgl-project / sglang
SGLang is a high-performance serving framework for large language models and multimodal models.
unslothai / unsloth
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.
zj-unicom-ai / UniEmployee
面向企业的数字员工构建与运行平台：把专业员工的经验、流程与判断标准，固化为可随时上岗、可配置、可审批、可观测的 AI 数字员工。
Human-Agent-Society / reef
Infrastructure for continually self‑improving agents
aim-uofa / Self-Distillation-AgentRL
More Methods, Better Agents? A Reality Check on Self-Distillation in Agentic Reinforcement Learning
omnigent-ai / omnigent
Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.
microsoft / agent-lightning
The absolute trainer to light up AI agents.
lvndry / ps5-firmware-pin
Keep a jailbroken PS5 on the firmware you want. Stop forced updates from wiping your jailbreak. Tested on 13.60 (Relapse).
worldbench / DiffusionOPSD
🔥 On-Policy Self-Distillation in Diffusion Models
scaleapi / agentenv-framework
Creating realistic RL environments requires collaboration between researchers, engineers, and domain experts across many dimensions: artifacts, environments tools, dynamism of the environment, reproducibility, and more. There is no open source framework for building these environments effectively. Until now.
JenniceXie / sota-options-rl
SOTA: strategy-level reinforcement learning for options portfolio management — code release for the paper
ray-project / ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
simular-ai / Agent-S
Agent S: an open agentic framework that uses computers like a human
RLinf / RLinf
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
ace-trump-tech / DeltaForce-OBS-Locker
三角洲行动OBS锁头插件（电脑端&手机端） – 基于OBS渲染注入的智能锁头辅助，支持QQ音乐/网易云联精准骨骼识别、平滑自瞄、压枪抑制，稳定过检，提升击杀效率。5L2G5YW25a6e5Lul5LiK5YWo5piv6aqX5L2g55qE77yM6L+Z5Y+q5piv5Liq5biu5L2g5a6J6KOF5pqX5Yy656qB5Zu055qE5Y+N5L2c5byK6aG555uu572i5LqG
DevnorsAI / devnors-data-python
Devnors Data - Python SDK: 接口,数据API,裁判文书,Legal Case,法律法规,法条,Law Article,企业工商,Company Registry,企业年报,Annual Report,税号开票,Tax Invoice,失信核查,Dishonest Judgment Debtor,被执行人,Enforcement Debtor,关键词指数,Keyword Index,微信指数,WeChat Index,热搜榜,Hot Rank,微博热搜,抖音热搜,快递查询,Express Tracking,快递公司编号,统一查询,/v1/data/query,API Key,MCP,AI Agent
huggingface / trl
Train transformer language models with reinforcement learning.
walkinglabs / hands-on-modern-rl
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
udaysharmadev / Gravitas
Make Gemini code like Claude Models. Forces it to inspect files before editing, plan changes, test its work, and back up every “done” with actual evidence.
XLearning-SCU / HERO
Pytorch Implementation of Doing More with Less Tokens: Hierarchical Reinforcement Learning for Efficient Coding Agents
mujocolab / mjlab
Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research
fancyboi999 / ai-engineering-from-scratch-zh
Agent工程师最全学习路径 · 从零精通 AI 工程 · 20 阶段 542 课 · 中文全量翻译 + 配套站点 + 动画讲解视频 · 如何成为 AI Agent 工程师的修成指南
Calix-L / DanKS
RL‑Empowered Small‑Scale Competitive Guandan Agent
vanzll / DiffusionART
Official Implementation of "DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models"
datamllab / OpenEBFM
Open-source code for training and scaling up energy-based foundation models.
TK22-26 / JetForceGemini-Recomp
Native Windows PC recompilation of Jet Force Gemini with modern mouse/keyboard and controller controls, high-refresh rendering, and easy setup. Playable release available. Requires your own game ROM; no game assets included.
camel-ai / owl
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
DLR-RM / stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
OpenRLHF / OpenRLHF
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
areal-project / AReaL
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
xlang-ai / OSWorld
[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
radixark / miles
Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.
EMI-Group / evox
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
learnsyslab / gym-pybullet-drones
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
sipyourdrink-ltd / bernstein
The open-source governance layer for AI agents: write the rules declaratively, Bernstein enforces them and produces the verifiable, replayable record. Free, Apache-2.0. https://bernstein.run
verl-project / verl-omni
Multimodal RL training framework for diffusion & omni models
whitecircle / halo
Halo is an open-source framework built by White Circle for training large language and multimodal models
X-GenGroup / Flow-Factory
A unified framework for easy fine-tuning in Flow-Matching models
TrenTorch / TrenTorch
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
jagmarques / asqav-sdk
Python and TypeScript SDKs for verifiable evidence of AI agent actions. Signed receipts, policy enforcement, audit trails. Works with LangChain, CrewAI, MCP.
Blueforcer / ComfyUI-DLSS5-Enhancer
NVIDIA DLSS 5 Neural Rendering (NGX feature 18) as ComfyUI nodes. Enhance image batches and video files with the real neural renderer, with optional upscaling.
Jaasssoooonnnnn / FirstLight_CR
Offline Clash Royale AI agent research: native simulation, imitation learning, PPO, and interactive evaluation. 离线对局模拟、模仿学习、强化学习与交互评测。
microsoft / AesCode
Aesthetic code generation with decoupled cross-modal rewards: turning prompts into editable, verifiable HTML/CSS infographics, with image generators as aesthetic guidance.
Farama-Foundation / Gymnasium
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
OpenPipe / ART
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
MervinPraison / PraisonAI
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.
lucidrains / PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
microsoft / agent-governance-toolkit
AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.
OWASP / Nettacker
Automated Penetration Testing Framework - Open-Source Vulnerability Scanner - Vulnerability Management
google-deepmind / dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
danijar / dreamerv3
Mastering Diverse Domains through World Models
Farama-Foundation / PettingZoo
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
DLR-RM / rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
AI4Finance-Foundation / FinRL-Meta
FinRL®-Meta: Dynamic datasets and market environments for FinRL.
Farama-Foundation / Metaworld
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
AgentR1 / Agent-R1
Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning
spec-kitty / spec-kitty
Spec-Driven Development with organizational governance. Specs tell AI agents what to build; Charter governs how they build it. Git-native missions, enforceable workflows, and consistent engineering standards across AI coding agents and harnesses.