Give your agent CAD superpowers.
SolarRenderer: Few-Step Generative Reference Rendering
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
The most powerful local music generation model that outperforms almost all commercial alternatives, supporting Mac, AMD, Intel, and CUDA devices.
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!
A python parametric CAD scripting framework based on OCCT
Run 35B MoE models in ~2.5 GB of RAM. Weights stream from SSD; a trained router predicts loads a step ahead. Mac, iPhone, Android, Windows supported
This is the Personality Core for GLaDOS, the first steps towards a real-life implementation of the AI from the Portal series by Valve.
Open-source AI Security Operations Center: alert fusion, LLM-agent triage, MITRE ATT&CK investigation, and a replayable decision ledger for every agent step. Self-hostable, runs with no API keys, MIT licensed. Ships an MCP server for Claude, Cursor and Continue.
A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows
Adaptive Test-time Learning and Autonomous Specialization
[CVPR 2026] Towards Real-Time Diffusion-Based Streaming Video Super-Resolution — An efficient one-step diffusion framework for streaming VSR with locality-constrained sparse attention and a tiny conditional decoder.
For EHRs, payer portals, and any app your team clicks through. A person or an agent shows the task; OpenAdapt turns it into a local program that repeats the steps with no model calls, checks each save, and stops when something doesn't match.
Open-source AI pentester that proves every finding. Machine oracles re-run each exploit; verified bugs ship a proof capsule you can replay yourself.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
A comprehensive, step-by-step guide to learning Machine Learning from absolute basics to advanced topics
Lossless Context Management plugin for Hermes Agent — DAG-based context engine that never loses a message
CadQuery GUI editor based on PyQT
Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS.
A ComfyUI custom node integration for local multi-engine multi-language Text-to-Speech and Voice Conversion. Supports: RVC, Echo-TTS, Qwen3-TTS, Cozy Voice 3, Step Audio EditX, IndexTTS-2, Chatterbox (classic and multilingual), F5-TTS, Higgs Audio 2, 3, and VibeVoice with unlimited text length, SRT timing, Character support, and many audio tools
Natural language workflows that enable AI agents to perform complex, multi-step tasks with consistency and reliability.
MAC (Multi-Agent CAD): A decoupled multi-agent framework for text-to-CAD generation via constrained test-time compute
CodeAgent is an open-source coding agent that lives in your terminal. It understands your repository, plans multi-step changes, writes and edits files, runs commands and tests, and iterates until the task is done — all with a transparent, extensible tool loop.
[ICML 2026] Official codebase for "Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation" & Causal Forcing++
Self-hosted dark web OSINT platform. Automated threat intelligence from query to graph in 13 steps. Free alternative to Recorded Future, DarkOwl, and Flare.
Official implementation of EVOKE: Endless Interactive World with Bounded State and Long-Horizon Supervision. A three-step, CFG-free interactive world model. SOTA on WBench.
AI data analyst for transparent, reproducible analysis. Works step by step in Python, verifies the evidence behind its reports, and supports a wide selection of models, including local open-weight models.
A FREE comprehensive online Python development tutorial FOR KIDS utilizing an official BBC micro:bit Development Board going step-by-step into the world of Python for microcontrollers.
See what your coding agents did and what it cost. Breaks each task down into work steps — tools used, files changed, tests run, time and tokens spent. Local-first dashboard for Claude Code, Codex, OpenCode, and more. No login, no telemetry.
On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators
Python framework for short-term ensemble prediction systems.
Fizgig — LoRA & Fine-tune Studio for Klein 9B, Krea 2, MiniMax H3, Qwen Image 2.1, Anima & Z-Image Turbo and Ace-Step XL: train, fine-tune, profile, repair and extract LoRAs & LoKR for Image, Video & Music Models
Agent Skill 步进治理体系:由程序保证 Agent 不跳步骤(step-gate Rust 门控 + 交付门 + 链治理)
An Initial Step towards a Vision-Language Foundation Model for Autonomous Driving
Package manager for things. Start designing modular hardware! PartCAD is the standard for documenting manufacturable physical products (a.k.a. Digital Thread or TDP). It comes with a set of tools to maintain product information and to facilitate efficient and effective workflows at all product lifecycle phases, boosted by AI.
OntiCards 是面向企业的 AI 数据中枢(AI Data Hub),围绕业务数据库提供一站式能力:数据源连接、元数据理解、自然语言查询、跨源融合、数据质检、查询审计与数据资产管理等
Official research code for GlucoFlow: few-step multimodal probabilistic glucose forecasting.
Distill Minimax-H3 into 4 steps
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把写代码时的 AI 搭子换上麦当劳制服,养在桌面角落:11:30 喊你干饭、汇报最划算的券、用营养数据把关;跑长任务时同步项目进度与 token 余额。
短剧工作台 | 无限时长视频的 MiniMax H3 工作流 | ComfyUI 本地短剧与长视频生成插件
LynnReal-Omni brings text-to-video, image-to-video, human- and hand-pose guided generation, structural control, omni-reference generation, style transfer, video editing, degraded-video restoration and streaming long-video generation into a single framework, all at four-step fast generation.
Simplifying and Improving On-Policy Distillation for Few-step Diffusion
We propose LeapTalk, a novel framework that achieves stable and real-time talking-head generation with a single forward step, scaling to arbitrarily long videos.
Structured decisions with DiffusionGemma and vLLM. Native image inputs, image choices, live camera sampling, and a compact one-step inference path.
Experimental test to freeze video latents while continuing with audio processing, to increase audio quality in low-step turbo MiniMax H3 generations
HyperFlow: Video Rebirth's 8-step LoRA for MiniMax-H3 on the diffusers Modular Pipeline
Official MiniMax-H3 8-step PDD Acc LoRAs (alibaba-pai) in ComfyUI: LoRA + parallel-decoding head bank, euler on trained sigmas, audio+video in 8 steps
Windows 便携工具:按立创 C 编号批量下载 STEP/OBJ 3D 模型,导出 Altium Designer SchLib/PcbLib 元件库,预览 3D、符号与封装,支持自更新。
MiniMax-H3 multi-GPU inference acceleration: ~12x on 8x RTX 6000D (step distillation + SageAttention2 + Cache-DiT + torch.compile, TP2+Ulysses4 on sglang)
SmolVLA (SmolVLM2-500M) vision-language-action on real dual AgileX Piper arms — continuous authority blending on a proven ACT safety base folds a real towel. One command runs the full 750-step skill (status=0). Full illustrated course included
Dossier-backed, step-by-step AI discussions with less information overload
STEPQuant: When and Where Errors Matter in Delta-Rule Recurrent State Quantization
Build an AI Coding Agent from Scratch in Pure Python, Step by Step | 用纯 Python 从零搭建 AI 编程 Agent,边实现边理解其工作原理
FlashRec is a CUDA-graph engine for generative recommendation: wide beam search (3–5 SID steps, n=50–512+) over a trie-constrained catalog, in-process FP8 serving, and ranked beams on /v1/chat/completions.
cadena: Stepwise CAD Reverse Engineering
Intelligent Parsing Agent for Electrical Tender Documents – A seven-step workflow + document processing ledger, enabling multi-format uploads, automatic equipment parameter extraction, evidence review, and closed-loop manual verification. Supports hot-switching between DeepSeek and local graphics card LLM.
Official Training and Benchmarking Implementation of PDMD: Projected Distribution Matching Distillation for Video Diffusion Models
Step-by-step handbook for building autonomous security agents with clear limits, runnable lessons, diagrams, and honest evidence.
Claude skill that turns a book (EPUB, PDF, HTML, DOCX, Markdown) into an interactive beginner-friendly course: step-by-step lessons, animations, quizzes, chapter tests, flashcards and coding exercises checked by unit tests, with progress saved to files. Runs in the browser, or packaged as an Android APK or a Linux AppImage.