Claude Code skill: four-phase plan hardening (recon, interrogate, Codex adversarial review, cross-model build & inspection) — two AI models harden your plan before a line of code exists, then swap jobs to build it. Whoever built it never grades it.
KiCAD MCP is a Model Context Protocol (MCP) implementation that enables Large Language Models (LLMs) like Claude to directly interact with KiCAD for printed circuit board design.
A modular, stack-agnostic toolkit for AI coding agents to autonomously find, reproduce, and patch vulnerabilities.
A Multilingual, Multimodal Translation Model Family
AssetFurnace: the most complete open-source image-to-3D pipeline (Oct 2026). Prompt or picture → textured, rigged, animated game character, locally on Apple Silicon or NVIDIA. Pixal3D, TRELLIS.2, Hunyuan3D, SF3D, auto-rig and 21 moves. For indie game devs and 3D artists. Free, Apache-2.0.
🔥 On-Policy Self-Distillation in Diffusion Models
An all-in-one, 100% local AI video, image, and music studio. Director mode plans full music videos and short films from a single prompt. Built on the WanGP pipeline. Install via Pinokio.
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.
VideoJev: System One Model for Video Understanding and Interaction
End-to-end streaming data platform on AWS: Kafka → Iceberg lake → Kimball model → Athena, orchestrated with Airflow 3. Terraform, Glue PySpark, dbt.
A 4B grounding foundation model for physical intelligence. Unifies detection, referring, pointing, OCR, GUI, and layout grounding, achieving SOTA overall across 34 benchmarks and improving robot generalization and data efficiency in controlled evaluations.
麦当劳 MCP 全能助手 | 全覆盖 35 个工具 · 7 大工作流 · 14 条防错铁律 | 领券 / 点餐 / 外送 / 派对预约 / 积分到期止损,附零依赖 CLI 通道
Fast, local, read-only MCP Server for WeChat (4.x/3.x) & DingTalk (7.x V2/V3) chat history with FTS5 search
Load a modified VBIOS per NVIDIA GPU at boot on Linux, in memory, through the open kernel modules
Self-hosted voice agent platform: import your Dialogflow CX and CX Agent Studio agents, build and test them, and take calls on your own hardware. 20 model providers, phone and SIP through jambonz.
The official gpt4free repository | various collection of powerful language models | opus 4.6 gpt 5.3 kimi 2.5 deepseek v3.2 gemini 3
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
SQL databases in Python, designed for simplicity, compatibility, and robustness.
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
⚡ TabPFN: Foundation Model for Tabular Data ⚡
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
Comprehensive production pipeline for quad-modal AI filmmaking with Seedance 2.0
Qwen's most powerful open-source image generation model
AI-native agent harness for coding workflows by python: multi-model LLM orchestration, stateful sessions, tool governance, traceable delivery, and provider routing for GPT, Claude, DeepSeek, Qwen, Kimi, GLM, and MiniMax.
Benchmark for tracking model capability after release.
Open Reality: phone video to AI-queryable 3D scenes. MCP tools for Claude/Codex/Cursor (npm openreality-mcp), the self-hostable broker, and the VGGT-SLAM library, in one repo. BSD-2-Clause.
One zero-dependency CLI for every MCP server and agent skill. Token optimization, tool discovery and context compression: 71,929 -> 581 tokens (-99.2%, measured), schemas stay out of context. One config for Claude Code, Codex, Cursor, every agent. 341KB, pure Python. | 零依赖 CLI:管所有 MCP 工具与技能,工具发现省 99.2% token。
斑海豹 — Phocinae-Largha-150M-v1: a 144.3M bilingual decision model. Tiny model. Big decisions. 小海豹,大决断。
Jeva: System One Models from First Principles
NSC measures neural architecture capacity directly from network specifications, without data, gradients, or model instantiation. Its additive structure enables exact architecture optimization under resource budgets in seconds on a CPU.
Official Code for "Video Diffusion Avatars: Taming Video Diffusion Models into Controllable 3D Avatars"
Decoding the Super Mario 64 courtyard plaque ("L is real 2401"): font identification, forward model of the 1996 texture, line-by-line decoding, report and full reproduction code.
A zero-embedding approach to video intelligence, using Jev: contact sheets + typed decisions, as MCP tools and a skill for any coding agent.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Chronos: Pretrained Models for Time Series Forecasting
Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.
【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。
Modern YouTube downloader with a clean PySide6 interface. Download videos in any quality, extract audio, fetch subtitles, sponsorBlock, and view video metadata. Built with yt-dlp for reliable performance.
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
🤖 Local-assist BOSS Zhipin CLI for AI agents — search, welfare filtering, shortlist, JSON-envelope output; low-risk & compliant by default.
Newest, latest and most advanced model that is able to control computers and even more. We're improving that model day by day, so follow up to know and see new models.
A high-performance framework for training LLMs, VLMs, diffusion, and embodied models on NVIDIA GPUs and Kunlun XPUs. Supports Pi0.5, GR00T-N1.7, FastWAM, Cosmos3, DreamZero, DeepSeek-V4, GLM-5.3, Kimi-K3 and more.
A small, fast decision model, or system one model, for agentic workflows. Pick between options or rate on a scale faster than an LLM, with a calibrated confidence on every decision.
EMERGE-Policy: A Robot Mind Emerges Beyond a Single Policy
OmniCompass: A Holistic Benchmark for Omni-Modal Video Grounding and Understanding
EvoSCM: Scientific Belief Revision Through Causal Model Evolution and Experimentation
Perceptive behavioral foundation models for terrain-adaptive humanoid control: motion tracking, goal reaching, reward inference and teleoperation.
Face unlock for Linux with real liveness detection: a PAM module, a daemon, and an Omarchy lock screen indicator
Yuki: a text-only Galgame reading companion; source backup without models, credentials or local data
Official code, locked protocols, and audit artifacts for "Jev-Routed Temporal Granularity with Recovery and Hysteresis for Causal Video Generation": per-segment fine/coarse/hold routing for Causal-rCM (Wan2.1-1.3B) via the Jev oracle, with two-GPU (T4/A100) feasibility audits.
Code for 'Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models' (ICML 2026)
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Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Train transformer language models with reinforcement learning.
📊 Python APIs for Web Automation, E2E Testing, and Data Scraping. CDP Mode bypasses bot-detection and handles CAPTCHAs. Includes a Stealth mode for Playwright.