WFGY
onestardao
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug…
OPENAGENTSKILL / DIRECTORY
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Results: 158
onestardao
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug…
BidingCC
AI时代的WordPress,东半球首个积木式AI应用搭建系统,人人都可免费搭建自己的AI应用系统,例如企业智能体系统、AI漫剧系统、AI论文学术系统、AI客服系统...
xhluca
Fast BM25 search in Python, powered by Numpy and Numba
CaviraOSS
PageLM is a community driven version of NotebookLM & a education platform that transforms study materials into interactive resources like quizzes, flashcards, notes, and…
ExplosiveCoderflome
面向长篇小说创作的 AI Native 开源系统,用 Agent、世界观、写法引擎、RAG 和整本生产工作流,帮助新手从一句灵感走到完整小说。AI-native engine for end-to-end novel creation — from idea to full chapters, with structured plann…
NirDiamant
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle…
BAI-LAB
[EMNLP 2025 Oral] MemoryOS is designed to provide a memory operating system for personalized AI agents.
NVIDIA-AI-Blueprints
The NVIDIA VSS Blueprint is a suite of reference architectures for building GPU-accelerated vision agents and AI-powered video analytics applications.
AIDC-AI
An AI-powered custom node for ComfyUI designed to enhance workflow automation and provide intelligent assistance
VoltAgent
A curated collection of AI agent research papers released in 2026, covering agent engineering, memory, evaluation, workflows, and autonomous systems.
volcengine
MineContext is your proactive context-aware AI partner(Context-Engineering+ChatGPT Pulse)
aws-samples
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
import-ai
Collect, organize, use, and share, all in OmniBox.
PacktPublishing
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
aws-samples
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) us…
aws-samples
Application implementation with business use cases for safely utilizing generative AI in business operations
Design direction, Figma implementation, UI review, React performance, browser QA, and safe preview deployments.
Code review, repo inspection, testing, planning, shipping, and engineering workflows for coding agents.
Research, recent-events briefings, PDF parsing, markdown conversion, RAG ingestion, and knowledge workflows.
Stock analysis, market research, quant backtesting, financial data, and investment research skills.
Crawling, scraping, extraction, browser automation, structured data capture, and website-to-markdown workflows.
Video-generation prompts, B-roll, Vox-style explainers, camera direction, captions, and creative-production workflows.
Image, video, creative production, UI design, multimodal generation, and visual workflow skills.
Data analysis, analytics, ETL, notebooks, databases, tables, charts, and reporting workflows.