davidzwz

Professional software vendor delivering innovative solutions on the Softono platform. Specialized in both open-source and proprietary software development.

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Open Source

Awesome-Deep-Research

Awesome-Deep-Research is a curated collection of resources for Agentic Deep Research, bridging artificial intelligence and autonomous agents. Aimed at researchers, developers, and enthusiasts, it tracks the evolution from traditional web search to reasoning-driven agent capabilities. The repository features a comprehensive analysis of industry trends, including products like Google Gemini Deep Research, OpenAI Deep Research, Perplexity, xAI Grok Agents, Microsoft Copilot Researcher, Anthropic Research, and Manus. It catalogs open-source implementations, tools, and frameworks necessary for building similar systems. The collection also includes a repository of the latest academic papers, research breakthroughs, and evaluation benchmarks to measure progress in this field. Additionally, it provides access to a position paper titled From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents, which outlines existing paradigms and future directions. This project serves as a central hub

AI Agents Wiki & Knowledge Base

762 Github Stars

Open Source

Awesome-RAG-Reasoning

Awesome-RAG-Reasoning is a curated repository bridging Retrieval-Augmented Generation (RAG) and advanced Reasoning in Large Language Models and Agents. It addresses the limitations of standalone approaches by combining external knowledge retrieval with deep logical inference to create powerful Agentic AI systems. The collection includes research papers, tools, and implementations focused on unifying these traditionally separate domains. Based on the framework presented in the EMNLP 2025 survey Towards Agentic RAG with Deep Reasoning, it provides resources for handling complex, multi-step inference tasks while ensuring up-to-date and factual accuracy. The repository is designed for researchers and practitioners aiming to develop sophisticated deep research capabilities, moving beyond simple search queries to enable agents that can systematically analyze information, perform causal understanding, and solve intricate problems. It also highlights connections to adjacent fields like Agentic Deep Research, offering

ML Frameworks Documentation

437 Github Stars