#open-source research AI
2637 related articles
·2 min
Vibe-Research Deep Dive: A Complete Guide to This Open-Source AI Investment Research System
A hands-on look at Vibe-Research, an open-source AI investment research tool supporting A-share, HK, and US stocks, with DeepSeek, Claude, and Codex integration.
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Open Deep Research: A Complete Guide t…
·2 min
Open Deep Research: A Complete Guide to LangChain's Open-Source AI Research Agent
A deep dive into LangChain's open-source project open_deep_research: an AI deep research agent built on LangGraph, supporting flexible multi-model and multi-search tool configuration, with 12,000+ stars.
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·3 min
Light-Skills: Open-Source Research AI with 28 Skill Modules Covering the Full Workflow
Light-Skills is an MIT-licensed open-source research AI with 28 interconnected Skills, 9 knowledge bases, 317 knowledge cards, and 49 scripts covering the full research workflow — with a hard rule against fabricating citations or data.
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Tutorials·2 min
NVIDIA Open-Sources AI-Q: A Skill Pack That Gives Coding Agents Deep Research Capabilities
NVIDIA open-sources AI-Q skill pack, giving coding Agents like Claude Code and Codex a four-stage deep research pipeline with MCP protocol, local deployment support, and 94% benchmark accuracy.
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Product Reviews·2 min
Claude Scholar Open-Source Framework: A Practical Guide to AI-Assisted Academic Research Across the Full Lifecycle
Claude Scholar is an open-source academic research framework built on Claude Code, covering seven stages from topic selection to reviewer response, with Zotero and Obsidian integration.
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Tech Frontiers·3 min
LangGraph Multi-Agent Company Research Tool: A Practical Guide to Open-Source AI Due Diligence
Deep dive into the open-source company-research-agent: LangGraph multi-agent architecture + Tavily search + dual-LLM collaboration for automated company due diligence and competitive intelligence.
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Tech Frontiers·3 min
Karpathy Open-Sources autoresearch: A Deep Dive into the AI-Powered Automated Research Tool with 80K Stars
Andrej Karpathy open-sources autoresearch, an AI Agent tool that automates nanochat training experiments on a single GPU. With 80K+ GitHub Stars, we break down its architecture and impact.
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Product Reviews·2 min
Deep Research Web UI: An Open-Source AI Deep Research Assistant with DeepSeek R1 Support
Deep Research Web UI is an open-source AI research assistant supporting DeepSeek R1, enabling automated deep research through iterative search, web scraping, and LLM reasoning. 2100+ Stars on GitHub.
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Tech Frontiers·1 min
Opus-NX: Deep Dive into an Open-Source AI Reasoning Research Platform
Deep analysis of Opus-NX, an open-source AI reasoning research platform featuring persistent reasoning graphs, Graph-of-Thoughts, multi-agent swarms, and MemGPT-style memory.
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·2 min
antirez Strikes Again: ds4, a Pure C Local Inference Engine for DeepSeek 4
Redis creator antirez open-sources ds4, a pure C local inference engine for DeepSeek 4 Flash and PRO with native Metal, CUDA, and ROCm support, earning nearly 20K GitHub stars.
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·3 min
Control Theory Meets Machine Learning: A Learning Roadmap from Fundamentals to the Cutting Edge
A tailored ML guide for control theory learners covering reinforcement learning, data-driven control, Learning-based MPC, and a three-stage roadmap with practical advice.
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·3 min
Face Recognition Attendance Systems: Technical Implementation & Privacy Compliance Guide
A detailed guide on face recognition attendance systems covering technical principles, open-source tools, system architecture, and biometric data privacy compliance for responsible classroom automation.
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·3 min
Training a 1.3B Parameter LLM from Scratch: Complete Workflow and Core Challenges
A deep dive into the complete workflow of training a 1.3B parameter LLM from scratch, covering Transformer architecture design, data preparation, and distributed training optimization.
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·3 min
Giving AI Root Access to a Computer and a Bank Card: A Full Breakdown of the Autonomous Money-Making Experiment
A developer gave an AI agent Mac root access, a bank account, and an iOS app with the directive to "make as much money as possible." A deep dive into the technical architecture, MCP protocol, security risks, and implications for AI development.
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·3 min
Which ML Projects Will Actually Help You Land a Job Offer?
Ditch overused tutorial projects. Learn what hiring managers actually look for in ML portfolios: LLM apps, Agent systems, MLOps practices, and real-world solutions.
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·3 min
Practical Guide to Self-Hosted Security Architecture with Tailscale + Caddy + Authelia
Deep dive into the Tailscale + Caddy + Authelia self-hosted security architecture: traffic flow analysis, design strengths, and common pitfalls for building secure multi-server setups.
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·3 min
Locally Deploying LLMs for Trading Bots: Hardware Selection & Model Recommendations
How to deploy LLMs locally on AMD RX 7800 XT 16GB for trading bots: ROCm ecosystem, 7B-14B model picks (Qwen2.5, Llama 3.1), Ollama/LM Studio setup, and system architecture design.
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·3 min
Why Musk's xAI Can Keep Pace with the AI Leaders While Meta Falls Behind
Deep comparison of Musk's xAI vs Zuckerberg's Meta in the AI race. Analyzing why xAI achieves more with less while Meta's massive spending yields limited breakthroughs.
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·2 min
AI Acceleration Out of Control? Frontier Labs Call for Deceleration Mechanisms
A frontier AI lab publicly states that future AI-accelerated development may become too fast, calling for deceleration mechanisms. This article examines recursive self-improvement concerns, tripartite governance, and execution challenges.
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·4 min
SELENE Open-Source Project: An Interactive Notebook Library for Systematically Learning AI and Machine Learning from Scratch
SELENE is an open-source AI learning resource built on Jupyter Notebooks, systematically covering ML, deep learning, Transformers, and LLMs with interactive code and math derivations for beginners.
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