Artificial Intelligence Articles

Discover Awesome-AI-Memory, the definitive curated repository with 399+ papers and 104+ frameworks solving LLM amnesia. Learn how to build AI systems with genuine long-term memory, persistent personalization, and adaptive evolution through systematic memory architecture.

Skyvern AI revolutionizes browser automation by replacing brittle XPath selectors with vision-capable LLMs. Learn installation, real code examples, and why developers are switching from traditional RPA tools.

AgentRC by Microsoft auto-generates AI coding instructions by reading your actual codebase. Measure readiness across 9 pillars, generate tailored context via Copilot SDK, and prevent drift with built-in evaluation. Works as CLI, VS Code extension, and CI quality gate.

Discover how to build production-grade agentic RAG systems without writing code using the Claude Code Agentic RAG Masterclass. An 8-module course where you collaborate with AI to create hybrid search, reranking, text-to-SQL, and subagent architectures.

PicoClaw is an ultra-lightweight AI assistant written in Go that runs on 10MB RAM and $10 hardware. With 26K+ GitHub stars, native MCP support, and cross-architecture portability, it's redefining edge AI deployment.

Discover the AI Engineering Hub: 93+ production-ready open-source projects covering LLMs, RAG systems, and AI agents. From beginner OCR apps to advanced fine-tuning pipelines, build real-world AI engineering skills through structured project-based learning.

MemOS is an open-source Memory Operating System for AI agents that delivers 43.7% better accuracy than OpenAI Memory with 35% token savings. Features graph-structured memory, multi-modal support, and self-evolving skill crystallization. Deploy self-hosted or cloud.

ScreenAgent is an IJCAI-24 visual language model agent that autonomously controls computers by perceiving screenshots and outputting mouse/keyboard actions. Learn how to deploy this open-source breakthrough.

EduRAG transforms video lectures into LLM-powered knowledge bases using RAG architecture. Learn how this open-source tool builds your personal AI teacher with Whisper, embeddings, and semantic search.

Emdash is the YC-backed open-source Agentic Development Environment that runs 27+ AI coding agents in parallel using git worktree isolation. Stop context-switching between AI tools and orchestrate genuine parallel agent workflows.

Master Claude Code automation with this complete guide covering Skills, Hooks, MCP integrations, Agent Teams, and the BMAD method. Based on the definitive open-source repository with real code examples and production-ready configurations.

Discover Hindsight, the biomimetic agent memory system that outperforms RAG and knowledge graphs on LongMemEval benchmarks. Learn how to add true learning capabilities to your AI agents with just 2 lines of code.

Discover DART-GUI's revolutionary decoupled training and adaptive data curation for GUI agents. This open-source framework trains computer-use AI with production-grade infrastructure, multi-turn RL optimization, and intelligent trajectory filtering.

Mango Finder is an open-source desktop app that searches your local documents using natural language across multiple devices. Built with Tauri and Rust, it offers semantic search, multi-modal similarity detection, and complete privacy with local-first AI models.

PAL MCP Server transforms Claude Code, Codex CLI & Gemini CLI into a unified AI dev team. Orchestrate Gemini, GPT-5, O3, Grok & local models with seamless context continuity. Install in 5 minutes.

Discover Moltis, the secure Rust personal agent server with voice I/O, browser automation, and sandboxed execution. Self-host your AI agent with zero cloud dependency, multi-provider LLMs, and enterprise-grade security in a single binary.

Discover how Google's MCP Toolbox for Databases connects AI agents to 15+ databases via the Model Context Protocol. Complete setup guide, real code examples, and security best practices for production AI applications.

Discover AI Engineering Hub: 93+ production-ready projects for LLMs, RAG, and AI agents. Structured learning from beginner to advanced with real code, MCP coverage, and multimodal systems. Stop watching tutorials—start building.