Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
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Jul 24, 2026 - JavaScript
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Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.
Build an AI communication analyzer from scratch to understand how AI products actually work. Learn prompt engineering, reasoning pipelines, and local LLM integration using Node.js - no frameworks, no abstractions, just fundamentals
react nodejs express typescript educational learning-resource ai-product llm prompt-engineering local-llm gguf node-llama-cpp
Context engineering decides what a model sees. 14 self-contained examples that build the mental model one piece at a time, Node.js + local GGUF. Understand deeply, then use frameworks wisely. Hands-on context engineering - all local.
nodejs javascript tutorial memory embeddings multi-agent educational from-scratch ai-agents few-shot-learning rag ai-engineering llm prompt-engineering local-llm node-llama-cpp agentic-ai context-engineering
The friendly and powerful desktop AI chatbot supporting both local and cloud AI models
How little can you write and still get everything right? Play text golfing with node-llama-cpp's Jev-like structured decisions, completely locally, no cloud
electron game playground typescript self-hosted golfing-challenges llm llama-cpp local-ai node-llama-cpp jev system-one structured-decisions
StratoSortStack turns file chaos into clarity with privacy-first, on-device AI. Auto-organize, semantic search, chat with your docs, and a knowledge graph, all 100% offline.
electron react nodejs desktop-app linux knowledge-graph file-management document-management semantic-search privacy-tools rag windows-11 vector-embeddings apple-silicon orama gguf node-llama-cpp azure-artifact-signing apple-notarization
AHIVE Ecosystem: A full-stack Multi-Agent system featuring a Local LLM Core Engine, Tauri-based IDE, 3D Visualization Dashboard, and Electron Desktop App.该系统强调**本地化部署**(Local-First)和**可视化交互**,支持多智能体(Multi-Agent)协同工作,适用于个人开发者、AI 研究团队及企业级自动化场景。
developer-tools electron-app multi-agent-systems 3d-visualization workflow-automation solidjs react-flow ai-agent tauri-apps node-llama-cpp open-source-ai agent-orchestration local-llm-support ahive
Ts RAG system. ingest documents, creates embeddings, stores in pgvector and query through cli or mcp server. fully local with node-llama-cpp
A retro terminal AI companion that runs open language models entirely on your own machine — no cloud, no accounts, no telemetry.
electron desktop-app privacy ai offline retro local-first llm llama-cpp local-llm gguf node-llama-cpp
A comprehensive Next.js application for running and exploring .gguf open-source LLM models locally.
🤖 Build an AI agent from scratch to analyze emotional impact in messages, enhancing your understanding of AI product development principles.
react nodejs express typescript educational learning-resource ai-product llm prompt-engineering local-llm gguf node-llama-cpp
🤖 Run any GGUF language model locally with a Claude-inspired UI. Built-in HuggingFace downloader, real-time streaming, dark/light mode & code highlighting. Zero API keys. NVIDIA CUDA supported. Deploy free on HuggingFace Spaces.
Autonomous, privacy-first AI companion browser powered by Qwen 2.5 local LLM, Chrome DevTools Protocol & real-time HTTP automation API
electron browser-automation chrome-devtools-protocol privacy-first ai-agent local-ai node-llama-cpp qwen2-5 ai-browser autonomous-browser
AI-powered web development with local LLM inference using Electron and node-llama-cpp
人造人18号 AI 桌宠:Electron 透明桌面宠物,支持 DeepSeek 等云端 API 与本地 GGUF 离线模型,兼容 SillyTavern 角色卡(JSON / PNG),带好感度、对话模拟与声明式插件
electron typescript desktop-pet dragon-ball character-card ai-chat llm llama-cpp sillytavern gguf node-llama-cpp deepseek
Privait is a self-hosted personal AI system that combines LLMs, vector memory, and RAG to create a private, extensible AI workspace.
Local-first hybrid cli search engine (BM25 + Vector) for personal knowledge bases and agentic workflows. Runs entirely on-device via node-llama-cpp.
markdown cli search-engine knowledge-base semantic-search rag vector-search local-first llm node-llama-cpp mcp-server
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