#javascript #ai_agents #anthropic #claude #claude_code #developer_tools #llm #mcp #productivity

Everything Claude Code is a top-rated (50K+ stars) plugin system that boosts AI coding agents like Claude Code with 28 agents, 116 skills, 59 commands, hooks, rules, and security scans across 10+ languages (TypeScript, Python, Go, Java, etc.). Install via `/plugin install` for quick setup, then use `/plan`, `/tdd`, or `/code-review` to automate planning, testing, reviews, and builds. It cuts token costs 60%+, enables continuous learning from sessions, and works on Cursor, Codex, OpenCode. You save hours on tedious tasks, get production-ready code faster with less errors, and scale complex projects effortlessly.

https://github.com/affaan-m/everything-claude-code

#typescript #agent #agentic_rag #ai_coding #claude_code #code_generation #code_search #cursor #embedding #gemini_cli #mcp #merkle_tree #nodejs #openai #rag #semantic_search #typescript #vector_database #vibe_coding #voyage_ai #vscode_extension

Claude Context is a plugin that adds semantic code search to Claude Code and other AI tools, using your full codebase as context via a vector database like Zilliz Cloud. It finds relevant code instantly with natural language queries, indexes efficiently (only changed files), and cuts token use by ~40% for the same quality. You save costs on large projects, get precise results without loading whole files, and code faster with deep, relevant context across millions of lines. Setup needs free Zilliz/OpenAI keys and Node.js 20+; works with VS Code, Cursor, and more.

https://github.com/zilliztech/claude-context

#typescript #antigravity #claude #claude_code #claude_code_hooks #claude_code_plugins #claude_code_skill #codex #codex_cli #context_mode #copilot #cursor_plugin #kiro #mcp #mcp_server #mcp_tools #openclaw #opencode #pi_agent #skills #zed_extension

Context Mode is an MCP server that fixes context window overload in AI coding tools by sandboxing raw data (like 56KB snapshots or logs) outside chats—shrinking 315KB to 5.4KB (98% savings), tracking sessions in SQLite for seamless resumes after compaction, and making LLMs generate code for analysis instead of dumping data. It installs easily on 12 platforms (Claude Code, Cursor, etc.) with hooks for auto-routing. You benefit by extending sessions 6x longer, picking up tasks instantly without re-explaining, and boosting productivity on big repos or logs.

https://github.com/mksglu/context-mode

#python #api #ddgs #dht #mcp #mcp_server #metasearch #p2p #python #search #websearch

DDGS is a Python library (version 3.10+) for metasearch that pulls text, images, videos, news, and books from engines like Bing, DuckDuckGo, and Google. Install with `pip install ddgs`, use `DDGS().text("query")` for fast results, or run API/CLI servers for web access; optional DHT (Linux/macOS) shares anonymous caches to cut latency 90% and dodge rate limits. It benefits you by delivering quick, diverse, aggregated search data without single-engine restrictions or slow repeats—ideal for apps, scripts, or tools needing reliable info fast.

https://github.com/deedy5/ddgs

#rust #ai #claude #cli #coding_agent #llm #mcp #openai #rust #terminal #tui

jcode is a fast, low-RAM coding agent for Linux, macOS, and Windows that boosts your skills with multi-session workflows, smart memory recall, swarm collaboration, side panels for diagrams/files, and logins for models like Claude or OpenAI. Install easily via `curl -fsSL https://raw.githubusercontent.com/1jehuang/jcode/master/scripts/install.sh | bash`, then run `jcode`. It uses far less memory (27MB vs. 300MB+ for rivals) and starts in 14ms, letting you handle many agents smoothly without slowdowns or high costs—perfect for efficient, scalable coding.

https://github.com/1jehuang/jcode

#javascript #agent #ai #coding #course #deepseek #gemini #genai #gpt #llm #low_code #mcp #nextjs #no_code #openai #programming #tutorial #vibe_coding #vibecoding #vscode #workflow

# Easy-Vibe: Learn to Build Apps by Speaking

Easy-Vibe is a learning platform that teaches you to create real applications using AI by simply describing what you want. It offers beginner-friendly guides, step-by-step visual tutorials, and interactive coding simulations that make learning feel like having a private tutor. The platform covers everything from your first project to advanced full-stack development, with animated explanations of AI principles and game-like learning for complex topics like data retrieval systems. You benefit by gaining practical skills to turn ideas into working products quickly, whether you're a complete beginner, student, or developer wanting to master AI-assisted coding in the modern era.

https://github.com/datawhalechina/easy-vibe

#python #automation #claude #mcp #notebooklm #skill

This tool turns many kinds of content, like web pages, PDFs, podcasts, videos, and files, into formats like podcasts, PPTs, mind maps, quizzes, and reports with NotebookLM. It can also handle many sources automatically, including public pages, social posts, and some paywalled articles, and it supports Chinese and English well. The benefit to you is simple: you can save time, understand content faster, and reuse the same material in the format you need for study, work, or sharing.

https://github.com/joeseesun/qiaomu-anything-to-notebooklm

#typescript #ai_agent #ai_coding_agent #anthropic #bun #claude #cli #coding_assistant #llm #mcp #multi_provider #openai #rust #terminal #tui #typescript

omp is a coding agent with the IDE built in. It works on macOS, Linux, and Windows, and gives you many tools for reading, editing, searching, debugging, browser use, and subagents. It can use lots of AI providers and model choices, and it is made to work well right away with real coding tasks. The benefit for you is faster, more accurate coding help in one place, with less setup and fewer extra tools.

https://github.com/can1357/oh-my-pi

#python #agents #ai #ai_agents #ai_engineering #computer_vision #course #deep_learning #from_scratch #generative_ai #llm #machine_learning #mcp #nlp #python #reinforcement_learning #rust #swarm_intelligence #transformers #tutorial #typescript

This is a free MIT learning guide for AI engineering with 428 lessons in 20 phases. It teaches you AI from the math up, then moves into machine learning, deep learning, LLMs, agents, tools, safety, and production. Each lesson helps you build useful code or AI tools, not just read theory. You can start at the right level, follow a clear path, and keep reusable artifacts for real work. The benefit is simple: you learn how AI actually works and gain practical skills you can use to build and ship better AI systems.

https://github.com/rohitg00/ai-engineering-from-scratch

#python #ai_agents #claude_code #cloud_security #cybersecurity #devsecops #ethical_hacking #incident_response #infosec #llm #malware_analysis #mcp #mitre_attack #nist_csf #osint #penetration_testing #red_team #security #security_automation #threat_hunting #threat_intelligence

Anthropic Cybersecurity Skills is a free, open-source library with 754 ready-made security skills for AI agents across 26 domains. It helps an AI act more like a senior security analyst by giving clear workflows, checks, and verification steps. It also maps each skill to major security frameworks like MITRE ATT&CK, NIST CSF 2.0, ATLAS, D3FEND, and NIST AI RMF. The benefit is faster, smarter, and more reliable security work with less guesswork.

https://github.com/mukul975/Anthropic-Cybersecurity-Skills