# The Unofficial and Awesome Home Assistant MCP Server A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with Home Assistant. Using natural language, control smart home devices, query states, execute services and manage your automations.
You ask a business question, it runs a pipeline of 18 agents that frame the question, explore your data, find the root cause, build a narrative, and hand you a validated slide deck with speaker notes. 18 specialized agents | 39 auto-applied skills | 20 slash commands | DAG-based parallel execution | PDF + HTML export --- This is a tool for analysts, not a replacement for them.
CowAgent is lightweight, easy to deploy, and built to extend. Plug in any major LLM provider and run it 24/7 on a personal computer or server, across the web and all major IM platforms.
A collection of AI agent skills focused on marketing tasks. Built for technical marketers and founders who want AI coding agents to help with conversion optimization, copywriting, SEO, analytics, and growth engineering.
Claude Trading Skills started as a personal project to use AI to improve my own trading process. Claude Trading Skills is a Claude Skills-based trading workflow toolkit for time-constrained individual investors.
Built on iii engine Persistent memory for Claude Code, GitHub Copilot CLI, Cursor, Gemini CLI, Codex CLI, Hermes, OpenClaw, pi, OpenCode, and any MCP client. English | 简体中文 | 繁體中文 | 日本語 | 한국어 | Español | Türkçe | Русский | हिन्दी | Português | Français | Deutsch The gist extends Karpathy's LLM Wiki pattern with confidence scoring, lifecycle, knowledge graphs, and hybrid search: agentmemory is the implementation.
why use many token when few do trick Make your AI coding agent talk like a caveman. 65% fewer output tokens on prose, 8.5% on agentic coding runs .
~54% less code (up to 94%) · ~20% cheaper · ~27% faster · 100% safe Measured on real Claude Code sessions editing a real open-source repo (FastAPI + React), against the same agent with no skill. ~54% is the mean across 12 feature tasks (Haiku 4.5, n=4); it reaches 94% where an agent over-builds (a date picker) and is near zero where the code is already minimal.
A Model Context Protocol (MCP) server that brings Firecrawl to MCP-compatible AI agents — search, scrape, and interact with the live web for clean, agent-ready context. Connect to the remote hosted server with no setup: On the keyless free tier, scrape, search, and interact work without an API key (rate-limited).
# The Unofficial and Awesome Home Assistant MCP Server A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with Home Assistant. Using natural language, control smart home devices, query states, execute services and manage your automations.
You ask a business question, it runs a pipeline of 18 agents that frame the question, explore your data, find the root cause, build a narrative, and hand you a validated slide deck with speaker notes. 18 specialized agents | 39 auto-applied skills | 20 slash commands | DAG-based parallel execution | PDF + HTML export --- This is a tool for analysts, not a replacement for them.
CowAgent is lightweight, easy to deploy, and built to extend. Plug in any major LLM provider and run it 24/7 on a personal computer or server, across the web and all major IM platforms.
A collection of AI agent skills focused on marketing tasks. Built for technical marketers and founders who want AI coding agents to help with conversion optimization, copywriting, SEO, analytics, and growth engineering.
Claude Trading Skills started as a personal project to use AI to improve my own trading process. Claude Trading Skills is a Claude Skills-based trading workflow toolkit for time-constrained individual investors.
Built on iii engine Persistent memory for Claude Code, GitHub Copilot CLI, Cursor, Gemini CLI, Codex CLI, Hermes, OpenClaw, pi, OpenCode, and any MCP client. English | 简体中文 | 繁體中文 | 日本語 | 한국어 | Español | Türkçe | Русский | हिन्दी | Português | Français | Deutsch The gist extends Karpathy's LLM Wiki pattern with confidence scoring, lifecycle, knowledge graphs, and hybrid search: agentmemory is the implementation.
why use many token when few do trick Make your AI coding agent talk like a caveman. 65% fewer output tokens on prose, 8.5% on agentic coding runs .
~54% less code (up to 94%) · ~20% cheaper · ~27% faster · 100% safe Measured on real Claude Code sessions editing a real open-source repo (FastAPI + React), against the same agent with no skill. ~54% is the mean across 12 feature tasks (Haiku 4.5, n=4); it reaches 94% where an agent over-builds (a date picker) and is near zero where the code is already minimal.
A Model Context Protocol (MCP) server that brings Firecrawl to MCP-compatible AI agents — search, scrape, and interact with the live web for clean, agent-ready context. Connect to the remote hosted server with no setup: On the keyless free tier, scrape, search, and interact work without an API key (rate-limited).