home-memory — MCP Server by impactjo

by impactjo · MCP Server · ★ 76

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About home-memory

Home Memory Ask your home. Your AI assistant's memory for everything in and around your home. ▶ Watch the 1-minute demo on YouTube Home Memory is an MCP server that gives your AI assistant structured, persistent knowledge about your home: every room, every device, every pipe and cable, every item you own. It works with AI clients on your computer that support MCP, including Claude Desktop, Claude Code, Codex App, Codex CLI, and others. You talk naturally; the AI reads and writes your home data through Home Memory's tools. Document what exists, plan what's coming, and keep track of what's been removed. No app to learn. No forms to fill out. Your home data stays in a single file on your machine, and the AI is your interface. Tell your AI about

buildingclaudecsharpdotnetfirebirdhome-documentationhome-inventoryhome-inventory-managerhousemcp

Quick Facts

Stars76
Forks3
LanguageC#
CategoryMCP Server
LicenseAGPL-3.0
Quality Score69.567453236026/100
Open Issues3
Last Updated2026-06-21
Created2026-03-13
Platformsclaude-code, dotnet, mcp
Est. Tokens~20k

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Frequently Asked Questions

What is home-memory?

home-memory is MCP server that lets your AI assistant remember everything about your home.. It is categorized as a MCP Server with 76 GitHub stars.

What programming language is home-memory written in?

home-memory is primarily written in C#. It covers topics such as building, claude, csharp.

How do I install or use home-memory?

You can find installation instructions and usage details in the home-memory GitHub repository at github.com/impactjo/home-memory. The project has 76 stars and 3 forks, indicating an active community.

What license does home-memory use?

home-memory is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to home-memory?

The top alternatives to home-memory on Agent Skills Hub include CoWork-OS, MCPSharp, SharpToolsMCP. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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