📓 An MCP server for managing your personal knowledge, daily notes, and re-usable prompts via GitHub Gists

A lightweight, Git-backed permanent memory for AI agents.

MCP server that execute applescript giving you full control of your Mac

Simple standalone MCP server giving Claude the ability to remember your conversations and learn from them over time.

Danger. Danger. High Voltage. Give your codex/claude access to WhatsApp

MCP server giving AI assistants full access to Apple Mail - read, search, compose, organize & analyze emails via natural language

Free, open-source MCP server giving AI assistants 17 weather tools — a one-call weather summary plus forecasts, alerts, air quality, marine, radar, lightning, rivers, wildfires, and historical data back to 1940. Ask by city name or coordinates. Built on free public APIs (NOAA, Open-Meteo). No API keys, no signup.

Synapse is a local-first personal memory operating system designed for AI agents. It provides durable, typed, and highly reliable long-term memory using only local SQLite — giving agents the ability to remember, update, and reason over facts across sessions with full user control.

Analyze listening patterns, build playlists, find missing albums, discover similar artists via Last.fm, fetch synced lyrics, and explore global radio. Play it all through your speakers via mpv, with a built-in web UI that makes any device with a brower act as a remote. Gives full control of your Navidrome library using natural language.

Token usage tracker for (not only) OpenCode

A macOS menu bar application that monitors AI coding assistant usage quotas. Keep track of your Claude, Codex, Antigravity ,and Gemini usage at a glance.

A persistent local memory for AI, LLMs, or Copilot in VS Code.

memX: self-learning, self-maintaining memory plugin for AI agents; native support for claude code, codex, and openclaw

MCP server that lets your AI assistant remember everything about your home.

A memory plugin for AI coding that turns engineering experience, repository knowledge, and your way of working into memory that remains useful in future tasks.

Evidence-based learning engine — first-principles curricula, free-recall verification with receipts, FSRS-scheduled memory, and explorable artifacts. Learn anything; keep it.