Where are reminders stored and how can they be managed?

Reminders are stored in a simple, human-readable JSON file (~/.claude_reminders.json). Agents can check existing reminders, create new ones, mark them as complete, delete them, or move them to permanent notes.

How does Reminders improve AI agent performance?

It ensures session continuity, prevents context loss after restarts, helps agents track patterns, store ideas for future exploration, and manage high-priority tasks efficiently.

What is Reminders for AI agents?

Reminders is a tool enabling AI agents to create, manage, and retrieve simple, persistent notes and tasks for themselves across sessions, similar to human voice assistant reminders.

Can AI agents prioritize their reminders?

Yes, Reminders supports three priority levels: 'high' for critical context or tasks, 'normal' (default) for regular items, and 'low' for observations or ideas to explore later.

Reminders

Name: Reminders
Author: MikeyBeez

byMikeyBeez

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生産性とワークフロー

学習とドキュメンテーション

Enables AI agents to create and manage simple, persistent reminders for themselves across sessions, similar to human voice assistant reminders.

Designed to address the challenge of AI agents losing context upon restart, this tool provides a straightforward reminder system. It allows an AI, specifically Claude, to leave notes and prompts for itself across different sessions, ensuring important thoughts, tasks, and observations are not forgotten. Much like a human telling a voice assistant to remember something, Claude can use this system to maintain continuity, track evolving patterns, or keep track of ideas and tasks for future consideration.

主な機能

011 GitHub stars

02Mark reminders as complete, delete, or move to permanent notes

03Create and retrieve session-persistent reminders

04Prioritize reminders (high, normal, low)

05Human-readable storage in a simple JSON file

06Automated cleanup of old completed reminders

ユースケース

01Capture and store ideas or tasks for future exploration

02Track recurring user behaviors or system patterns

03Maintain context and continuity across AI sessions