memoria

Store and retrieve user facts and conversation history via input commands.

25|2|Updated Feb 2, 2026

Search Tags:#AI #memory #chatbot #user profiling #contextual information

Ready to run

npx skills add https://github.com/rocopolas/FemtoBot --skill memoria-rocopolas

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: memoria
Source: https://github.com/rocopolas/FemtoBot/tree/main/skills/memoria
Command: npx skills add https://github.com/rocopolas/FemtoBot --skill memoria-rocopolas

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a persistent memory function that helps in maintaining context and relevant information during conversations, improving the overall user experience.

Core Features & Use Cases

Contextual Memory: Store and retrieve relevant user information for enhanced interaction.
Memory Management: Safely save and forget user data using specific commands.
Use Case: If a user frequently mentions their hobbies, this Skill ensures the information is stored and can be recalled in future conversations for a more personalized interaction.

Quick Start

Use the 'guardar' command to remember important information about a user, e.g., 'guardar: Mi nombre es John'.

Frequently Asked Questions about memoria

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I add persistent memory to an AI chatbot?▼

To add persistent memory to an AI chatbot, you need a system that stores and retrieves conversation history and user facts. This Skill manages that data using simple input commands to save or delete information, ensuring contextually relevant interactions.

How does a chatbot remember user information across different conversations?▼

A chatbot remembers user information by utilizing a persistent memory system to store relevant facts. When a user mentions details like their name or hobbies, the system saves it for future retrieval, allowing the AI to recall the context later.

What is the best way to save user profiling data in an AI chatbot?▼

The best way to save user profiling data is using specific memory management commands. You can use the 'guardar' command to remember important information, such as 'guardar: Mi nombre es John', to store user context safely for future recall.

Can I delete or forget specific contextual information stored in the chatbot memory?▼

Yes, you can delete contextual information from the chatbot memory. The system includes memory management features that allow you to safely forget stored user data using specific deletion commands when the information is no longer needed.

Do I need any external dependencies to implement contextual memory in my chatbot?▼

No, you do not need any external dependencies to implement contextual memory with this Skill. It operates independently without requiring additional components, allowing you to manage conversation history and user profiling directly within your chatbot.