memory

Maintain persistent user context with JSON manifests, markdown journals, and encrypted vault files.

4|2|Updated Apr 26, 2026
One-click install
npx skills add https://github.com/IsNoobgrammer/skills-for-agents --skill memory-isnoobgrammer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: memory
Source: https://github.com/IsNoobgrammer/skills-for-agents/tree/main/skills/memory
Command: npx skills add https://github.com/IsNoobgrammer/skills-for-agents --skill memory-isnoobgrammer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

This skill solves the problem of AI amnesia by maintaining a persistent, structured database of user identity, preferences, and session history, ensuring the agent remains aligned with the user across different sessions and complex tasks.

Core Features & Use Cases

  • Preference Capture: Automatically detects and logs user preferences, technical biases, and recurring commands to prevent repetitive corrections.
  • Secure Vaulting: Provides a structured, secure way to store and reference API keys and credentials without exposing them in chat.
  • Session Continuity: Uses a daily journal and manifest system to provide instant context retrieval, allowing the agent to pick up exactly where the user left off.

Quick Start

Use the memory skill to initialize the current session by reading the manifest and loading the user identity profile.

Frequently Asked Questions about memory

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

FAQPage Schema
How do I maintain persistent context across multi-turn AI interactions?

Persistent context is maintained by using a structured manifest and daily journal to store user identity and session history. This enables instant context retrieval, allowing the agent to pick up exactly where you left off across different sessions.

What is the best way to securely store API keys for automated workflows?

Securely storing API keys is achieved by using an encrypted vault file system. This provides a structured way to store and reference credentials without exposing them directly in the chat interface.

How can I automatically capture user preferences to prevent repetitive corrections?

Automatically capturing user preferences is done by logging technical biases and recurring commands into a preference database. This prevents repetitive corrections by ensuring the agent remains aligned with your established workflow.

Does persistent memory require file system access to manage JSON manifests?

Yes, persistent memory requires file system access to manage JSON manifests, markdown journals, and encrypted vault files. This file system access is essential for storing identity, secrets, and workflow playbooks for long-term alignment.

How do I initialize an AI session using a stored user identity profile?

Initializing an AI session involves reading the manifest and loading the user identity profile. This provides instant context retrieval and ensures the agent has your historical session data and preferences loaded.