brain

Manage a persistent knowledge vault with notesmd-cli for storage and retrieval.

328|53|Updated Aug 1, 2025
One-click install
npx skills add https://github.com/automagik-dev/genie --skill brain-automagik-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: brain
Source: https://github.com/automagik-dev/genie/tree/main/skills/brain
Command: npx skills add https://github.com/automagik-dev/genie --skill brain-automagik-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides agents with a persistent, searchable knowledge base, ensuring they can recall past information, decisions, and discovered intelligence across multiple sessions, preventing context loss and improving consistency.

Core Features & Use Cases

  • Long-Term Memory: Stores and retrieves agent knowledge, notes, and session summaries.
  • Contextual Recall: Searches the knowledge vault before answering to leverage prior information.
  • Use Case: An agent working on a sales lead can access notes from previous interactions, company details, and key decision points stored in its brain, allowing it to provide informed and consistent responses without needing to re-learn information each session.

Quick Start

Use the brain skill to search for information about the 'Q3 sales strategy' before answering the user's question.

Frequently Asked Questions about brain

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

FAQPage Schema
How do I give an AI agent persistent memory across sessions?

Agent memory is maintained by using a persistent knowledge vault to store and retrieve session data, notes, and intelligence. Agents search this vault before answering to leverage prior context and discovered patterns across multiple sessions.

How does an agent recall prior context using a knowledge base?

An agent recalls prior context by performing targeted content searches and printing notes from the knowledge vault before generating a response. This ensures historical intelligence and playbook updates are applied to the current task.

Can I store and manage playbooks for AI agents within a searchable knowledge base?

Yes, you can manage playbooks within a searchable knowledge vault. The system facilitates immediate write-back of new intelligence and playbook updates, ensuring established patterns are maintained for future sessions.

What is the best way to prevent context loss in AI agents between interactions?

The best way to prevent context loss is to implement an intelligence vault for contextual recall before answering. Storing session summaries and discovered intel maintains an up-to-date knowledge base, improving consistency over time.

Does notesmd-cli support automatic write-back of new intelligence to a knowledge vault?

Yes, notesmd-cli supports immediate write-back of new intelligence to the knowledge vault. This ensures the agent's persistent memory and playbooks remain current after discovering new information during a session.