2nd-brain

Store durable facts and synchronize memory across agent sessions.

Updated Sep 1, 2021
One-click install
npx skills add https://github.com/unclehowell/unclehowell --skill 2nd-brain
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: 2nd-brain
Source: https://github.com/unclehowell/unclehowell/tree/main/skills/2nd-brain
Command: npx skills add https://github.com/unclehowell/unclehowell --skill 2nd-brain

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Central brain — persistent memory system enabling cross-agent recall, session continuity, and durable fact storage. Load this at session start to inherit brain knowledge and close the learning loop after tasks.

Core Features & Use Cases

  • Persistent memory across sessions and agents for recall of past work and continuity.
  • Three-tier memory architecture (Hermes memory tool, brain files, and skills) with cross-agent synchronization.
  • Durable fact storage and learning loop closure, enabling ongoing improvement across tasks.

Quick Start

At session start, load this skill, run session_search to find relevant past sessions, read ${BRAIN_ROOT}/memory/context/current.md for active priorities, and load relevant skills.

Frequently Asked Questions about 2nd-brain

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

FAQPage Schema
How do I maintain persistent memory across multiple AI agent sessions?

Persistent memory across multiple AI agent sessions is maintained by loading a central brain skill at session start to inherit past knowledge and close the learning loop after tasks. This enables session recall and continuity.

What is a three-tier memory architecture for durable agent recall?

A three-tier memory architecture combines the Hermes memory tool, brain files, and skills to provide durable fact storage and cross-agent synchronization. This structure enables ongoing improvement across tasks.

How do I set up cross-agent learning and session continuity at session start?

To set up cross-agent learning, load the skill at session start, run session_search to find relevant past sessions, read the current context file for active priorities, and load relevant skills.

Can I use a central brain for cross-agent synchronization in multi-agent workflows?

Yes, you can use a central brain for cross-agent synchronization in multi-agent workflows. It applies durable fact saving and learning loop closure to enable recall of past work across different agents.

Does persistent agent memory work without external dependencies?

Yes, persistent agent memory works without external dependencies. It uses a three-tier architecture consisting of the Hermes memory tool, brain files, and skills to propagate durable memory independently.