agentic-memory

Enforce a memory hierarchy with append-only archives and user-approval prompts.

3|Updated Mar 12, 2026
One-click install
npx skills add https://github.com/RajanChavada/Rosetta --skill agentic-memory
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agentic-memory
Source: https://github.com/RajanChavada/Rosetta/tree/main/.windsurf/skills/agentic-memory
Command: npx skills add https://github.com/RajanChavada/Rosetta --skill agentic-memory

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Preserves tribal knowledge and enforces a memory hierarchy for AI agent sessions.

Core Features & Use Cases

  • Memory contracts and memory hierarchy policies to preserve critical decisions and patterns
  • Onboarding, active monitoring, daily logging, archive management, and memory promotion workflows
  • Append-only archival and user-approval prompts to ensure safe, auditable memory evolution

Quick Start

Initialize the memory hierarchy and start the daily log.

Frequently Asked Questions about agentic-memory

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

FAQPage Schema
How do I preserve tribal knowledge across AI agent sessions?

Preserve tribal knowledge across AI agent sessions by enforcing a memory hierarchy and append-only archives. This ensures critical decisions and patterns survive across workflows without manual duplication.

What is a memory hierarchy for AI agents and when do I need it?

A memory hierarchy for AI agents structures knowledge into levels for onboarding, active monitoring, and archival. You need it when managing long-term agent workflows that require auditable memory evolution.

How do I set up append-only archives and daily logging for AI agent workflows?

Set up append-only archives and daily logging by initializing the memory hierarchy and starting auto-logging triggers. This captures session events safely while preventing unauthorized modifications to historical records.

Can I require user approval to promote items between memory levels?

Yes, user-approval prompts govern memory promotion decisions between levels. This ensures safe, auditable memory evolution by requiring explicit human consent before moving items up the hierarchy.

What is the best way to manage onboarding and active monitoring for AI agent memory?

Manage onboarding and active monitoring by applying memory contracts and hierarchy policies. This enforces structured knowledge preservation during agent initialization and continuous session tracking.