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memory-manager

Organize AI agent memory into episodic, semantic, and procedural tiers.

Updated Apr 9, 2026
Search Tags:#ai#agents#semantic-memory#memory-management#episodic-memory#procedural-memory#compression-detection
One-click install
npx skills add https://github.com/vuongtu1k9-ship-it/Kotlin --skill memory-manager-vuongtu1k9-ship-it
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: memory-manager
Source: https://github.com/vuongtu1k9-ship-it/Kotlin/tree/main/skills/memory-manager
Command: npx skills add https://github.com/vuongtu1k9-ship-it/Kotlin --skill memory-manager-vuongtu1k9-ship-it

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jq.

What problem does it solve?

AI agents often lose essential context due to memory fragmentation, lack of structured memory, and limited short-term retention. This Skill provides a robust memory architecture to prevent context loss while enabling efficient retrieval, organization, and search across memories.

Core Features & Use Cases

  • Three-tier memory system: episodic (what happened and when), semantic (facts and knowledge), procedural (how-to workflows).
  • Memory health tools: compression detection, auto-snapshots, and automatic organization.
  • Semantic search across memories to rapidly retrieve relevant facts, decisions, and procedures for debugging, handoffs, and continuity.

Quick Start

Initialize the memory structure with the init.sh script and begin using episodic, semantic, and procedural memories.

Frequently Asked Questions about memory-manager

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

FAQPage Schema
How do I prevent AI agent context loss during long sessions?▼

Prevent context loss by implementing a three-tier memory architecture that structures episodic, semantic, and procedural memories. This system enables auto-snapshots and semantic search to retain and retrieve essential context.

What is the best way to structure semantic memory for AI agents?▼

Structure semantic memory using a dedicated three-tier architecture that separates facts and knowledge from episodic events and procedural workflows. This organization enables efficient categorization and rapid semantic search retrieval.

How do I set up local memory management for AI agents?▼

Set up local memory management by running the initialization script to establish the memory structure. This creates the foundation required to execute compression detection, auto-snapshots, and semantic search across local memory.

Do I need jq to manage AI agent memory locally?▼

Yes, jq is required as a dependency to manage AI agent memory locally. It is necessary to execute the scripts that handle memory organization, compression detection, and semantic search operations.

How does compression detection work in AI memory management?▼

Compression detection in memory management works by identifying fragmentation and limited short-term retention. It triggers automatic organization and snapshots to preserve essential context and prevent data loss.

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