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HellKaiser45
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continual-learning

Persist AI coding agent memory across sessions with SQL-backed storage.

Updated Feb 4, 2026
Search Tags:#hooks#memory#persistence#ai-agents#memory-management#learning-loop#continual-learning
One-click install
npx skills add https://github.com/HellKaiser45/Podlet --skill continual-learning-hellkaiser45
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: continual-learning
Source: https://github.com/HellKaiser45/Podlet/tree/main/.podlet/skills/continual-learning
Command: npx skills add https://github.com/HellKaiser45/Podlet --skill continual-learning-hellkaiser45

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Your AI coding agents forget everything between sessions. Continual learning fixes that.

Core Features & Use Cases

  • Global memory for cross-project patterns and conventions
  • Local memory for project-specific conventions and common mistakes
  • Hook-based learning, store_memory (SQL), and memory-file workflows for knowledge persistence
  • Automatic memory compaction to prune stale data while preserving high-value learnings

Quick Start

Install the hook by copying the continual-learning hook into your repository's .github/hooks directory to enable automatic initialization.

Frequently Asked Questions about continual-learning

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

FAQPage Schema
How do I keep AI coding agents from forgetting project conventions between sessions?▼

To stop AI coding agents from forgetting between sessions, you need a continual learning memory layer. This Skill provides global and local memory scopes with SQL-backed storage and hook-based learning to persist patterns and decisions across projects.

What is the best way to retain AI agent memory across multiple development projects?▼

Retaining AI agent memory across multiple projects requires a global memory scope for shared patterns. This Skill uses predefined learning categories and automatic data compaction to preserve high-value learnings while pruning stale data.

How do I set up hook-based learning for AI coding agents?▼

To set up hook-based learning, copy the continual-learning hook into your repository's .github/hooks directory. This enables automatic initialization for memory retention and store_memory SQL workflows during development.

Does AI agent memory management work without automatic data compaction?▼

AI agent memory management without automatic compaction risks accumulating stale data. This Skill applies automatic memory compaction to prune outdated information while preserving high-value learnings in SQL-backed memory storage.

Can I use local memory scopes for project-specific mistakes with AI agents?▼

Yes, you can use local memory scopes to store project-specific conventions and common mistakes. This ensures AI coding agents retain localized learnings separately from global cross-project patterns.

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