project-memory

Load and append project-specific memory in MEMORY.md across sessions.

19|4|Updated Jan 4, 2026
One-click install
npx skills add https://github.com/wunki/amplify --skill project-memory-wunki
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: project-memory
Source: https://github.com/wunki/amplify/tree/main/skills/project-memory
Command: npx skills add https://github.com/wunki/amplify --skill project-memory-wunki

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill ensures that AI agents retain and apply project-specific knowledge across sessions, preventing repeated mistakes and incorporating user preferences and project conventions.

Core Features & Use Cases

  • Persistent Memory: Stores key information like user preferences, project conventions, and past mistakes in a MEMORY.md file.
  • Contextual Loading: Loads relevant memory at the start of a session or before significant tasks.
  • Memory Capture: Allows users to explicitly save new information or lessons learned.
  • Use Case: After a few coding sessions, the AI has learned that you prefer using async/await over traditional promises. This memory is saved, and the AI automatically applies this preference in subsequent code generation, even in new sessions.

Quick Start

Load project memory from MEMORY.md at the start of this session.

Frequently Asked Questions about project-memory

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

FAQPage Schema
How do I persist project context for AI agents across coding sessions?

You can persist project context for AI agents by writing lessons and preferences to a MEMORY.md file at the repository root. The agent loads this markdown file at session start to restore project-specific knowledge.

How does an AI agent maintain durable memory of coding conventions?

An AI agent maintains durable memory by parsing and appending concise lessons to a MEMORY.md file. When users ask the agent to remember preferences or mistakes, it writes this state to the markdown file for future use.

What is the best way to stop my AI assistant from repeating the same coding mistakes?

The best way to stop repeated mistakes is to save past errors and project conventions into a persistent memory file. The AI loads this context before major work to avoid previous errors and align with user preferences.

Do I need any specific dependencies to enable persistent memory for my AI coding assistant?

You do not need any specific dependencies to enable persistent memory. The system requires only the ability to read and write a MEMORY.md file at the repository root to store state across sessions.

When should I load project memory during an AI coding session?

You should load project memory at the start of a session and before beginning significant tasks. Loading the MEMORY.md file at these moments ensures the AI agent has the relevant project context and conventions.

Can I explicitly save new coding preferences for my AI agent to use in future sessions?

You can explicitly save new coding preferences by asking the AI agent to remember them. The agent captures these lessons and appends them to the MEMORY.md file, automatically applying them in subsequent code generation.