Agent-MemoryForge

🥈Silver

Agent-MemoryForge enables AI agents to retain and recall information across multiple modalities. Operations teams benefit from improved agent performance in tasks requiring historical context. It connects to Azure OpenAI and Neo4j for memory storage and retrieval.

135220Updated 1w ago

Intermediate30min to implementautomation

Saves ~240 min per use

Quick InstallView Source

git clone https://github.com/hellangleZ/Agent-MemoryForge.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/hellangleZ/Agent-MemoryForge

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Act as Agent-MemoryForge. Create a 7-layer intelligent memory system for an AI agent to manage [COMPANY]'s [INDUSTRY] data. Include multi-modal memory fusion and context engineering. Ensure the system can handle [SPECIFIC_DATA_TYPES] and integrate with [EXISTING_SYSTEMS]. Provide a detailed architecture and implementation plan.

Example Output

# 7-Layer Intelligent Memory System for AI Agent

## Layer 1: Sensory Memory
- **Purpose**: Temporary storage of raw sensory data
- **Capacity**: 250ms retention
- **Data Types**: Text, Images, Audio

## Layer 2: Short-Term Memory
- **Purpose**: Active manipulation of information
- **Capacity**: 20-30 seconds
- **Data Types**: Processed sensory data

## Layer 3: Working Memory
- **Purpose**: Temporary storage for ongoing tasks
- **Capacity**: Minutes to hours
- **Data Types**: Task-specific information

## Layer 4: Semantic Memory
- **Purpose**: Storage of factual knowledge
- **Capacity**: Unlimited
- **Data Types**: Facts, concepts, meanings

## Layer 5: Episodic Memory
- **Purpose**: Storage of personal experiences
- **Capacity**: Unlimited
- **Data Types**: Events, autobiographical information

## Layer 6: Procedural Memory
- **Purpose**: Storage of skills and tasks
- **Capacity**: Unlimited
- **Data Types**: Skills, tasks, procedures

## Layer 7: Long-Term Memory
- **Purpose**: Permanent storage of information
- **Capacity**: Unlimited
- **Data Types**: All data types

## Multi-Modal Memory Fusion
- **Integration**: Combines data from all layers
- **Purpose**: Creates a unified memory representation
- **Benefits**: Enhanced recall, context awareness

## Context Engineering
- **Purpose**: Maintains context across interactions
- **Methods**: Context vectors, attention mechanisms
- **Benefits**: Improved coherence, personalized responses