How does it improve AI development workflows?

It solves the 'context window' problem by providing a long-term storage layer, allowing Claude to remember previous architectural choices and coding standards across different sessions.

Can I see what information the AI has stored?

Absolutely. The skill includes a standalone dashboard accessible via your browser that allows you to visualize, search, and manage all stored memories.

What is the Agent Memory MCP skill?

It is a specialized capability that provides a persistent, searchable database for AI agents to store and recall technical decisions, patterns, and project-specific knowledge.

Do I need to host a separate server for this?

Yes, it runs as an MCP (Model Context Protocol) server locally using Node.js to bridge the gap between Claude and your project's memory bank.

Agent Memory MCP

Name: Agent Memory MCP
Author: claudiodearaujo

byclaudiodearaujo

0•

Productivity & Workflow

Manages persistent, searchable long-term memory and project knowledge for AI agents using the Model Context Protocol (MCP).

Agent Memory MCP provides a robust hybrid memory system designed to give AI agents a long-term 'brain' for complex development projects. By serving as an MCP-compliant bridge, it allows Claude to store, search, and retrieve architectural decisions, coding patterns, and specific project context that would otherwise be lost between sessions. This skill ensures that technical choices remain consistent over time, providing a searchable source of truth that syncs directly with project documentation and includes a visual dashboard for monitoring memory usage.

Key Features

01Persistent storage for architectural decisions and technical patterns

02Usage analytics to track and optimize knowledge bank performance

030 GitHub stars

04Advanced search functionality by query, content type, or custom tags

05Automated synchronization between agent memory and project documentation

06Interactive web-based dashboard for visualizing and managing memory

Use Cases

01Maintaining an Architecture Decision Record (ADR) that the AI can reference across tasks

02Storing project-specific coding standards to ensure consistent code generation

03Creating a searchable knowledge base for onboarding AI agents to complex legacy codebases

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro-front agent-memory-mcp

For use in Claude.ai and ChatGPT

Download Skill