Does this skill include a visual interface?

Yes, it includes a standalone dashboard accessible at localhost:3333 that allows you to visualize and manage your stored agent memories.

How does it improve AI performance?

By providing persistent storage for decisions and patterns, it prevents the agent from forgetting critical context between different coding sessions or tasks.

Can I filter memories by specific categories?

Yes, the memory_search tool supports filtering by query strings, memory types (like 'decision' or 'pattern'), and custom metadata tags.

What is the Agent Memory MCP skill?

It is a specialized capability that allows AI agents to read, write, and search long-term project memories through a dedicated Model Context Protocol (MCP) server.

Agent Memory MCP

Name: Agent Memory MCP
Author: claudiodearaujo

byclaudiodearaujo

0•

Productivity & Workflow

Equips AI agents with a persistent, searchable memory bank for long-term knowledge management and architectural decision tracking.

Agent Memory MCP provides a robust, hybrid memory system that allows AI agents to maintain state and context across multiple sessions. By running as a Model Context Protocol (MCP) server, it enables Claude to read, write, and search through a project-specific knowledge base containing architecture decisions, coding patterns, and key project metadata. This skill bridges the gap between ephemeral chat context and permanent documentation, ensuring your AI assistant retains critical project insights while offering a visual dashboard for easy monitoring of stored information.

Key Features

01Native MCP integration for seamless Claude Code interaction

02Persistent long-term knowledge storage for AI agents

03Standalone visual dashboard for memory management

040 GitHub stars

05Automated synchronization with local project documentation

06Semantic search for memories by query, type, or tags

Use Cases

01Recording and retrieving Architectural Decision Records (ADRs) during development

02Maintaining a consistent library of project-specific design patterns and guidelines

03Storing complex domain knowledge that exceeds standard AI context windows

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/izacenter agent-memory-mcp

For use in Claude.ai and ChatGPT

Key Features

01Native MCP integration for seamless Claude Code interaction

02Persistent long-term knowledge storage for AI agents

03Standalone visual dashboard for memory management

040 GitHub stars

05Automated synchronization with local project documentation

06Semantic search for memories by query, type, or tags

Use Cases

01Recording and retrieving Architectural Decision Records (ADRs) during development

02Maintaining a consistent library of project-specific design patterns and guidelines

03Storing complex domain knowledge that exceeds standard AI context windows

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/izacenter agent-memory-mcp

For use in Claude.ai and ChatGPT