Does it support tagging?

Yes, memories can be categorized using specific types and tags, making it easy to filter for things like 'authentication patterns' or 'deployment decisions'.

Can I visualize the stored memories?

Yes, this skill includes a built-in dashboard that can be launched locally to browse, search, and analyze your agent's memory bank.

What is Agent Memory MCP?

It is a specialized capability for AI agents that provides a searchable, persistent storage system for project-specific knowledge, decisions, and development patterns.

How does this skill help Claude Code?

It allows Claude to remember previous decisions and patterns across different chat sessions, preventing the need to re-explain project context repeatedly.

How do I setup the memory bank?

You clone the repository, install dependencies, and start the MCP server using a project ID and the absolute path to your target workspace.

Agent Memory MCP

Name: Agent Memory MCP
Author: claudiodearaujo

byclaudiodearaujo

•

Productivity & Workflow

Provides a persistent, searchable long-term memory system to help AI agents manage project knowledge, architecture decisions, and design patterns.

Agent Memory MCP is a hybrid memory system designed to give Claude and other AI agents persistent context that spans across multiple sessions and tasks. By functioning as a Model Context Protocol (MCP) server, it allows agents to store, search, and retrieve architectural decisions, implementation patterns, and project-specific knowledge in a centralized bank. This skill ensures that your AI assistant maintains a high-fidelity record of development logic, reducing redundant explanations and keeping codebases consistent by referencing a shared 'source of truth' for project intelligence.

Key Features

01Persistent long-term memory storage for cross-session continuity

02Standalone dashboard for visual memory usage analytics

03Model Context Protocol (MCP) integration for seamless read/write tools

041 GitHub stars

05Searchable knowledge bank with advanced query and tag filtering

06Automatic synchronization with existing project documentation

Use Cases

01Storing and retrieving complex architectural decisions and design patterns

02Tracking project-specific logic and decisions that aren't captured in source code

03Onboarding AI agents to legacy codebases by providing historical context

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT

Key Features

01Persistent long-term memory storage for cross-session continuity

02Standalone dashboard for visual memory usage analytics

03Model Context Protocol (MCP) integration for seamless read/write tools

041 GitHub stars

05Searchable knowledge bank with advanced query and tag filtering

06Automatic synchronization with existing project documentation

Use Cases

01Storing and retrieving complex architectural decisions and design patterns

02Tracking project-specific logic and decisions that aren't captured in source code

03Onboarding AI agents to legacy codebases by providing historical context

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT