name: agent-memory-mcp
author: Amit Rathiesh
description: A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

Agent Memory Skill

This skill provides a persistent, searchable memory bank that automatically syncs with project documentation. It runs as an MCP server to allow reading/writing/searching of long-term memories.

Prerequisites

• Node.js (v18+)

Setup

1. Clone the Repository:
   Clone the agentMemory project into your agent's workspace or a parallel directory:

bash git clone https://github.com/webzler/agentMemory.git .agent/skills/agent-memory

1. Install Dependencies:

bash cd .agent/skills/agent-memory npm install npm run compile

1. Start the MCP Server:
   Use the helper script to activate the memory bank for your current project:

bash npm run start-server <project_id> <absolute_path_to_target_workspace>

Example for current directory:

bash npm run start-server my-project $(pwd)

Capabilities (MCP Tools)

memory_search

Search for memories by query, type, or tags.

• Args: query (string), type? (string), tags? (string[])
• Usage: "Find all authentication patterns" -> memory_search({ query: "authentication", type: "pattern" })

memory_write

Record new knowledge or decisions.

• Args: key (string), type (string), content (string), tags? (string[])
• Usage: "Save this architecture decision" -> memory_write({ key: "auth-v1", type: "decision", content: "..." })

memory_read

Retrieve specific memory content by key.

• Args: key (string)
• Usage: "Get the auth design" -> memory_read({ key: "auth-v1" })

memory_stats

View analytics on memory usage.

• Usage: "Show memory statistics" -> memory_stats({})

Dashboard

This skill includes a standalone dashboard to visualize memory usage.

npm run start-dashboard <absolute_path_to_target_workspace>

Access at: http://localhost:3333