Agent memory mcp

Skill ulpi-io/plugin-marketplace/plugins/sickn33/skills/agent-memory-mcp

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Install

npx -y skills add ulpi-io/plugin-marketplace --skill agent-memory-mcp

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What its author says it does

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A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

SKILL.md

2.2 KB, 498 tokens by cl100k_base, as published. Nobody here has run it

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

Clone the Repository: Clone the agentMemory project into your agent's workspace or a parallel directory:
```
git clone https://github.com/webzler/agentMemory.git .agent/skills/agent-memory
```

Install Dependencies:

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

Start the MCP Server: Use the helper script to activate the memory bank for your current project:
```
npm run start-server <project_id> <absolute_path_to_target_workspace>
```
Example for current directory:
```
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

When to Use

This skill is applicable to execute the workflow or actions described in the overview.