Agent memory mcp

Skill bg-szy/TOP-SKILLS/skills/marketplace/agent-memory-mcp

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Install

npx -y skills add bg-szy/TOP-SKILLS --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

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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.

Limitations

Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.