Skill

agent-memory-mcp

Runs MCP server for persistent, searchable memory management in AI agents, with tools to search/write/read architecture patterns/decisions and usage dashboard.

Node

Git

Bash

ai-ml

developer-tools

From antigravity-awesome-skills

Install

Run in your terminal

npx claudepluginhub sickn33/antigravity-awesome-skills --plugin antigravity-awesome-skills

Tool Access

This skill uses the workspace's default tool permissions.

Skill Content

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Stats

Parent Repo Stars30854

Parent Repo Forks5155

Last CommitMar 27, 2026

Actions

View Source View Plugin View on GitHub View README

Tags

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({})

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.