Agent Memory Mcp

Skills ai-research 301 Scanned by NVIDIA SkillSpector

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

Install Command

npx claude-code-templates@latest --skill ai-research/agent-memory-mcp

View on GitHub

claude-code — agent-memory-mcp

Scanned by NVIDIA SkillSpector

Automated static analysis (no LLM) · v2.12.0 · 2026-10-24

0 observations

scanner score 0/100

SkillSpector looks for patterns such as shell commands, credential access, network calls or unpinned dependencies. An observation is something worth reading in the files before you install, not a confirmed vulnerability. Components that run code locally, like hooks, MCP servers and security tooling, naturally show more of them.

No observations.

Learn more about NVIDIA SkillSpector.

Content

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

Install Dependencies:

bash

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:
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.