# memory-mcp

> Use this tool when you need to enhance AI agents with persistent semantic memory, enabling them to store and retrieve information efficiently. It solves problems related to information overload, data duplication, and knowledge retrieval, by providing a self-organizing layer for categorization and search. The memory-mcp tool accepts input data, processes it through autonomous chunking and deduplication, and outputs organized information through a PostgreSQL-backed interface.

Canonical page: https://skillsregistry.net/skills/isaacriehm-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/isaacriehm-memory-mcp

## Description

A self-organizing, persistent semantic memory layer that enables AI agents to store, categorize, and retrieve information using hybrid vector and keyword search. It features autonomous chunking, deduplication, and hierarchical taxonomy management through a PostgreSQL-backed MCP server.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/adontzjfc4)
- **Repository:** <https://github.com/isaacriehm/memory-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "isaacriehm-memory-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/isaacriehm-memory-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/isaacriehm-memory-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
