# mcp-ariel-memory

> Use this tool when you need to enhance AI agent capabilities with a robust memory system, solving problems of knowledge retention and retrieval in complex applications. It provides a two-layer memory interface with 37 tools, hybrid search, and knowledge graphs, accepting various data inputs and outputting relevant information. Ideal for use cases requiring persistent and searchable memory, such as enterprise-level AI systems and applications with large knowledge bases.

Canonical page: https://skillsregistry.net/skills/cipher208-mcp-ariel-memory  
JSON: https://api.skillsregistry.net/v1/skills/cipher208-mcp-ariel-memory

## Description

Enables AI agents to maintain persistent, searchable two-layer memory with 37 tools, hybrid search, knowledge graphs, and enterprise features like authentication and backups.

## Trust

- **Trust score (0–1):** 0.29
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kiin2eafwl)
- **Repository:** <https://github.com/Cipher208/mcp-ariel-memory>

## 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": "cipher208-mcp-ariel-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cipher208-mcp-ariel-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cipher208-mcp-ariel-memory/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