# memorybank

> Use this tool when you need to store and retrieve large amounts of data for extended periods, solving problems of knowledge retention and recall for AI agents. The memorybank provides a portable long-term memory store, accepting data inputs and returning stored information as outputs over the MCP interface. Ideal for use cases requiring persistent data storage and retrieval, such as learning, training, and decision-making applications.

Canonical page: https://skillsregistry.net/skills/cognis-digital-memorybank  
JSON: https://api.skillsregistry.net/v1/skills/cognis-digital-memorybank

## Description

Portable long-term memory store for agents, exposed over MCP.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p6nuteyz2d)
- **Repository:** <https://github.com/cognis-digital/memorybank>

## 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": "cognis-digital-memorybank"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-memorybank` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-memorybank/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