# memoryweb

> Use this tool when you need to provide AI agents with persistent and narrative memory, enabling them to recall concepts and relationships through associative retrieval rather than explicit addressing. The memoryweb server solves problems of knowledge retention and contextual understanding, allowing agents to learn and adapt over time. It accepts conceptual inputs and outputs associated nodes and relationships, making it ideal for use cases requiring complex, dynamic memory management.

Canonical page: https://skillsregistry.net/skills/corbym-memoryweb  
JSON: https://api.skillsregistry.net/v1/skills/corbym-memoryweb

## Description

An MCP server that gives AI agents persistent, narrative memory: concepts as nodes, relationships as typed "because" edges, so anything filed can be pulled back by association rather than by address.

## 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:** ai-ml
- **Updated:** 2026-04-27

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u9fnbulgjp)
- **Repository:** <https://github.com/corbym/memoryweb>

## 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": "corbym-memoryweb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/corbym-memoryweb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/corbym-memoryweb/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