# widemem-ai

> widemem-ai — remete618-widemem-ai. Use this tool when you need to enhance AI memory with advanced features like importance scoring and temporal decay, to solve problems of information retention and retrieval in complex datasets. It takes in large datasets and outputs prioritized memory structures, allowing for more efficient learning and decision-making. Ideal for use cases where nuanced memory management is crucial, such as natural language processing and knowledge graph construction.

Canonical page: https://skillsregistry.net/skills/remete618-widemem-ai  
JSON: https://api.skillsregistry.net/v1/skills/remete618-widemem-ai

## Description

Next-gen AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/remete618/widemem-ai)

## 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": "remete618-widemem-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/remete618-widemem-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/remete618-widemem-ai/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