# memcurve

> memcurve — nathaniel-gordon-memcurve. Use this tool when you need to implement temporal memory for AI assistants, leveraging the Ebbinghaus forgetting curve to mimic human-like memory retention and forgetting. It solves problems related to information recall and retention in AI models, particularly for Claude, Cursor, and compatible agents. The memcurve tool integrates with MCP servers, accepting input from various sources and outputting optimized memory curves for enhanced AI performance.

Canonical page: https://skillsregistry.net/skills/nathaniel-gordon-memcurve  
JSON: https://api.skillsregistry.net/v1/skills/nathaniel-gordon-memcurve

## Description

Temporal memory for AI assistants using the Ebbinghaus forgetting curve with MCP server integration for Claude, Cursor, and compatible agents.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/nathaniel-gordon/memcurve)

## 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": "nathaniel-gordon-memcurve"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nathaniel-gordon-memcurve` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nathaniel-gordon-memcurve/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