# memory-decay

> Use this tool when you need to simulate human-like memory retention and retrieval in AI agents, solving problems of information overload and outdated knowledge by allowing memories to decay over time. It takes in memories and access requests as inputs and outputs retrieved memories, with a permanent journal for verification. Ideal for use cases where forgetting outdated information is beneficial, such as dynamic environment simulations or adaptive learning models.

Canonical page: https://skillsregistry.net/skills/wakanlolz-pymemorydecaymcp  
JSON: https://api.skillsregistry.net/v1/skills/wakanlolz-pymemorydecaymcp

## Description

An MCP server that implements memory with decay mechanics, allowing AI agents to store and retrieve memories that fade over time unless accessed, with a permanent journal for verification.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sl1meup5ds)
- **Repository:** <https://github.com/Wakanlolz/PyMemoryDecayMCP>

## 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": "wakanlolz-pymemorydecaymcp"
    }
  }
}
```

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