# io.github.simplemindedbot/mnemex

> Use this tool when you need to implement a temporal memory system for AI models that requires data storage with decay and reinforcement capabilities. It solves problems related to information retention and retrieval, particularly in applications where data relevance diminishes over time. The tool takes in JSONL and Markdown inputs and provides a two-layer storage output, ideal for use cases involving knowledge graph updates, conversational AI, and event-based learning.

Canonical page: https://skillsregistry.net/skills/io-github-simplemindedbot-mnemex  
JSON: https://api.skillsregistry.net/v1/skills/io-github-simplemindedbot-mnemex

## Description

Temporal memory for AI with decay and reinforcement. Two-layer storage (JSONL + Markdown).

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.5.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-17

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.simplemindedbot%2Fmnemex)
- **Repository:** <https://github.com/simplemindedbot/mnemex>

## 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": "io-github-simplemindedbot-mnemex"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-simplemindedbot-mnemex` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-simplemindedbot-mnemex/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