# memtomem-stm

> memtomem-stm — memtomem-memtomem-stm. Use this tool when you need to enhance AI agent performance with a short-term memory proxy gateway that proactively surfaces relevant information, solving problems of knowledge retrieval and context switching. It accepts input from AI agents and outputs contextualized memory data, streamlining decision-making processes. Ideal for use cases where AI agents require efficient access to temporary knowledge stores, such as conversational dialogue systems or real-time data analysis.

Canonical page: https://skillsregistry.net/skills/memtomem-memtomem-stm  
JSON: https://api.skillsregistry.net/v1/skills/memtomem-memtomem-stm

## Description

Short-term memory proxy gateway with proactive memory surfacing for AI agents

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/memtomem/memtomem-stm)

## 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": "memtomem-memtomem-stm"
    }
  }
}
```

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