# Hot Memory

> Use this tool when you need to optimize AI assistant performance by leveraging a two-tier memory architecture for rapid data retrieval and semantic search. It solves problems related to slow data access and information recall, providing a zero-latency hot cache for frequent queries and deeper recall capabilities. The Hot Memory system accepts access patterns as input and outputs optimized data retrieval, making it ideal for use cases requiring fast and efficient information management.

Canonical page: https://skillsregistry.net/skills/gh-michael-denyer-hot-memory  
JSON: https://api.skillsregistry.net/v1/skills/gh-michael-denyer-hot-memory

## Description

Hot Memory provides a two-tier memory architecture for AI assistants: a zero-latency hot cache for frequently accessed data and semantic search for deeper recall. The system self-organizes stored information, automatically managing cache promotion and eviction based on access patterns.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-05-16

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-michael-denyer-hot-memory)
- **Repository:** <https://github.com/michael-denyer/memory-mcp>

## 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": "gh-michael-denyer-hot-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-michael-denyer-hot-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-michael-denyer-hot-memory/pull`

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