# Remember-Memory

> Use this tool when you need to retain and recall specific information across multiple interactions, enabling seamless conversation continuity. Remember-Memory solves the problem of knowledge loss between chat sessions by storing and retrieving classified memory information. It takes in user input and chat history as inputs and outputs relevant, context-specific information to inform subsequent conversations.

Canonical page: https://skillsregistry.net/skills/xiaobenyang-com-1777316659460099  
JSON: https://api.skillsregistry.net/v1/skills/xiaobenyang-com-1777316659460099

## Description

An implementation of a classification-based persistent memory system that enables Claude to store and retrieve classified memory information across chat sessions

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fr7vlwf8eo)
- **Repository:** <https://github.com/xiaobenyang-com/1777316659460099>

## 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": "xiaobenyang-com-1777316659460099"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xiaobenyang-com-1777316659460099` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xiaobenyang-com-1777316659460099/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