# human-like-memory

> Use this tool when you need to retain information and context over extended conversations, enabling more natural and personalized interactions. It solves problems of knowledge loss and context switching, allowing for more cohesive and human-like dialogue. This skill takes in conversation inputs and outputs relevant, context-dependent responses, making it ideal for applications requiring sustained memory and understanding.

Canonical page: https://skillsregistry.net/skills/jianghaibobo2015-rgb-human-like-memory  
JSON: https://api.skillsregistry.net/v1/skills/jianghaibobo2015-rgb-human-like-memory

## Description

This skill provides long-term memory capabilities for conversations.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-08-23

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/jianghaibobo2015-rgb-human-like-memory)

## 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": "jianghaibobo2015-rgb-human-like-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jianghaibobo2015-rgb-human-like-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jianghaibobo2015-rgb-human-like-memory/pull`

---
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