# valence-memory

> Use this tool when you need to store and manage persistent knowledge for AI applications, solving problems of data loss and inconsistency. Valence-memory provides a substrate for retaining information, accepting knowledge inputs and generating retrievable outputs. Ideal for use in contexts where continuous learning and memory recall are crucial, such as in OpenClaw systems.

Canonical page: https://skillsregistry.net/skills/zonk1024-valence-memory  
JSON: https://api.skillsregistry.net/v1/skills/zonk1024-valence-memory

## Description

Persistent knowledge substrate for OpenClaw.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-05-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/zonk1024-valence-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": "zonk1024-valence-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zonk1024-valence-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zonk1024-valence-memory/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