# persisent-mind

> persisent-mind — vedantsingh60-persisent-mind. Use this tool when you need to retain and retrieve information over time, enabling AI agents to learn from experiences and make informed decisions. It solves problems of knowledge loss and improves performance in tasks requiring memory and context awareness. With input of new information and output of relevant recall, it's ideal for use cases where AI agents interact with dynamic environments or require continuous learning.

Canonical page: https://skillsregistry.net/skills/vedantsingh60-persisent-mind  
JSON: https://api.skillsregistry.net/v1/skills/vedantsingh60-persisent-mind

## Description

**Persistent, searchable, context-aware memory for AI agents.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-22

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/vedantsingh60-persisent-mind)

## 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": "vedantsingh60-persisent-mind"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vedantsingh60-persisent-mind` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vedantsingh60-persisent-mind/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