# vestige

> vestige — samvallad33-vestige. Use this tool when you need to enhance AI agents' cognitive memory and retention capabilities through spaced repetition and modular brain functions. It solves problems related to knowledge recall and retention, providing a comprehensive interface with a 3D dashboard and integration with various development environments. Ideal for use in applications requiring robust memory and learning capabilities, such as AI model training and knowledge graph construction.

Canonical page: https://skillsregistry.net/skills/samvallad33-vestige  
JSON: https://api.skillsregistry.net/v1/skills/samvallad33-vestige

## Description

Cognitive deterministic memory transaction security kernel for agents, that traces backwards to find the root cause and not the lookalike

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-08-27

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/samvallad33/vestige)

## 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": "samvallad33-vestige"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/samvallad33-vestige` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/samvallad33-vestige/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