# neurostack

> neurostack — abhinav1234abhinav-neurostack. Use this tool when you need to index and search large Markdown vaults, providing AI agents with a persistent and structured long-term memory across sessions. It solves the problem of knowledge retention and recall for AI models, enabling them to learn from and build upon previous interactions. With git integration, neurostack accepts Markdown files as input and outputs a searchable knowledge graph.

Canonical page: https://skillsregistry.net/skills/abhinav1234abhinav-neurostack  
JSON: https://api.skillsregistry.net/v1/skills/abhinav1234abhinav-neurostack

## Description

Index and search Markdown vaults as knowledge graphs to provide AI agents with persistent, structured long-term memory across sessions.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-06-18

## 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/Abhinav1234abhinav/neurostack)

## 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": "abhinav1234abhinav-neurostack"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/abhinav1234abhinav-neurostack` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/abhinav1234abhinav-neurostack/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