# NeuralVaultCore

> Use this tool when you need to persist AI agent memory across sessions, enabling seamless recall and management of stored information. NeuralVaultCore solves the problem of ephemeral memory in AI agents, providing a reliable and efficient storage solution with low token overhead. It accepts AI agent data as input and outputs stored memory, allowing for flexible integration into various AI workflows.

Canonical page: https://skillsregistry.net/skills/getobyte-neuralvaultcore  
JSON: https://api.skillsregistry.net/v1/skills/getobyte-neuralvaultcore

## Description

An MCP server that provides persistent long-term memory for AI agents via local SQLite storage with low token overhead, enabling memory storage, retrieval, and management across sessions.

## Trust

- **Trust score (0–1):** 0.42
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/alihzhclrt)
- **Repository:** <https://github.com/getobyte/NeuralVaultCore>

## 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": "getobyte-neuralvaultcore"
    }
  }
}
```

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