# neurakeep

> neurakeep — dominiclachance-neurakeep. Use this tool when you need to enhance AI agents' knowledge retention and source tracking, solving problems of information loss and unreliability. Neurakeep provides a local-first memory layer, accepting inputs of new information and source citations, and outputting updated knowledge graphs and explanations. It is ideal for use cases requiring transparent, trustworthy, and updatable AI knowledge bases.

Canonical page: https://skillsregistry.net/skills/dominiclachance-neurakeep  
JSON: https://api.skillsregistry.net/v1/skills/dominiclachance-neurakeep

## Description

Provides a local-first, source-cited memory layer for AI agents, with MCP tools to search, read, explain sources, and propose/apply memory updates.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fes2j2wpk1)
- **Repository:** <https://github.com/dominiclachance/neurakeep>

## 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": "dominiclachance-neurakeep"
    }
  }
}
```

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