# Second Brain

> Use this tool when you need to enhance AI agents with a persistent and searchable memory, solving problems of knowledge retention and recall in various applications. It takes in data and queries, and outputs relevant information and insights, leveraging semantic search and knowledge graph capabilities. Ideal for use cases requiring long-term memory and auto-recall functionality in AI systems.

Canonical page: https://skillsregistry.net/skills/guybr3000-second-brain  
JSON: https://api.skillsregistry.net/v1/skills/guybr3000-second-brain

## Description

Persistent, semantically-searchable memory for AI agents using local PostgreSQL, pgvector, and Ollama embeddings, exposed via MCP with hybrid retrieval, knowledge graph, and auto-recall hook.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hoynxsu6rm)
- **Repository:** <https://github.com/guybr3000/second-brain>

## 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": "guybr3000-second-brain"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/guybr3000-second-brain` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/guybr3000-second-brain/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