# HiveMem

> HiveMem — visterion-hivemem. Use this tool when you need to organize and search your personal knowledge base, leveraging semantic search and temporal knowledge graph capabilities to connect and retrieve information. HiveMem solves problems of information overload and disorganization, providing a robust interface for inputs from various sources, including git. It outputs relevant and contextually-aware search results, making it ideal for use cases where complex knowledge networks need to be navigated and understood.

Canonical page: https://skillsregistry.net/skills/visterion-hivemem  
JSON: https://api.skillsregistry.net/v1/skills/visterion-hivemem

## Description

Personal knowledge system — MCP server with PostgreSQL semantic search and temporal knowledge graph

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/visterion/HiveMem)

## 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": "visterion-hivemem"
    }
  }
}
```

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