# MenteDB

> Use this tool when you need to manage and persist memory across sessions, leveraging core memory operations, knowledge graph traversal, and cognitive systems. MenteDB solves problems related to information retrieval, semantic search, and memory consolidation, providing a robust interface for inputs and outputs. It is ideal for use cases requiring local, expandable, and API-key-free memory management solutions.

Canonical page: https://skillsregistry.net/skills/nambok-mentedb  
JSON: https://api.skillsregistry.net/v1/skills/nambok-mentedb

## Description

Provides a memory system that persists across sessions with 4 default tools (expandable to 32) covering core memory operations, knowledge graph traversal, memory consolidation, and cognitive systems. Uses local embeddings with all-MiniLM-L6-v2 for semantic search without API keys.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/nambok-mentedb)
- **Repository:** <https://github.com/nambok/mentedb-mcp>

## 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": "nambok-mentedb"
    }
  }
}
```

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