# Memory PouchDB

> Use this tool when you need to store and retrieve complex information about entities and their relationships in a knowledge graph-based system. It solves problems related to maintaining conversational context, user preferences, and historical information across interactions. The tool accepts JSON data as input and provides a comprehensive API for creating, reading, updating, and deleting graph elements, with outputs in JSON format.

Canonical page: https://skillsregistry.net/skills/bneil-memory-pouchdb  
JSON: https://api.skillsregistry.net/v1/skills/bneil-memory-pouchdb

## Description

MCP Memory PouchDB provides a knowledge graph-based memory system for AI assistants to store and retrieve information about entities, their relationships, and observations. Built by bneil, it uses PouchDB with a memory adapter for primary storage and maintains a JSON file backup, offering tools for creating, reading, updating, and deleting graph elements through a comprehensive API. The implementation includes robust error handling with retry mechanisms, supports both in-memory and file-based persistence, and is particularly valuable for maintaining conversational context across interactions, enabling assistants to remember user preferences, relationships, and historical information.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

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

## 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": "bneil-memory-pouchdb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bneil-memory-pouchdb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bneil-memory-pouchdb/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