# Memory

> Use this tool when you need to maintain consistent context and preferences across multiple AI applications, ensuring conversational history and user preferences are retained. It provides persistent memory storage through semantic search and RAG capabilities, allowing for seamless interactions between AI clients. Ideal for users seeking continuous AI relationships that recall past interactions and accumulated knowledge over time.

Canonical page: https://skillsregistry.net/skills/pulik-io-memory  
JSON: https://api.skillsregistry.net/v1/skills/pulik-io-memory

## Description

Personal long-term memory MCP server that provides persistent memory storage across different AI clients like Cursor, Claude Desktop, and Windsurf using semantic search and RAG capabilities. Built by @pulik_io and hosted on Cloudflare Workers with D1 database and Vectorize for storage, the implementation generates unique user identifiers stored locally in browsers and provides a web interface for viewing, editing, and managing stored memories. Designed for users who want consistent context and preferences maintained across multiple AI applications without losing conversational history when switching between different MCP clients, enabling truly persistent AI relationships that remember past interactions, user preferences, and accumulated knowledge over time.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

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

## 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": "pulik-io-memory"
    }
  }
}
```

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