# Tempreon — Personal AI Memory

Tempreon carries personal knowledge and work preferences across connected AI clients. Use it when you want those tools to draw on the same context instead of starting from scratch.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed, Gemini CLI
- Author: Tempreon
- License: not stated · policy=link-only · description only; the file stays with the author
- Source: https://github.com/Tempreon/tempreon-mcp
- Updated: 2026-10-01
- HTML: https://affpapa.org/en/nevibecode/mcp/tempreon-personal-ai-memory

## What it does

Tempreon keeps a personal layer of knowledge, decisions, and work patterns that connected AI clients can draw on. Context collected in one client can be available in another, such as Claude Code or Cursor. The service also refines its understanding of how you work as you use it.

This is a hosted MCP server using Streamable HTTP, so there is no local process or config file to maintain. Start by creating an account and completing the introductory setup; then generate a Bridge and approve access through OAuth in your browser. Account setup and authorization are required before a client can connect.

## Requirements
- Remote server: `https://api.tempreon.com/functions/v1/tempreon-mcp/mcp`

## Install

### Claude Code (native platform)

**Platform CLI: remote server**
```bash
claude mcp add --transport http tempreon https://api.tempreon.com/functions/v1/tempreon-mcp/mcp
```

### Codex

**Platform CLI: remote server**
```bash
codex mcp add tempreon-personal-ai-memory --url https://api.tempreon.com/functions/v1/tempreon-mcp/mcp
```

### Cursor

**Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "tempreon-personal-ai-memory": {
            "url": "https://api.tempreon.com/functions/v1/tempreon-mcp/mcp"
        }
    }
}
```

### GitHub Copilot

**Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "tempreon-personal-ai-memory": {
            "type": "http",
            "url": "https://api.tempreon.com/functions/v1/tempreon-mcp/mcp"
        }
    }
}
```

### Gemini CLI

**Platform CLI: remote server**
```bash
gemini mcp add -t http tempreon-personal-ai-memory https://api.tempreon.com/functions/v1/tempreon-mcp/mcp
```

## When to use it
- carry personal context between AI clients
- reuse decisions captured in Claude Code from Cursor
- give an agent access to established work preferences
- avoid repeating background when switching AI tools

## Example prompts
- Use my saved decisions to suggest an approach to this task.
- Compare this option with my work preferences and explain any differences.
- Apply the context I saved while using another AI client.

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