Dejaview

Persistent knowledge graph memory for AI agents — an MCP server backed by DejaView.

Connect Claude Desktop, Cursor, Windsurf, or any MCP-compatible host to a live knowledge graph. Your AI remembers people, projects, decisions, and relationships across every session.

Get your free API key at dejaview.io.

Option 1: Cloud (no install required) ⚡

The fastest way to get started — no pip install, no local process.

{
  "mcpServers": {
    "dejaview": {
      "type": "streamable-http",
      "url": "https://api.dejaview.io/mcp",
      "headers": {
        "Authorization": "Bearer dv_your_key_here"
      }
    }
  }
}

Paste this into your Claude Desktop, Cursor, or Windsurf MCP config. Done.

Option 2: Local (pip install)

If you prefer to run the server locally:

pip install dejaview-mcp

Add to your config:

{
  "mcpServers": {
    "dejaview": {
      "command": "dejaview-mcp",
      "env": {
        "DEJAVIEW_API_KEY": "dv_your_key_here"
      }
    }
  }
}

Config file locations:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Linux: ~/.config/claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

What it does

DejaView gives your AI a persistent knowledge graph it can read from and write to across sessions. Unlike flat context windows that reset every chat, the graph grows over time.

Example

Once connected, just chat naturally:

"Remember that Alice is the lead on Project Atlas and prefers async communication."

The agent calls remember() automatically. Next session:

"What do I know about Alice?"

The agent calls recall("Alice") and tells you everything — including things you told it months ago.

Self-hosting

Want to run your own DejaView instance? The API is open source: github.com/JakeC77/DejaView

Set DEJAVIEW_ENDPOINT to point at your instance:

DEJAVIEW_API_KEY=dv_... DEJAVIEW_ENDPOINT=https://your-instance.com dejaview-mcp

Links

• Website: dejaview.io
• API: api.dejaview.io/docs
• GitHub: github.com/JakeC77/DejaView-MCP