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Dejaview

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Provides persistent knowledge graph memory for AI agents, enabling them to store, recall, and query facts about people, projects, and relationships across sessi

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Описание

Provides persistent knowledge graph memory for AI agents, enabling them to store, recall, and query facts about people, projects, and relationships across sessions.

README

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.

Tool What it does
agent_context Load a full memory summary at session start
remember Store a fact (subject, predicate, object)
remember_many Store multiple facts at once
recall Get everything known about an entity
search Find entities by name
ask Natural language Q&A over the graph with citations
timeline See recently stored facts
graph_stats Entity and relationship counts
share Generate a public shareable link for any entity
forget Remove a specific fact
forget_entity Remove an entity and all its connections

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

from github.com/JakeC77/DejaView-MCP

Установка Dejaview

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/JakeC77/DejaView-MCP

FAQ

Dejaview MCP бесплатный?

Да, Dejaview MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Dejaview?

Нет, Dejaview работает без API-ключей и переменных окружения.

Dejaview — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Dejaview в Claude Desktop, Claude Code или Cursor?

Открой Dejaview на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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