dejaview-mcp
Provides persistent knowledge graph memory for AI agents, enabling them to store, recall, and query facts about people, projects, and relationships across sessions.
README
dejaview-mcp
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
- Website: dejaview.io
- API: api.dejaview.io/docs
- GitHub: github.com/JakeC77/DejaView-MCP
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