Dejaview Mcp

DejaView is a persistent knowledge graph memory layer for AI agents. It gives every MCP-compatible AI host shared, queryable memory of people, projects, decisions, and relationships — stored in a graph that grows smarter over time. Get your API key at dejaview.io Setup { "mcpServers": { "dejaview": { "command": "dejaview-mcp", "env": { "DEJAVIEW_API_KEY": "dv_your_key_here" } } } } Install the server: pip install dejaview-mcp 12 MCP Tools Tool Description agent_context Load a full memory summary — top entities, recent activity, and graph stats. Call at the start of every conversation. remember Store a fact as subject → predicate → object. Use for decisions, relationships, preferences, events. remember_many Store multiple facts at once. More efficient than looping remember(). recall Get everything known about an entity — all relationships in and out. search Find entities by name (partial match). Use before recall() when unsure of exact name. ask Ask a natural language question about your graph. Returns a cited answer backed by real stored facts. timeline See recently stored facts in reverse chronological order. graph_stats High-level summary: entity count, types, relationship count. share Generate a public interactive graph link for any entity and its connections. forget Remove a specific fact without deleting the entities. forget_entity Remove an entity and all its relationships. Key Features Knowledge Graph — typed relationships between any entities: people, projects, orgs, tools, decisions Natural Language Q&A — ask questions in plain English, get answers with graph citations Public Sharing — share any entity's subgraph as an interactive visual graph, no account needed Works everywhere — Claude Desktop, Cursor, Windsurf, or any MCP-compatible host