Cursor Membase

Membase Plugin for Cursor

Persistent long-term memory for Cursor — hybrid vector search + knowledge graph.

Website · Docs · Dashboard · Issues

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Give your Cursor agent persistent memory that survives across sessions. Membase uses hybrid vector search + knowledge graph to remember not just text, but entities, relationships, and facts.

> Free to start — Sign up at app.membase.so and connect in under a minute.

Install

Install from the Cursor Marketplace, then click Connect next to the Membase MCP server in Cursor settings to complete OAuth. No CLI, no API keys — one click and you're done.

What It Does

┌─────────────────────────┐
│  AI Session             │  Agent uses search_memory, add_memory,
│                         │  search_wiki, add_wiki, etc.
└───────────┬─────────────┘
            ▼
┌─────────────────────────┐
│  Membase MCP Server     │  Remote server at mcp.membase.so
│  (streamable HTTP)      │  OAuth handled by Cursor
└───────────┬─────────────┘
            ▼
┌─────────────────────────┐
│  Membase Backend        │  Hybrid vector search + knowledge graph
│                         │  Entity/relationship extraction
└─────────────────────────┘

• Always-on rule — Instructs the agent to proactively use Membase MCP tools.
• Knowledge graph — Unlike simple vector-only memory, Membase stores entities, relationships, and facts. Search results include related nodes and edges for richer context.

MCP Tools

Memory (personal context)

| Tool | Description | | --- | --- | | search_memory | Semantic search across memories. Supports date filtering (date_from, date_to), source filtering (sources — e.g. ['slack', 'gmail']), and project scoping. | | add_memory | Store durable personal context — preferences, decisions, goals, architecture choices. | | get_current_date | Get current date/time in user's timezone for anchoring date-range searches. |

Wiki (factual knowledge)

| Tool | Description | | --- | --- | | search_wiki | Hybrid keyword + semantic search for documents, references, and stable knowledge. | | add_wiki | Create a wiki document (markdown with [[wikilinks]]). Optional auto-summarize. | | update_wiki | Update an existing wiki document by ID. | | delete_wiki | Permanently delete a wiki document by ID. |

Resources

| Resource | Description | | --- | --- | | membase://profile | User settings — display name, role, interests, timezone. | | membase://recent | Recent memories timeline (top 10). |

How Membase Differs

| | Simple vector memory | Membase | | --- | --- | --- | | Storage | Flat embeddings | Hybrid: vector embeddings + knowledge graph | | Search | Vector similarity only | Vector + graph traversal (entities, relationships, facts) | | Extraction | Store raw text | AI-powered entity/relationship extraction | | Knowledge | Single store | Separate memory (personal) + wiki (factual knowledge) | | Auth | API key | OAuth 2.0 with PKCE (no secrets to manage) | | Integrations | None | Google Calendar, Gmail, Slack, Notion sync |

Links

• Membase — Website
• Dashboard — Manage your memories
• Docs — Full documentation
• Cursor — AI code editor

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: aristoapp
• Source: aristoapp/cursor-membase
• License: MIT

Install and usage instructions live in the source repository linked above.