Content
<h1 align="center">Membase Plugin for Cursor</h1>
<p align="center">
<a href="https://membase.so/?utm_source=github&utm_medium=cursor-membase"><img src="assets/logo.svg" width="80" height="80" alt="Membase logo"></a>
</p>
<p align="center">
Persistent long-term memory for Cursor — hybrid vector search + knowledge graph.
</p>
<p align="center">
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<p align="center">
<a href="https://membase.so/?utm_source=github&utm_medium=cursor-membase">Website</a> · <a href="https://docs.membase.so">Docs</a> · <a href="https://app.membase.so">Dashboard</a> · <a href="https://github.com/aristoapp/cursor-membase/issues">Issues</a>
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---
Give your [Cursor](https://cursor.com) 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](https://app.membase.so) and connect in under a minute.
## Install
Install from the [Cursor Marketplace](https://cursor.com/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
```txt
┌─────────────────────────┐
│ 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](https://membase.so/?utm_source=github&utm_medium=cursor-membase) — Website
- [Dashboard](https://app.membase.so) — Manage your memories
- [Docs](https://docs.membase.so) — Full documentation
- [Cursor](https://cursor.com) — AI code editor
Connection Info
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