Memnar

Your portable, growing memory for AI.

CommunityOnlineNo sign-inGlobalFreeRead-only

What it can do

  • Search Memory: Search the user's Memnar memory by keyword: their learned patterns (ranked by confidence) plus matching excerpts from their AI-self files. Use mid-task when past experience could help;
  • Read Context: Return the user's full Memnar: their AI-self files (identity, voice, rules, expertise, workflows — distilled from their own work) plus their learned patterns. Call once at the start of a
  • Search: Search the user's Memnar memory (learned patterns + AI-self files) by keyword. Read-only.

What data it sees

Do you need an account

No: the server works without sign-in

Your portable, growing memory for AI. EU-hosted personal knowledge layer: serves your AI-self files (identity, voice, rules) and learned patterns to any MCP client. Read-only by default; save-lesson only on your explicit ask. OAuth 2.1.

How to connect

How to connect Memnar to Claude

The server address to paste into Claude settings:

https://memnar--annet.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Memnar to ChatGPT

The server address to paste into ChatGPT settings:

https://memnar--annet.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Memnar to Cursor

The server address to paste into Cursor settings:

https://memnar--annet.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (6)

Raw names from tools/list. Only developers need these.

search-memorySearch the user's Memnar memory by keyword: their learned patterns (ranked by confidence) plus matching excerpts from their AI-self files. Use mid-task when past experience could help; prefer this over read-context when you have a specific question. Read-only.
read-contextReturn the user's full Memnar: their AI-self files (identity, voice, rules, expertise, workflows — distilled from their own work) plus their learned patterns. Call once at the start of a session (or when asked what you know about the user) to load who they are and how they work. Read-only.
searchSearch the user's Memnar memory (learned patterns + AI-self files) by keyword. Read-only.
fetchReturn the user's full Memnar: their AI-self files plus their learned patterns. Read-only.
list-collectionsList counts of the user's Memnar memory by status and confidence. Metadata only. Read-only.
save-lessonSave something the user explicitly asked to remember into their Memnar memory. Use ONLY on a clear user request ("remember that...", "save this"). The lesson lands as reviewable memory the user can edit or delete in the Memnar app.