Membase

Name: Membase
Author: unibaseio

by unibaseioversion 1.0.1i★ –iRuns in the cloud

Registry nameai.membase/membase

Install

Overview

Description from the maker (original English)

Long-term memory for you and your AIs: search memories, read the profile, add facts and documents.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://api.app.membase.com/mcp-http

Run this in your terminal

claude mcp add --transport http membase https://api.app.membase.com/mcp-http

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "membase": {
      "url": "https://api.app.membase.com/mcp-http"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "membase": {
      "type": "http",
      "url": "https://api.app.membase.com/mcp-http"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://api.app.membase.com/mcp-http

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain membase.ai (the registry checks domain ownership)
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

More stars than 0% of the other 7220 servers in this category
Published to the registry more recently than 69% of the other 7220 servers in this category
Basic checks equal to or better than 100% of the other 7220 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Membase safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 17 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Membase

One memory. Every AI. Only yours.

Teach it once. Every AI remembers.

Website · Docs · Web app · Discord · X

Membase is the memory layer for AI agents. It keeps one memory for everything you and your agents know, and every AI you use reads it. You stop re-explaining yourself each time you switch models or tools.

Add. Facts, documents, web pages and chat exports from Claude or ChatGPT go into one memory.
Manage. Memories keep projects apart; search them, ask them questions, forget what should go.
Use. Your code, Claude Code, Cursor, Codex and ChatGPT read the same memory through the SDK or MCP.

This repository is the developer side: Python and TypeScript clients, the membase command line and an MCP server. The memory lives in your Membase account, which the web app and browser extension also fill, or on your machine with unibaseio-membase[local].

Write once, read from any AI

Recordings: Python SDK (57 s) · Claude Code (1 min 33 s). The answer above is illustrative.

Accuracy

93.1% on LoCoMo, 92.6% on LongMemEval_S and 92.2% on DMR, using about 3× fewer tokens than the full history on LoCoMo and 11× fewer on LongMemEval_S. Method and results: membase.com/research

Quickstart

pip install unibaseio-membase              # hosted · Python 3.10+ · needs MEMBASE_API_KEY

pip install 'unibaseio-membase[local]' # local · Python 3.12 or 3.13 · needs OPENAI_API_KEY pip install 'unibaseio-membase[media]' # local + photos, videos and audio npm install @unibaseio/membase # TypeScript · Node 18+ npm install -g @unibaseio/membase-cli # the membase command (hosted) without Python

from membase import Membase

m = Membase() # hosted

m = Membase(local=True) # local, in ~/.membase

m.memories.add("We picked Postgres for the ledger service.") # a fact m.search("what database is the ledger on?") # {"items": [...], "partial": [...]} m.add("Design notes …", custom_id="design-1") # a document m.profile_facts.list() # who the user is (Your profile ticked) m.capabilities() # what this key may do, and the rules

No call names a Memory: reads cover every Memory the key reaches, and writes land in its write target (a key that reaches several Memories and has none is refused with WriteTargetRequiredError). Ids are typed (mem_… a fact, doc_… a document, med_… a photo or video), lists are {items, has_more, partial}, and a removal without confirm=True raises ConfirmationRequiredError. Local memory answers the same routes with the same shapes.

Every method, its REST route and MCP tool, and the access it needs: SDK reference. Upgrading from 0.3: see the changelog. The Python package is unibaseio-membase (import membase); membase on PyPI is unrelated.

Command line

membase --local add "We picked Postgres for the ledger"

membase --local search "what did we pick for the ledger?" membase --local memories list membase --local ask "Which database is the ledger on?" membase --local import ~/Downloads/claude-export.json # Claude, ChatGPT, markdown or JSON chats membase --local agent ingest trace.json --agent coder membase --local agent search "fix flaky deploy" --agent coder membase --local media add ~/Movies/trip.mp4 # shots, speech and speakers membase --local media search "someone skiing" # any language

Without --local (or --store DIR, both before the command) commands use the hosted API; agent, import and serve need unibaseio-membase[local], and media add and media ask (local only) need unibaseio-membase[media]: see Media memory. A local store with several Memories writes where MEMBASE_WRITE_TARGET names.

MCP

claude mcp add membase -- membase --local mcp                                   # local

claude mcp add --transport http membase https://api.app.membase.com/mcp-http \ --header "Authorization: Bearer $MEMBASE_API_KEY" # hosted

Hosted without the header, the connection signs you in and is read-only. Setup for Claude, ChatGPT, Cursor, Codex and other clients: Connect your AI.

Docs

SDK reference: methods, REST routes, MCP tools, access levels
Memory operations: Memories, facts, documents, media, profile, ask
Authentication: keys and what each one can reach
Connect your AI: per-client MCP setup
Agent framework integrations: LangChain, Microsoft Agent Framework, Dify, Hermes Agent, OpenClaw and Strands Agents
Local engine: what it stores, membase serve, settings

License

MIT; see LICENSE. unibaseio-membase[local] also installs unibaseio-membase-core, the compiled engine, under its own Unibase license.

Membase

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

Write once, read from any AI

Accuracy

Quickstart

m = Membase(local=True) # local, in ~/.membase

Command line

MCP

Docs

License