Memex

Name: Memex
Author: dioniipereyraa

by dioniipereyraaversion 0.2.3i★ –iRuns on your computer

Registry nameio.github.dioniipereyraa/memex

Install

Overview

Description from the maker (original English)

One searchable memory of your Claude.ai chats and Claude Code sessions, served over MCP.

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 on your computer
Transport: stdio
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 your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "memex": {
      "command": "uvx",
      "args": [
        "memex-chats"
      ]
    }
  }
}

Run this in your terminal

claude mcp add memex -- uvx memex-chats

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "memex": {
      "command": "uvx",
      "args": [
        "memex-chats"
      ]
    }
  }
}

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": {
    "memex": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "memex-chats"
      ]
    }
  }
}

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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

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

Runs on your computer; the tool list appears in your AI app after you install it.

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account dioniipereyraa, which owns the repo
… 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 applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7284 servers in this category
Published to the registry more recently than 17% of the other 7284 servers in this category
Basic checks equal to or better than 100% of the other 7284 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 Memex 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 on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.3) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

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 yesterday

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 21 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 last month

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.

Memex

Your Claude.ai chats and your Claude Code sessions live in two worlds that never talk. Memex makes them one memory you can search from both.

Local-first MCP server that indexes your Claude.ai chat history and your local Claude Code / terminal sessions, and exposes them to Claude Code (stdio) and Claude.ai (remote MCP connector).

Status: alpha, 0.3.1 on PyPI. Phases 0 to 7 closed, security-audited (plus four adversarial red-team rounds). Shipped: hybrid search, live capture, auto-summaries, chat ↔ repo association, the Claude.ai remote connector (GitHub OAuth), Claude Code / terminal ingestion with secret redaction, one-command setup, cross-platform autostart, and one-click claude.ai history backfill.

*End-to-end demo: from Claude Code, you ask about something you discussed on claude.ai. Memex searches your chat history (search_chats) and Claude answers from the real conversation. No copy-paste, no manual context handoff.*

Install

One command installs uv + Memex and runs memex setup (registers the MCP server, installs the always-on capture service, indexes your local sessions, prints the pairing token):

# macOS / Linux

curl -LsSf https://raw.githubusercontent.com/dioniipereyraa/memex/main/scripts/install-pypi.sh | sh

# Windows (PowerShell)

powershell -ExecutionPolicy ByPass -c "irm https://raw.githubusercontent.com/dioniipereyraa/memex/main/scripts/install-pypi.ps1 | iex"

Then the one browser step a terminal cannot do: install the Chrome extension, paste the token it printed, and click "Backfill claude.ai history". Other paths (pipx, uv tool install, from source) are under Installation.

The problem

Brainstorming and planning happen in Claude.ai. Execution happens in Claude Code. The two worlds do not talk to each other: Claude Code cannot read a chat of yours from Claude.ai, not even the one that originated the task it is currently working on. The memory Anthropic shipped on Claude.ai (March 2026) is curated, not full history, and lives isolated inside Claude.ai.

Memex fills that gap: runs locally, indexes the entire corpus of your chats, and exposes them as MCP tools so Claude can search and pull past context whenever it needs to.

How it works

[Claude.ai]

↓ (official JSON export / Chrome ext) [Ingestor] → [SQLite + sqlite-vec] → [local embeddings (fastembed / Ollama)] ↓ [core: storage + retrieval] ↓ [MCP stdio] ───→ Claude Code, Claude Desktop [MCP Streamable HTTP] ─→ Claude.ai connector

Design: pure core (storage, ingest, embeddings, retrieval) decoupled from transport. The same engine serves both stdio and remote MCP without a rewrite.

Installation

Quick install (one command)

Installs uv if needed (it brings the right Python), installs Memex from PyPI, and runs memex setup to wire it into Claude Code (MCP server + always-on capture service + local session indexing + the pairing token). No git clone required.

# macOS / Linux

curl -LsSf https://raw.githubusercontent.com/dioniipereyraa/memex/main/scripts/install-pypi.sh | sh

# Windows (PowerShell)

powershell -ExecutionPolicy ByPass -c "irm https://raw.githubusercontent.com/dioniipereyraa/memex/main/scripts/install-pypi.ps1 | iex"

The only step a terminal cannot do is the browser one: install the Chrome extension, paste the token the installer prints, and click "Backfill claude.ai history" to import your history. Embeddings work out of the box (a quantized 130 MB fastembed model downloads on first ingest; no Ollama, no API key).

A plain pipx install memex-chats (or uv tool install memex-chats) followed

by memex setup does the same thing in two steps. The autostart service is

generated for the wheel install too (launchd / systemd / a logon Scheduled

Task), so no clone is needed for it.

From source (for development)

Clone the repo to get an editable install plus the extension source and service templates. You need git; the script installs uv and the pinned Python for you.

macOS / Linux

git clone https://github.com/dioniipereyraa/memex

cd memex ./scripts/install.sh

install.sh installs uv if you do not have it, runs uv sync, and verifies the install with memex doctor. That is the whole setup.

Windows (PowerShell)

git clone https://github.com/dioniipereyraa/memex

cd memex powershell -ExecutionPolicy Bypass -File .\scripts\install.ps1

Same three steps as the macOS script (install uv, sync, verify). If git is not installed, get it from git-scm.com first.

Manual (any OS, if you prefer explicit steps)

# 1. Install uv (skip if you already have it):

macOS/Linux: curl -LsSf https://astral.sh/uv/install.sh | sh

Windows: powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

git clone https://github.com/dioniipereyraa/memex cd memex uv sync # installs Python 3.13 + dependencies into .venv uv run memex doctor # verify

Upgrading (already have memex)

Upgrade with the same tool that installed it, or the new version will not land on your PATH. A previous install owns the memex executable, so installing again with a different manager fails with "Executables already exist" and memex keeps running the old version. (This is the usual reason memex sync seems to "not exist" after an upgrade: an old pipx-owned memex shadowed a newer uv tool install.)

# 1. Find which tool owns it:

which memex # macOS / Linux Get-Command memex # Windows (PowerShell)

2. Upgrade with that tool:

pipx upgrade memex-chats # if pipx owns it uv tool upgrade memex-chats # if uv owns it

If you want to switch managers, uninstall the old one first (pipx uninstall memex-chats or uv tool uninstall memex-chats), then reinstall. After upgrading, memex --version shows the new version and memex doctor should pass.

Multi-device (optional)

To make Claude one memory across several machines, install Tailscale first (so each device has a stable private address), then opt in once per device:

memex setup --sync     # opt-in, persisted: the always-on service is sync-reachable

It prints the single memex sync connect ... line to run on your other devices. The choice is saved, so the service stays sync-reachable across reboots without re-running anything. Full flow, security model, and the manual one-shot alternative are in Syncing across your devices.

For a dual-boot machine (Linux and Windows that are never on at the same time), use file-based sync instead: memex setup --sync-dir on each OS, pointed at the same folder. No Tailscale, no two devices online at once. See Dual-boot or never-online-together.

First run

The fast path is one command:

uv run memex setup

memex setup wires everything end to end and is safe to re-run: it registers the MCP server with Claude Code (claude mcp add), installs the always-on live-capture service (launchd on macOS, systemd on Linux, a Scheduled Task on Windows), indexes your local Claude Code sessions, and prints the access token to paste into the Chrome extension. Each step degrades to a warning instead of aborting the rest. Flags: --no-mcp, --no-autostart, --no-ingest, --remote (also install the claude.ai connector agent), -y (no prompt).

After that, the only manual step left is installing the Chrome extension and pasting the token, so new chats are captured as you go.

Manual steps (if you prefer to run them yourself)

# 1. Request your official Claude.ai export (Settings → Privacy → Export data),

then ingest it (first run downloads the embedding model, ~30s):

uv run memex ingest /path/to/your-export.zip

2. Optionally index your local Claude Code / terminal sessions:

uv run memex ingest-claude-code

3. Search, or wire it into Claude Code (see "Wiring it into Claude Code"):

uv run memex search "your query" -n 5 uv run memex stats

(If you installed with a script, the commands above work as written. If you installed the published PyPI package instead, drop the uv run prefix.)

Where your data lives. From a cloned repo, the database and exports stay

in /data. From a uvx/pip install, they go to your OS data

directory (~/Library/Application Support/memex on macOS,

%LOCALAPPDATA%\memex on Windows, ~/.local/share/memex elsewhere). Override

with MEMEX_DB_PATH / MEMEX_EXPORTS_DIR. memex doctor prints the resolved

path.

Using Memex (after setup)

Once memex setup finishes, nothing else needs launching: the capture server and the indexers run in the background. You use Memex three ways.

1. From Claude Code (the main way). Setup registers the MCP server, so Claude Code can search your whole history and keep it fresh through these tools:

Tool	What it does
`search_chats`	Semantic + keyword search across your claude.ai chats AND Claude Code sessions
`get_chat`	Fetch a full conversation by id
`list_recent_chats`	Your most recent conversations
`find_related`	Conversations related to a topic or snippet
`index_terminal_sessions`	Index your local Claude Code sessions now (so the current one becomes searchable)
`sync_now`	Sync with your other devices now (paired peers + the dual-boot shared folder)

Just ask Claude Code naturally ("what did we decide about X in my claude.ai chats?", "index this session", "sync this to my other devices") and it calls these. index_terminal_sessions and sync_now are local-only (never exposed to the remote claude.ai connector). Note sync_now sends what is already indexed, so to include the session you are in, ask Claude to index_terminal_sessions first. To have context injected automatically at the start of a session, add the optional SessionStart hook.

2. From the terminal. memex search "...", memex stats, memex doctor, memex token (re-print the extension pairing token), memex --version.

3. Capture (automatic, you run nothing). The Chrome extension indexes a claude.ai chat as you open or reload it (and its "Backfill" button imports your old history once); your Claude Code sessions are indexed when a session ends, plus a 15-minute backstop.

How fresh is the data (real-time)?

Path	Latency
A claude.ai chat into your local index	Near-instant: captured as you open/reload the chat (embedded in seconds)
A Claude Code session into your local index	At session end, plus a 15-minute backstop
Available to Claude Code on the same machine	Immediate (it reads the same local DB the capture writes)
Across devices	Not live. Periodic + overlap: see below

Same-machine is essentially real-time. Cross-device is not a live relay (it is peer-to-peer with no cloud): paired devices auto-reconcile every 15 minutes while

Only the beginning is shown; read the rest in the repo

Memex

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

Memex

Install

The problem

How it works

Installation

Quick install (one command)

From source (for development)

macOS / Linux

Windows (PowerShell)

Manual (any OS, if you prefer explicit steps)

macOS/Linux: curl -LsSf https://astral.sh/uv/install.sh | sh

Windows: powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Upgrading (already have memex)

2. Upgrade with that tool:

Multi-device (optional)

First run

Manual steps (if you prefer to run them yourself)

then ingest it (first run downloads the embedding model, ~30s):

2. Optionally index your local Claude Code / terminal sessions:

3. Search, or wire it into Claude Code (see "Wiring it into Claude Code"):

Using Memex (after setup)

How fresh is the data (real-time)?