Memoreei

Remember every conversation you've ever had.

Memoreei is an open-source MCP server that gives AI assistants a searchable memory of your entire personal communication history. It connects to 13 platforms so far — Discord, WhatsApp, Telegram, Signal, iMessage, Gmail, Slack, Instagram, and more — ingests your messages, and indexes them with a hybrid search engine combining keyword and semantic vector search. Any AI client that supports the Model Context Protocol can then query your memories as naturally as asking a question.

The problem it solves: every AI assistant starts each conversation with no knowledge of who you are, what you've discussed, or what matters to you. Memoreei changes that by turning years of your personal conversations into a living, searchable knowledge base — surfaced exactly when your AI needs it.

"What's my friend's favorite restaurant?"
"What did my sister say she wanted for her birthday?"
"How many times have I asked Dory to send that link again?"

Your AI can answer these now. Without Memoreei, it can't.

---

It's Also a Platform

Memoreei isn't just a memory server — any app can be built on top of it. Two of our favorites:

• Movie Ring — Ranks movies based on what your friends are actually talking about in the group chat that never shuts up.
• Contact Dossier — A personal CRM that builds itself from your conversations. No data entry required.

---

Key Features

• Local-first — all data stays in a single SQLite file on your machine
• 13 sources and counting — WhatsApp, Discord, Telegram, Slack, Matrix, iMessage, Signal, Gmail, Instagram, Mastodon, and more
• MCP-native — every tool over stdio for a local client; a key-protected, read-only surface over the network for everything else
• Hybrid search — BM25 keyword search + vector semantic search, fused with Reciprocal Rank Fusion
• No mandatory cloud — default embedding model runs fully offline via ONNX
• Runs anywhere — pip install memoreei on a laptop, a home server or in Docker; reach it from any machine on your network

---

Supported Sources

Source	Type	Status
WhatsApp (.txt export)	File import	✅ Stable
Discord (bot API)	Live sync	✅ Stable
Discord Data Package (GDPR export)	File import	✅ Stable
Telegram (bot API)	Live sync	✅ Stable
Slack (Web API)	Live sync	✅ Stable
Matrix (Client-Server API)	Live sync	✅ Stable
Mastodon (REST API)	Live sync	✅ Stable
Gmail (IMAP)	Live sync	✅ Stable
Instagram DMs (GDPR export)	File import	✅ Stable
Facebook Messenger (GDPR export)	File import	✅ Stable
SMS Backup & Restore XML	File import	✅ Stable
Generic JSON / JSON-lines	File import	✅ Stable
Generic CSV / TSV	File import	✅ Stable
iMessage (macOS)	Live sync	🧪 Beta
Signal Desktop	Live sync	🧪 Beta
Manual notes (add_memory)	MCP tool	✅ Stable

File import — one-time or repeated ingest from an exported file. Live sync — incremental sync via API, checkpoint-based (only fetches new messages).

---

Quick Start

On a Mac? Memoreei.app is the easy way: nothing to install first, no Terminal, and it's the only way to read iMessage without granting Full Disk Access to Python itself.

pip install memoreei
memoreei setup           # interactive — pick connectors, enter credentials
memoreei sync            # pull messages from configured sources

Or from source:

git clone https://github.com/CalebChristiansen/Memoreei.git
cd Memoreei
python -m venv .venv && source .venv/bin/activate
pip install -e '.[dev]'

Everything memoreei knows lives in one directory: config.env for settings and credentials, memoreei.db for the memories. It's ~/Library/Application Support/Memoreei on macOS (shared with Memoreei.app) and ~/.memoreei everywhere else. Every command finds it from wherever you run it. Point it elsewhere with --home <dir> or MEMOREEI_HOME.

Then connect an AI client, either on the same machine or over the network.

On the same machine (stdio)

The client starts memoreei itself and talks to it over stdio. No network, no key, and every tool, including the ones that import files. Add to your MCP client config (.mcp.json, claude_desktop_config.json, or wherever your client keeps them):

{
  "mcpServers": {
    "memoreei": {
      "command": "memoreei",
      "args": ["serve"]
    }
  }
}

Use the full path to memoreei (which memoreei) if it's installed in a virtualenv your client doesn't know about. For Claude Code: claude mcp add memoreei -- memoreei serve.

From other machines (network server)

See Run it as a network server, next.

---

On a Mac: Memoreei.app

A menu-bar app with the whole server inside it, Python included. It runs the network server, asks for nothing to be installed first, and sets itself up through a dashboard in your browser.

1. Download the DMG for your Mac from the latest release: Memoreei-arm64.dmg for Apple silicon (Apple menu → About This Mac says Chip Apple M…), Memoreei-x86_64.dmg for Intel. macOS 12 or newer.
2. Drag Memoreei into Applications.
3. Open it the first time from Finder, in the Applications folder. The app isn't signed by Apple yet, so macOS won't open it with a double-click, and opening it from Launchpad or Spotlight only says it can't be opened, with no way past. On macOS 12–14, right-click Memoreei → Open, then Open in the dialog. On macOS 15 and later, double-click it once, then go to System Settings → Privacy & Security, scroll down, and click Open Anyway next to the message about Memoreei. You do this once per download.
4. Full Disk Access. A window walks you through it: macOS gives apps no way to ask, so you drag Memoreei's icon into the Full Disk Access list yourself. The window notices when it's done. If macOS offers to Quit & Reopen Memoreei, go ahead.
5. The firewall may ask whether Memoreei Server may accept incoming connections. Click Allow, or other machines can't reach it.
6. The dashboard opens in your browser. Under Sources, set up iMessage; under Clients, create a key for each machine or app that will search your memories. The key is shown once, with ready-to-paste setup for Claude Code and .mcp.json.

Memoreei lives in the menu bar from then on and starts at login (switch that off in its menu). Open Memoreei… signs you in to the dashboard. Quit stops the server too, so clients lose access until you open it again.

Updates. The menu shows Update Available when there's a new release. Download the new DMG and replace the app. Until Memoreei is signed, macOS treats each new version as a stranger and switches its Full Disk Access off; the setup window reopens by itself, and Memoreei is still in the list, so you just switch it back on.

Where things are. Data in ~/Library/Application Support/Memoreei, logs in ~/Library/Logs/Memoreei (Show Log in the menu). A memoreei installed with pip on the same Mac uses the same data, so memoreei key list in Terminal shows the app's keys. Don't run both servers at once: they'd want the same port, and the app will say so rather than fight over it.

---

Run it as a network server

Run memoreei on one always-on machine (a home server, a desktop, a Mac that never sleeps) and query your memories from every other one. It serves MCP's Streamable HTTP transport at /mcp, and every request needs an API key.

1. Install

python3 -m venv ~/memoreei-venv
source ~/memoreei-venv/bin/activate
pip install memoreei

Python 3.10 or newer. On macOS, python3 --version first; the system Python may be older. To try a release candidate, pip install --pre memoreei.

2. Configure

memoreei setup

The wizard asks which embedding provider to use, whether to sync in the background, and which connectors to configure. It writes config.env in the home directory (readable only by you), then offers to create the first API key. Say yes, and name it after the machine that will use it.

Pull in what you have:

memoreei sync                          # every connector you configured
memoreei import whatsapp chat.txt      # and any exports you have lying around

3. Create a key per client

memoreei key create laptop

The key is printed once and never again; memoreei keeps only a hash of it. Alongside it you get ready-to-paste client config with this machine's address filled in: a claude mcp add command and a .mcp.json snippet. If the machine has several addresses (Wi-Fi, Ethernet, a VPN), you get one URL per address; use whichever the client can reach.

One key per client means that losing a laptop costs you one memoreei key revoke laptop, not a round of changing every other client. memoreei key list shows when each key was last used.

4. Start it, and keep it running

memoreei service install

This registers a background service (launchd on macOS, a systemd user unit on Linux) that starts at login, restarts if it crashes, and runs memoreei serve --http on port 3679. To look after it:

memoreei service status     # is it running?
memoreei service logs       # tail the log; each request is logged with its key's name
memoreei service uninstall  # remove it

To run it in the foreground instead: memoreei serve --http. Until at least one key exists it refuses every client; there is no way to run the network server open.

Port 3679 spells DORY on a phone keypad. It is officially registered to the Apple Newton's dock sync, a device discontinued in 1998, which is not expected to object. Change it with --port or MEMOREEI_PORT.

On a Linux server with no desktop login, run loginctl enable-linger $USER once so the user service starts at boot rather than at your first SSH login.

macOS firewall: if it's on (System Settings → Network → Firewall), other machines can't connect until you allow the Python that runs memoreei to accept incoming connections. macOS asks with a dialog on the Mac's screen the first time the server starts; click Allow. Missed it? Firewall → Options → +, and add the interpreter memoreei service grant-access points you at (the same file, for the same reason). The symptom is a client that times out while curl http://127.0.0.1:3679/mcp on the Mac itself answers 401.

macOS and iMessage: reading ~/Library/Messages/chat.db needs Full Disk Access, and macOS gives apps no way to ask for it. memoreei service install offers to walk you through it, or at any time:

memoreei service grant-access

A dialog explains each step, then opens System Settings at Full Disk Access and a Finder window with the exact file to add already selected: the real Python interpreter behind your virtualenv, usually buried somewhere nobody finds by hand. Drag it into the list, switch it on, click Done, and memoreei restarts the service and tells you whether it can now read your messages. It has to be done in person, at the Mac. The service log also says Full Disk Access: ok or missing each time it starts.

The dashboard

The server has a web dashboard at /admin for what setup and key do on the command line: status, sources, and client keys. It answers only on the machine the server runs on, and only after you sign in with a one-time link:

memoreei admin-url     # prints http://localhost:3679/admin/login?token=…

Open the link in a browser on that machine. It works once, within five minutes, and signs that browser in for a month. The dashboard never accepts API keys, and API keys never open it.

5. Connect a client

Claude Code — paste the command key create printed:

claude mcp add --transport http memoreei http://<server-ip>:3679/mcp \
  --header "Authorization: Bearer <key>"

A project .mcp.json — keep the key out of the file and in an environment variable, which Claude Code expands:

{
  "mcpServers": {
    "memoreei": {
      "type": "http",
      "url": "http://<server-ip>:3679/mcp",
      "headers": { "Authorization": "Bearer ${MEMOREEI_KEY}" }
    }
  }
}

claude.ai (custom connectors) — these call your server from Anthropic's servers, not from your browser, so they can't reach an address on your home network or VPN. They need a public HTTPS URL (see below). Add the connector with that URL, and put the key in an Authorization: Bearer <key> request header in the connector's settings.

Any other MCP client that supports Streamable HTTP and custom headers works the same way: URL, plus that header.

HTTPS

memoreei speaks plain HTTP by default, like Jellyfin, the *arr apps and Home Assistant. That's fine on a home network or a VPN, where the network is the thing keeping strangers out and the key is the thing keeping everyone else out. For anything public, put HTTPS in front.

A reverse proxy (recommended for a public URL). Caddy gets and renews a certificate by itself:

memories.example.com {
    reverse_proxy <server-ip>:3679
}

Then tell memoreei the URL clients should use, so key create prints it: MEMOREEI_PUBLIC_URL=https://memories.example.com in config.env.

Or let memoreei do it, if you already have a certificate:

memoreei serve --http --tls-cert /path/to/cert.pem --tls-key /path/to/key.pem

or set MEMOREEI_TLS_CERT and MEMOREEI_TLS_KEY in config.env, which the service picks up.

What the network can do

Over the network memoreei is read-only, plus one refresh button. It offers search_memory, get_context, list_sources and sync, and nothing else. It can't be told to import a file, fetch from a new account or store a note; several local tools take a path on the server, and a key holder shouldn't be able to point one at your SSH keys and search them back out. Filling the database is a local job: memoreei setup, memoreei import …, or a stdio client on the server itself.

sync takes no arguments. It runs the connectors configured on the server and re-reads any import files registered there (see memoreei import list) that changed since the last read.

Updating

source ~/memoreei-venv/bin/activate
pip install --upgrade memoreei
memoreei service install   # rewrites the service for the new version and restarts it

---

MCP Tools

A local (stdio) client gets every tool below. A network client gets only the four marked network: see What the network can do.

Tool	Local	Network
search_memory, get_context, list_sources	✅	✅
sync	✅	✅
add_memory	✅	—
ingest_whatsapp, import_*	✅	—
sync_<source>, sync_all, refresh_memory, sync_contacts	✅	—

Search & Retrieval

search_memory · network

Hybrid keyword + semantic search across all ingested memories.

Parameter	Type	Default	Description
query	string	required	Natural language search query
limit	int	10	Max results to return
source	string	—	Filter by source, e.g. whatsapp:friends, discord:1234567890
participant	string	—	Filter by sender name (case-insensitive)
after	string	—	ISO date lower bound, e.g. 2026-01-01
before	string	—	ISO date upper bound

get_context · network

Fetch surrounding messages for a specific memory — essential for understanding the conversation around a result.

Parameter	Type	Default	Description
memory_id	string	required	Memory ID (ULID) from search results
before	int	5	Messages to include before the target
after	int	5	Messages to include after the target

add_memory

Manually store a note, fact, or anything worth remembering. Auto-embeds content immediately.

Parameter	Type	Default	Description
content	string	required	Text to remember
source	string	"manual"	Source label
metadata	dict	—	Optional key-value pairs

list_sources · network

Inventory all ingested sources with message counts.

{
  "whatsapp:friends": 1842,
  "discord:1234567890": 391,
  "telegram:-100987654321": 227,
  "manual": 12
}

---

File Import Tools

ingest_whatsapp

Import a WhatsApp chat export .txt file. Handles multi-line messages, media placeholders, and deduplication on re-import.

Parameter	Type	Description
file_path	string	Path to the WhatsApp .txt export file

import_discord_package

Import a Discord GDPR data export (all channels and DMs). Accepts a ZIP file or extracted folder.

Request your data at: Discord Settings → Privacy & Safety → Request All of My Data

Parameter	Type	Description
package_path	string	Path to extracted folder or ZIP file

import_messenger

Import Facebook Messenger messages from a GDPR data download (JSON format).

Download at: Facebook Settings → Your Information → Download Your Information

Parameter	Type	Description
data_path	string	Path to the extracted folder containing messages/inbox/

import_instagram

Import Instagram DMs from a GDPR data download (JSON format).

Download at: Instagram Settings → Accounts Center → Your Information → Download Your Information

Parameter	Type	Description
data_path	string	Path to the extracted folder containing your_instagram_activity/

import_sms_backup

Import SMS/MMS messages from an Android SMS Backup & Restore XML file.

Parameter	Type	Description
file_path	string	Path to the XML backup file

import_json_file

Import messages from any JSON file. Supports JSON arrays, JSON-lines, and wrapped objects. Covers Google Chat takeout, Google Hangouts, LinkedIn data, and custom formats.

Parameter	Type	Default	Description
file_path	string	required	Path to the JSON or JSON-lines file
content_field	string	required	Field name containing the message text
sender_field	string	—	Field name for sender name
timestamp_field	string	—	Field name for timestamp (auto-detects format)
source_label	string	"json-import"	Tag for imported messages

import_csv_file

Import messages from any CSV or TSV file. Auto-detects delimiter (comma, tab, semicolon). Covers LinkedIn exports and any custom spreadsheet format.

Parameter	Type	Default	Description
file_path	string	required	Path to the CSV/TSV file
content_column	string	required	Column name for message text
sender_column	string	—	Column name for sender
timestamp_column	string	—	Column name for timestamp
source_label	string	"csv-import"	Tag for imported messages

---

Live Sync Tools

All sync tools use checkpoint-based incremental sync — only new messages are fetched on subsequent runs.

sync_discord

Sync messages from a Discord channel via the bot API.

Parameter	Type	Default	Description
channel_id	string	DISCORD_CHANNEL_ID env var	Discord channel ID

sync_telegram

Sync messages received by a Telegram bot via getUpdates. Bot must be a member of the target group or have received DMs.

Parameter	Type	Default	Description
chat_id	string	TELEGRAM_CHAT_ID env var	Chat ID (positive = DM, negative = group). Syncs all if omitted.

sync_matrix

Sync messages from a Matrix room using the Client-Server API.

Parameter	Type	Default	Description
room_id	string	MATRIX_ROOM_ID env var	Matrix room ID, e.g. !abc123:matrix.org

sync_slack

Sync messages from a Slack channel via the Web API (conversations.history). Requires bot token with channels:history and users:read scopes.

Parameter	Type	Default	Description
channel_id	string	SLACK_CHANNEL_ID env var	Slack channel ID, e.g. C1234567890

sync_email

Sync Gmail messages via IMAP. Uses per-folder UID checkpointing.

Parameter	Type	Default	Description
folder	string	"INBOX"	IMAP folder, e.g. [Gmail]/Sent Mail
max_emails	int	200	Maximum emails per sync

sync_mastodon

Sync Mastodon posts. Public and hashtag timelines require no authentication.

Parameter	Type	Default	Description
instance	string	MASTODON_INSTANCE env var	Instance URL, e.g. https://fosstodon.org
hashtag	string	MASTODON_HASHTAG env var	Hashtag without #, or omit for public timeline
access_token	string	MASTODON_ACCESS_TOKEN env var	OAuth token (optional, for home timeline)

sync_imessage

🧪 Beta — macOS only. Requires Full Disk Access for the program running memoreei: Memoreei.app walks you through it, and memoreei service grant-access does for a pip install.

Sync iMessage/SMS conversations from ~/Library/Messages/chat.db (read-only).

Parameter	Type	Description
chat_name	string	Optional — filter by contact name or identifier (e.g. +1234567890)

sync_signal

🧪 Beta — requires pysqlcipher3. Signal Desktop must be installed.

Sync Signal Desktop messages from the local encrypted SQLCipher database. Default paths: ~/.config/Signal/sql/db.sqlite (Linux), ~/Library/Application Support/Signal/sql/db.sqlite (macOS).

Parameter	Type	Description
conversation_id	string	Optional — filter by conversation ID, name, or phone number

---

Utility Tools

sync · network

Refresh from everything configured on the server: every connector in config.env, plus registered import files that changed since they were last read. Takes no arguments. Returns counts per connector and per import file.

refresh_memory

Trigger an immediate sync of all configured sources. Returns count of new messages.

sync_all

Sync every configured connector and return counts per source.

---

CLI Reference

# Every command takes --home to use a different home directory
memoreei --home /srv/memoreei status

# Interactive setup — writes config.env in the home directory, offers the first API key
memoreei setup             # pick from a list (spacebar to select, enter to confirm)
memoreei setup gmail       # configure a specific connector directly

# Start the MCP server for a local client (stdio)
memoreei serve

# Start the network server (Streamable HTTP at /mcp, port 3679, key required)
memoreei serve --http
memoreei serve --http --host 0.0.0.0 --port 3679
memoreei serve --http --tls-cert cert.pem --tls-key key.pem

# API keys for network clients: one per client, shown once
memoreei key create laptop
memoreei key list
memoreei key revoke laptop

# A one-time link that signs a browser in to the dashboard (/admin)
memoreei admin-url

# Run the network server in the background (launchd / systemd)
memoreei service install [--port 3679]
memoreei service status | logs | uninstall

# Show DB stats: message counts, sources
memoreei status

# Sync everything: configured connectors, plus changed registered import files
memoreei sync

# Sync one connector
memoreei sync discord        # telegram, matrix, slack, email, mastodon, imessage

# Search from the terminal
memoreei search "API redesign notes"
memoreei search "printer issue" --limit 5 --source whatsapp:friends

# Import files (each one is remembered, and re-read by `memoreei sync` when it changes)
memoreei import whatsapp "WhatsApp Chat.txt"
memoreei import sms sms-backup.xml
memoreei import discord-package discord-package.zip
memoreei import messenger ~/Downloads/facebook-export/messages
memoreei import instagram ~/Downloads/instagram-export
memoreei import json chat.json --content-field text --sender-field from --timestamp-field ts
memoreei import csv chat.csv --content-column body --sender-column who
memoreei import contacts contacts.vcf

# The remembered import files
memoreei import list
memoreei import forget 3     # stop re-reading it; what was imported stays

# Show current configuration (tokens masked)
memoreei config

---

Architecture

 ┌──────────────────────────────────────────────────────────────────────┐
 │                          Your Data Sources                           │
 │                                                                      │
 │  File Imports                          Live Sync (API)               │
 │  ─────────────────────────────         ──────────────────────────    │
 │  WhatsApp .txt  Instagram JSON         Discord    Telegram           │
 │  Messenger JSON SMS Backup XML         Slack      Matrix             │
 │  Discord ZIP    Generic JSON/CSV       Gmail      Mastodon           │
 │                                        iMessage   Signal             │
 └──────────────┬───────────────────────────────┬─────────────────────┘
                │                               │
                ▼                               ▼
 ┌──────────────────────────────────────────────────────────────────────┐
 │                        Memoreei MCP Server                           │
 │                                                                      │
 │  ┌────────────────────┐  ┌──────────────────┐  ┌─────────────────┐  │
 │  │    Connectors      │  │  Hybrid Search   │  │   MCP Tools     │  │
 │  │                    │  │                  │  │                 │  │
 │  │  13 sources        │  │  FTS5 (BM25)     │  │  search_memory  │  │
 │  │  file + live sync  │  │  + vector cosine │  │  get_context    │  │
 │  │  checkpoint-based  │  │  + RRF fusion    │  │  add_memory     │  │
 │  │  dedup on import   │  │                  │  │  list_sources   │  │
 │  │                    │  └────────┬─────────┘  │  ingest_*       │  │
 │  │                    │           │            │  import_*       │  │
 │  │                    │           │            │  sync_*         │  │
 │  │                    │  ┌────────▼──────────┐ │  refresh_memory │  │
 │  │                    │  │  SQLite Database  │ │  sync_all       │  │
 │  │                    │  │  memories + FTS5  │ └────────┬────────┘  │
 │  └────────────────────┘  │  embeddings BLOB  │          │           │
 │                          │  sync checkpoints │          │           │
 │                          └───────────────────┘          │           │
 └────────────────────────────────────────────────────────┼────────────┘
 │                                                          │ stdio / HTTP
                                                          ▼
                                               ┌─────────────────────┐
                                               │    MCP Clients      │
                                               │                     │
                                               │  Any AI assistant   │
                                               │  that speaks MCP    │
                                               └─────────────────────┘

---

How Hybrid Search Works

Memoreei runs two searches in parallel and fuses the results:

Query: "that weird API rate limit issue"
         │
         ├──▶ FTS5 BM25 keyword search
         │    Matches "API", "rate", "limit" — fast, exact
         │    Returns ranked list of IDs
         │
         └──▶ Vector search (cosine similarity)
              Matches "throttling", "429 errors", "backoff"
              Returns ranked list of IDs
                  │
                  ▼
         Reciprocal Rank Fusion (RRF)
         ─────────────────────────────
         score(item) = Σ  1 / (60 + rank_i)
                        i ∈ {keyword_rank, vector_rank}

         Items in BOTH result sets are boosted.
         Items in only one set still contribute.
         Top N returned, then filtered by source/participant/date.

Why RRF? Rank-based fusion requires no score normalization across different scales. The constant k=60 is the standard default from the original paper and empirically outperforms weighted linear combinations.

Default embedding model: BAAI/bge-small-en-v1.5 via FastEmbed — 384-dimensional vectors, ~23 MB ONNX model, runs fully offline.

---

Configuration

memoreei setup (or the dashboard) writes config.env in the home directory and is the easy way. To edit it by hand, .env.example lists every setting. Settings are read from, in order of precedence:

1. the environment
2. a .env in the current directory (handy when developing memoreei itself)
3. config.env in memoreei's home directory

Core

Variable	Default	Description
MEMOREEI_HOME	~/Library/Application Support/Memoreei on macOS, ~/.memoreei elsewhere	Home directory, holding config.env and memoreei.db; --home overrides it
MEMOREEI_DB_PATH	$MEMOREEI_HOME/memoreei.db	SQLite database path
EMBEDDING_PROVIDER	fastembed	fastembed (local ONNX, no API key) or openai
OPENAI_API_KEY	—	Required only if EMBEDDING_PROVIDER=openai
AUTO_SYNC	false	Run sync in the background while the server runs
AUTO_SYNC_INTERVAL	300	Background sync interval in seconds

Network server

Variable	Default	Description
MEMOREEI_HOST	0.0.0.0	Address serve --http binds to
MEMOREEI_PORT	3679	Port serve --http listens on
MEMOREEI_PUBLIC_URL	—	The URL clients use, e.g. behind a reverse proxy. Only used to print client config
MEMOREEI_TLS_CERT	—	TLS certificate (PEM), to serve HTTPS directly
MEMOREEI_TLS_KEY	—	TLS private key (PEM)
MEMOREEI_ADMIN_REMOTE	false	Let the dashboard answer other machines, not just this one. The Docker image sets it, since a container's loopback isn't the host's

API keys aren't settings: they live, hashed, in the database. See memoreei key.

Discord

Variable	Description
DISCORD_BOT_TOKEN	Bot token from Discord Developer Portal
DISCORD_CHANNEL_ID	Default channel ID for sync_discord

Telegram

Variable	Description
TELEGRAM_BOT_TOKEN	Bot token from @BotFather
TELEGRAM_CHAT_ID	Default chat ID (positive = DM, negative = group)

Matrix

Variable	Description
MATRIX_HOMESERVER	Homeserver URL, e.g. https://matrix.org
MATRIX_ACCESS_TOKEN	User access token
MATRIX_ROOM_ID	Default room ID, e.g. !abc123:matrix.org

Slack

Variable	Description
SLACK_BOT_TOKEN	Bot token (xoxb-...), requires channels:history + users:read
SLACK_CHANNEL_ID	Default channel ID, e.g. C1234567890

Gmail

Variable	Description
GMAIL_EMAIL	Gmail address
GMAIL_APP_PASSWORD	App Password (required if 2FA enabled)

Mastodon

Variable	Default	Description
MASTODON_INSTANCE	https://mastodon.social	Instance URL
MASTODON_HASHTAG	—	Default hashtag (without #)
MASTODON_ACCESS_TOKEN	—	OAuth token (optional, for home timeline)

iMessage (macOS only)

Variable	Default	Description
IMESSAGE_DB_PATH	~/Library/Messages/chat.db	Override path to chat.db

Signal Desktop

Variable	Description
SIGNAL_DB_PATH	Override path to Signal's db.sqlite
SIGNAL_CONFIG_PATH	Override path to Signal's config.json

---

Privacy

Local-first by design.

• All data stored in a single SQLite file on your machine
• Default embedding model (FastEmbed) runs entirely offline via ONNX — zero network calls
• OpenAI embeddings are strictly opt-in (EMBEDDING_PROVIDER=openai)
• No telemetry, no analytics, no cloud sync
• Your messages never leave your machine in the default configuration
• The network server is off unless you start it, never runs without an API key, and stores only hashes of its keys. Over the network it can search what is stored, not add to it or read files

What requires network access:

• Live sync connectors (Discord, Telegram, Slack, Matrix, Gmail, Mastodon) make outbound API calls to those services
• EMBEDDING_PROVIDER=openai sends message text to OpenAI's API for embedding

The home directory is created readable only by you, and config.env is written mode 600.

---

Docker

The image keeps everything in /data (MEMOREEI_HOME=/data) and runs the network server on port 3679. Make a key first, or use the dashboard:

docker compose run --rm memoreei setup              # optional: connectors, into ./data/config.env
docker compose run --rm memoreei key create laptop
docker compose up -d
docker compose run --rm memoreei admin-url          # a sign-in link for the dashboard

The dashboard answers other machines in Docker (MEMOREEI_ADMIN_REMOTE=true), because the container's loopback isn't the host's. It still needs the one-time link. Don't publish port 3679 beyond your own network.

Inside a container memoreei can't see the host's addresses, so set MEMOREEI_PUBLIC_URL in docker-compose.yml to the URL clients will use; key create then prints config with that URL in it.

---

Contributing

See CONTRIBUTING.md for guidelines on adding new connectors, running tests, and submitting pull requests.

---

License

MIT