inbox-zero

AI personal assistant for email. Open source app to help you reach inbox zero fast.

Stars: 5105

Visit

Inbox Zero is an open-source email app that helps you reach inbox zero fast with AI assistance. It offers various features such as a newsletter cleaner, AI assistant for auto-responding, archiving, labeling, and forwarding emails, a cold email blocker, email analytics, tracking of new senders and unreplied emails, and a large email finder to free up space. Inbox Zero is built with Next.js, Tailwind CSS, Prisma, Tinybird, Upstash, and Turbo.

README:

Inbox Zero - Your AI Email Assistant

Open source email app to reach inbox zero fast.
Website · Discord · Issues

About

There are two parts to Inbox Zero:

An AI email assistant that helps you spend less time on email.
Open source AI email client.

If you're looking to contribue to the project, the email client is the best place to do this.

Thanks to Vercel for sponsoring Inbox Zero in support of open-source software.

Features

AI Personal Assistant: Manages your email for you based on a plain text prompt file. It can take any action a human assistant can take on your behalf (Draft reply, Label, Archive, Reply, Forward, Mark Spam, and even call a webhook).
Reply Zero: Track emails that need your reply and those awaiting responses.
Smart Categories: Categorize everyone that's ever emailed you.
Bulk Unsubscriber: Quickly unsubscribe from emails you never read in one-click.
Cold Email Blocker: Automatically block cold emails.
Email Analytics: Track your email activity with daily, weekly, and monthly stats.

Learn more in our docs.

Feature Screenshots


AI Assistant	Reply Zero

Gmail client	Bulk Unsubscriber

Demo Video

Built with

Feature Requests

To request a feature open a GitHub issue. If you don't have a GitHub account you can request features here. Or join our Discord.

Getting Started for Developers

We offer a hosted version of Inbox Zero at https://getinboxzero.com. To self-host follow the steps below.

Contributing to the project

You can view open tasks in our GitHub Issues. Join our Discord to discuss tasks and check what's being worked on.

ARCHITECTURE.md explains the architecture of the project (LLM generated).

Requirements

Node.js >= 18.0.0
pnpm >= 8.6.12
Docker desktop (optional)

Setup

Here's a video on how to set up the project. It covers the same steps mentioned in this document. But goes into greater detail on setting up the external services.

The external services that are required are:

Google OAuth
Google PubSub - see set up instructions below

You also need to set an LLM, but you can use a local one too:

Anthropic
OpenAI
AWS Bedrock Anthropic
Google Gemini
Groq Llama 3.3 70B
Ollama (local)

We use Postgres for the database. For Redis, you can use Upstash Redis or set up your own Redis instance.

You can run Postgres & Redis locally using docker-compose

docker-compose up -d # -d will run the services in the background

Create your own .env file:

cp apps/web/.env.example apps/web/.env
cd apps/web
pnpm install

Set the environment variables in the newly created .env. You can see a list of required variables in: apps/web/env.ts.

The required environment variables:

NEXTAUTH_SECRET -- can be any random string (try using openssl rand -hex 32 for a quick secure random string)
GOOGLE_CLIENT_ID -- Google OAuth client ID. More info here
GOOGLE_CLIENT_SECRET -- Google OAuth client secret. More info here
GOOGLE_ENCRYPT_SECRET -- Secret key for encrypting OAuth tokens (try using openssl rand -hex 32 for a secure key)
GOOGLE_ENCRYPT_SALT -- Salt for encrypting OAuth tokens (try using openssl rand -hex 16 for a secure salt)
UPSTASH_REDIS_URL -- Redis URL from Upstash. (can be empty if you are using Docker Compose)
UPSTASH_REDIS_TOKEN -- Redis token from Upstash. (or specify your own random string if you are using Docker Compose)

When using Vercel with Fluid Compute turned off, you should set MAX_DURATION=300 or lower. See Vercel limits for different plans here.

To run the migrations:

pnpm prisma migrate dev

To run the app locally for development (slower):

pnpm run dev

Or from the project root:

turbo dev

To build and run the app locally in production mode (faster):

pnpm run build
pnpm start

Open http://localhost:3000 to view the app in your browser.

To upgrade yourself, make yourself an admin in the .env: [email protected] Then upgrade yourself at: http://localhost:3000/admin.

Supported LLMs

For the LLM, you can use Anthropic, OpenAI, or Anthropic on AWS Bedrock. You can also use Ollama by setting the following enviroment variables:

OLLAMA_BASE_URL=http://localhost:11434/api
NEXT_PUBLIC_OLLAMA_MODEL=phi3

Note: If you need to access Ollama hosted locally and the application is running on Docker setup, you can use http://host.docker.internal:11434/api as the base URL. You might also need to set OLLAMA_HOST to 0.0.0.0 in the Ollama configuration file.

You can select the model you wish to use in the app on the /settings page of the app.

Setting up Google OAuth and Gmail API

You need to enable these scopes in the Google Cloud Console:

https://www.googleapis.com/auth/userinfo.profile
https://www.googleapis.com/auth/userinfo.email
https://www.googleapis.com/auth/gmail.modify
https://www.googleapis.com/auth/gmail.settings.basic
https://www.googleapis.com/auth/contacts

Set up push notifications via Google PubSub to handle emails in real time

Follow instructions here.

Set env var GOOGLE_PUBSUB_TOPIC_NAME. When creating the subscription select Push and the url should look something like: https://www.getinboxzero.com/api/google/webhook?token=TOKEN or https://abc.ngrok-free.app/api/google/webhook?token=TOKEN where the domain is your domain. Set GOOGLE_PUBSUB_VERIFICATION_TOKEN in your .env file to be the value of TOKEN.

To run in development ngrok can be helpful:

ngrok http 3000
# or with an ngrok domain to keep your endpoint stable (set `XYZ`):
ngrok http --domain=XYZ.ngrok-free.app 3000

And then update the webhook endpoint in the Google PubSub subscriptions dashboard.

To start watching emails visit: /api/google/watch/all

Watching for email updates

Set a cron job to run these: The Google watch is necessary. The Resend one is optional.

  "crons": [
    {
      "path": "/api/google/watch/all",
      "schedule": "0 1 * * *"
    },
    {
      "path": "/api/resend/summary/all",
      "schedule": "0 16 * * 1"
    }
  ]

Here are some easy ways to run cron jobs. Upstash is a free, easy option. I could never get the Vercel vercel.json. Open to PRs if you find a fix for that.

For Tasks:

Click tags to check more tools for each tasks

manage newsletters block cold emails track email activity find large emails identify new spam senders

For Jobs:

email manager email organizer email productivity assistant email spam blocker email analytics specialist

Alternative AI tools for inbox-zero

Similar Open Source Tools

inbox-zero

github

: 5.1k

agnai

Agnaistic is an AI roleplay chat tool that allows users to interact with personalized characters using their favorite AI services. It supports multiple AI services, persona schema formats, and features such as group conversations, user authentication, and memory/lore books. Agnaistic can be self-hosted or run using Docker, and it provides a range of customization options through its settings.json file. The tool is designed to be user-friendly and accessible, making it suitable for both casual users and developers.

github

: 576

gitingest

GitIngest is a tool that allows users to turn any Git repository into a prompt-friendly text ingest for LLMs. It provides easy code context by generating a text digest from a git repository URL or directory. The tool offers smart formatting for optimized output format for LLM prompts and provides statistics about file and directory structure, size of the extract, and token count. GitIngest can be used as a CLI tool on Linux and as a Python package for code integration. The tool is built using Tailwind CSS for frontend, FastAPI for backend framework, tiktoken for token estimation, and apianalytics.dev for simple analytics. Users can self-host GitIngest by building the Docker image and running the container. Contributions to the project are welcome, and the tool aims to be beginner-friendly for first-time contributors with a simple Python and HTML codebase.

github

: 7.9k

chatgpt-vscode

ChatGPT-VSCode is a Visual Studio Code integration that allows users to prompt OpenAI's GPT-4, GPT-3.5, GPT-3, and Codex models within the editor. It offers features like using improved models via OpenAI API Key, Azure OpenAI Service deployments, generating commit messages, storing conversation history, explaining and suggesting fixes for compile-time errors, viewing code differences, and more. Users can customize prompts, quick fix problems, save conversations, and export conversation history. The extension is designed to enhance developer experience by providing AI-powered assistance directly within VS Code.

github

: 1.2k

code2prompt

code2prompt is a command-line tool that converts your codebase into a single LLM prompt with a source tree, prompt templating, and token counting. It automates generating LLM prompts from codebases of any size, customizing prompt generation with Handlebars templates, respecting .gitignore, filtering and excluding files using glob patterns, displaying token count, including Git diff output, copying prompt to clipboard, saving prompt to an output file, excluding files and folders, adding line numbers to source code blocks, and more. It helps streamline the process of creating LLM prompts for code analysis, generation, and other tasks.

github

: 5.1k

sandbox

Sandbox is an open-source cloud-based code editing environment with custom AI code autocompletion and real-time collaboration. It consists of a frontend built with Next.js, TailwindCSS, Shadcn UI, Clerk, Monaco, and Liveblocks, and a backend with Express, Socket.io, Cloudflare Workers, D1 database, R2 storage, Workers AI, and Drizzle ORM. The backend includes microservices for database, storage, and AI functionalities. Users can run the project locally by setting up environment variables and deploying the containers. Contributions are welcome following the commit convention and structure provided in the repository.

github

: 1.1k

atidraw

Atidraw is a web application that allows users to create, enhance, and share drawings using Cloudflare R2 and Cloudflare AI. It features intuitive drawing with signature_pad, AI-powered enhancements such as alt text generation and image generation with Stable Diffusion, global storage on Cloudflare R2, flexible authentication options, and high-performance server-side rendering on Cloudflare Pages. Users can deploy Atidraw with zero configuration on their Cloudflare account using NuxtHub.

github

: 159

gemini-pro-bot

This Python Telegram bot utilizes Google's `gemini-pro` LLM API to generate creative text formats based on user input. It's designed to be an engaging and interactive way to explore the capabilities of large language models. Key features include generating various text formats like poems, code, scripts, and musical pieces. The bot supports real-time streaming of the generation process, allowing users to witness the text unfold. Additionally, it can respond to messages with Bard's creative output and handle image-based inputs for multimodal responses. User authentication is optional, and the bot can be easily integrated with Docker or installed via pipenv.

github

: 130

airo

Airo is a tool designed to simplify the process of deploying containers to self-hosted servers. It allows users to focus on building their products without the complexity of Kubernetes or CI/CD pipelines. With Airo, users can easily build and push Docker images, deploy instantly with a single command, update configurations securely using SSH, and set up HTTPS and reverse proxy automatically using Caddy.

github

: 368

shortest

Shortest is a project for local development that helps set up environment variables and services for a web application. It provides a guide for setting up Node.js and pnpm dependencies, configuring services like Clerk, Vercel Postgres, Anthropic, Stripe, and GitHub OAuth, and running the application and tests locally.

github

: 162

ai-starter-kit

SambaNova AI Starter Kits is a collection of open-source examples and guides designed to facilitate the deployment of AI-driven use cases for developers and enterprises. The kits cover various categories such as Data Ingestion & Preparation, Model Development & Optimization, Intelligent Information Retrieval, and Advanced AI Capabilities. Users can obtain a free API key using SambaNova Cloud or deploy models using SambaStudio. Most examples are written in Python but can be applied to any programming language. The kits provide resources for tasks like text extraction, fine-tuning embeddings, prompt engineering, question-answering, image search, post-call analysis, and more.

github

: 215

log10

Log10 is a one-line Python integration to manage your LLM data. It helps you log both closed and open-source LLM calls, compare and identify the best models and prompts, store feedback for fine-tuning, collect performance metrics such as latency and usage, and perform analytics and monitor compliance for LLM powered applications. Log10 offers various integration methods, including a python LLM library wrapper, the Log10 LLM abstraction, and callbacks, to facilitate its use in both existing production environments and new projects. Pick the one that works best for you. Log10 also provides a copilot that can help you with suggestions on how to optimize your prompt, and a feedback feature that allows you to add feedback to your completions. Additionally, Log10 provides prompt provenance, session tracking and call stack functionality to help debug prompt chains. With Log10, you can use your data and feedback from users to fine-tune custom models with RLHF, and build and deploy more reliable, accurate and efficient self-hosted models. Log10 also supports collaboration, allowing you to create flexible groups to share and collaborate over all of the above features.

github

: 96

vasttools

This repository contains a collection of tools that can be used with vastai. The tools are free to use, modify and distribute. If you find this useful and wish to donate your welcome to send your donations to the following wallets. BTC 15qkQSYXP2BvpqJkbj2qsNFb6nd7FyVcou XMR 897VkA8sG6gh7yvrKrtvWningikPteojfSgGff3JAUs3cu7jxPDjhiAZRdcQSYPE2VGFVHAdirHqRZEpZsWyPiNK6XPQKAg RVN RSgWs9Co8nQeyPqQAAqHkHhc5ykXyoMDUp USDT(ETH ERC20) 0xa5955cf9fe7af53bcaa1d2404e2b17a1f28aac4f Paypal PayPal.Me/cryptolabsZA

github

: 124

opencharacter

OpenCharacter is an open-source tool that allows users to create and run characters locally with local models or use the hosted version. The stack includes Next.js for frontend, TailwindCSS for styling, Drizzle ORM for database access, NextAuth for authentication, Cloudflare D1 for serverless databases, Cloudflare Pages for hosting, and ShadcnUI as the component library. Users can integrate OpenCharacter with OpenRouter by configuring the OpenRouter API key. The tool is fully scalable, composable, and cost-effective, with powerful tools like Wrangler for database management and migrations. No environment variables are needed, making it easy to use and deploy.

github

: 104

PentestGPT

PentestGPT is a penetration testing tool empowered by ChatGPT, designed to automate the penetration testing process. It operates interactively to guide penetration testers in overall progress and specific operations. The tool supports solving easy to medium HackTheBox machines and other CTF challenges. Users can use PentestGPT to perform tasks like testing connections, using different reasoning models, discussing with the tool, searching on Google, and generating reports. It also supports local LLMs with custom parsers for advanced users.

github

: 8.0k

sage

Sage is a tool that allows users to chat with any codebase, providing a chat interface for code understanding and integration. It simplifies the process of learning how a codebase works by offering heavily documented answers sourced directly from the code. Users can set up Sage locally or on the cloud with minimal effort. The tool is designed to be easily customizable, allowing users to swap components of the pipeline and improve the algorithms powering code understanding and generation.

github

: 705

For similar tasks

inbox-zero

github

: 5.1k

For similar jobs

inbox-zero

github

: 5.1k