elie222/inbox-zero

inbox-zero

The world's best AI personal assistant for email. Open source app to help you reach inbox zero fast.

RepositoryHomepage
37/100
Stars11,457
Forks1,411
LanguageTypeScript

Usage guide

inbox-zero is an open-source project around email, gmail, loops with 11,457 GitHub stars. This guide focuses on when to use it, how to install it, how to run the first example, and what to verify before adopting it.

No repository license detectedCommercial permission unconfirmed

Key features

  • Implemented mainly in TypeScript, useful for judging integration effort in a similar stack.
  • GitHub did not detect a repository license, so commercial permission is unconfirmed. Review the repository terms and any model weights, datasets, dependencies, or external services before commercial adoption.
  • The project has a homepage, so cross-check docs, examples, and release information beyond GitHub.

Best for

  • Evaluating inbox-zero for TypeScript AI workflows.
  • Comparing a GitHub project with 11,457 stars and current repository activity.

Pros

  • inbox-zero has visible GitHub traction with 11,457 stars. Topics: ai, email, gmail.
  • The project provides an external homepage for deeper evaluation.

Cons

  • Production fit still depends on documentation depth, issue activity, and release cadence.
  • No license was detected, so usage risk needs manual review.

Production readiness

inbox-zero should be validated with its README, release history, open issues, and integration requirements before production use.

License risk

GitHub did not report a license, which usually requires manual legal review before production use.

inbox-zero architecture preview

inbox-zero's main path starts at the entry surface, runs through Agent orchestration runtime, combines OpenAI, PostgreSQL, GitHub / Slack / Discord / Telegram, and returns Assistant response / action result.

Entry

CLI / terminal entry

inbox-zero is primarily entered through a developer command or terminal workflow.

npx @inbox-zero/cli setup

Runtime

Agent orchestration runtime

The orchestration layer plans tasks, calls tools, manages context, and decides the next action.

agent workflow

Runtime dependencies

Model

OpenAI

Model calls are likely routed through OpenAI based on README and topic signals.

OpenAI

Context

PostgreSQL

Context comes from PostgreSQL, which constrains what the model or runtime can use.

PostgreSQL

Tools

GitHub / Slack / Discord / Telegram

Tool adapters let the runtime act outside the model through GitHub / Slack / Discord / Telegram.

GitHub, Slack, Discord, Telegram

Output

Assistant response / action result

The final result is a response, action, or task completion returned through the active channel.

assistant output

Install tutorial

Before you install

  • Node.js and the package manager used by the project
  • Docker Engine with enough disk space for images and volumes
  • A clean working directory for the first test run
1
Step 1

Check the runtime environment

inbox-zero has Docker in the setup path. Confirm Docker Engine works and reserve enough disk space for images and volumes.

2
Step 2

Get the project files

Start from the official repository or package so the first run matches the documented behavior.

terminal
$ git clone https://github.com/elie222/inbox-zero.git
3
Step 3

Install or build dependencies

Run the next setup command detected from the project documentation.

terminal
$ npx @inbox-zero/cli setup

Adoption guidance and sources

Practical use cases

The world's best AI personal assistant for email. Open source app to h

This is one of the documented reasons to evaluate inbox-zero before choosing a stack.

Focus area: ai

This is one of the documented reasons to evaluate inbox-zero before choosing a stack.

All project comparison

Compare inbox-zero with similar projects before committing to a stack.

Before adopting

  • Complete one clean-environment verification using the official inbox-zero setup path.
  • Review repository license, model weights, external services, and dependency terms for your use case.
  • Check recent commits, release cadence, issue response, and documentation depth.
  • Evaluate output quality, latency, resource usage, and recovery behavior with a small dataset.

Configuration notes

  • Check exposed ports, mounted volumes, and environment variables before running the container in a shared environment.

Sources checked

These links are used to verify repository, documentation, or tutorial details. Review the source pages before adopting the project.

Troubleshooting

  • If installation fails, first confirm the command is being run from the README-specified directory.
  • If dependencies conflict, retry in a fresh virtual environment, container, or working directory.
  • If output looks wrong, return to the smallest documented inbox-zero example before adding complex data.
  • For keys, model files, or external services, verify environment variables, local paths, and permissions one by one.
  • Before production use, review recent updates, open issues, license terms, and safety boundaries.
What is inbox-zero?

inbox-zero is an open-source all project. The world's best AI personal assistant for email. Open source app to help you reach inbox zero fast.

How do I install inbox-zero?

Start with the official README. The first detected setup step is: git clone https://github.com/elie222/inbox-zero.git.

Is inbox-zero beginner-friendly?

If you already know the TypeScript ecosystem, start with the smallest example. Otherwise test it in an isolated environment first.

Can inbox-zero be used commercially?

GitHub did not detect a repository license, so commercial permission is unconfirmed. Review the repository terms and any model weights, datasets, dependencies, or external services before commercial adoption.

Does inbox-zero need a GPU?

GPU requirements depend on the workload, model, and dataset size. Start with the smallest README example before scaling up.

How should I decide whether to adopt inbox-zero?

Evaluate setup cost, maintenance activity, issue health, license terms, and fit with your real workflow.

Star trend

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