LobsterAI: review, pricing, security and alternatives

What LobsterAI does

LobsterAI belongs to the personal assistants family: general-purpose agents, often self-hosted and driven from a messaging app, that act for you on your files, accounts and services. On our grid it ranks #19 of the 46 projects of this family listed in the directory.

You use it from: desktop app and messaging (Telegram, Slack, WhatsApp…). It can run on your own machine or server.

Who is LobsterAI for?

It targets individuals and freelancers who want an assistant able to act for them day to day, often from a messaging app. Typical tasks people give it:

• sort e-mail and draft replies
• manage a calendar and reminders
• look up information and summarise it
• run small recurring tasks

It is a good candidate if you want to talk to it from your usual messaging app, without opening another app and your data must stay on your machines.

Access and human control

According to its documentation, LobsterAI can:

• control the screen, keyboard and mouse
• read and edit files
• read and send messages
• drive a web browser

We could not establish whether it asks for human approval before sensitive actions: test it first on an unimportant account or folder.

LobsterAI pricing

The code is free, under the MIT licence.

Getting started with LobsterAI

1. Install it: the project ships as a Node.js package (install with npm, or run directly with npx). The exact command is in the repository README.
2. Create an API key with the model provider and put it in an environment variable, never in a shared or versioned file.
3. Give it a first playground with nothing at stake: a test folder, a secondary account or a throwaway project. Only open your real accounts once you have seen how it behaves.
4. Give it a short, checkable task, review the result and its action log, then raise the difficulty step by step.

Security: risk level

A personal assistant often combines access to private data, reading outside content and sending messages: the combination that enables data leaks through prompt injection.

Points found for LobsterAI:

• Sensitive access: it can control the screen, keyboard and mouse, with no established default human approval.
• Trifecta: access to private data, reading outside content and sending messages. That combination makes data leaks through prompt injection possible.

Three habits: least privilege (minimal rights, dedicated keys), human approval for irreversible actions, a sandbox for code execution. The AI agent security check reviews your setup in a few minutes.

Project activity and releases

Created on February 12, 2026, the netease-youdao/LobsterAI repository has 6,144 stars, 978 forks and 149 open issues, with 4,599 commits in total. It received changes this month.

Over the last 52 weeks: 2,771 commits, an average of 53.3 per week.

80 releases in total; 30 in the last twelve months. Latest release: 2026.10.23, on October 23, 2026.

LobsterAI vs other personal assistants

GitHub stars of the best-rated open-source projects in the personal assistants family. Stars measure attention, not quality: a heavily promoted project collects them fast, a specialised tool will have few.

LobsterAI and other personal assistants at a glance

The 7 best-ranked agents in the same family, 7 of them open source. The score out of 100 only applies to open-source projects; for proprietary services we show the published entry price. A dash marks information the documentation does not state.

How we rated it

Score: 71/100, computed only from public, verifiable data, with no subjective testing or partnership:

• Adoption 21/40: 6,144 stars on a log scale (40 points from about 200,000).
• Activity 30/30: last commit less than a month ago, 30 releases in six months, 2,771 commits in a year.
• Framework 20/30: licence, default human approval, self-hosting, model choice and documentation site.

The score does not say whether the agent will succeed at your tasks: it measures how solid the project is. The full grid is on the method page.