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Personal assistants · AI agent

DeepBot: review, pricing, security and alternatives

DeepBot is an open-source AI agent published by kevinluosl, in the personal assistants family. DeepBot is a system-level AI assistant for personal productivity and enterprise workflows, with native Feishu integration. Its repository has 2,490 stars and its last commit is from May 23, 2026.

Open sourceLast commit 5 months agoModerate risk

What DeepBot does

DeepBot 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 #40 of the 46 projects of this family listed in the directory.

You use it from: messaging (Telegram, Slack, WhatsApp…).

Who is DeepBot 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.

Access and human control

According to its documentation, DeepBot can:

  • read and send messages

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

Run commands in a terminalRun commands in a terminal : 22 %22 %Read and edit filesRead and edit files : 28 %28 %Drive a web browserDrive a web browser : 26 %26 %Call online services and APIsCall online services and APIs : 17 %17 %Read and send messagesRead and send messages : 35 %35 %Make paymentsMake payments : 2 %2 %Control the screen, keyboard and mControl the screen, keyboard and m : 15 %15 %
Share of the 46 agents in the family that have each access, according to their documentation. In orange, DeepBot's access.

DeepBot pricing

The code is free, under the MIT licence.

Getting started with DeepBot

  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.

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 January 30, 2026, the kevinluosl/deepbot repository has 2,490 stars, 166 forks and 1 open issues, with 484 commits in total. Last change 5 months ago.

Over the last 52 weeks: 482 commits, an average of 9.3 per week.

Nov 2, : 0 · Nov 2, 2025Nov 2,Nov 9, : 0 · Nov 9, 2025Nov 16, : 0 · Nov 16, 2025Nov 23, : 0 · Nov 23, 2025Nov 30, : 0 · Nov 30, 2025Dec 7, : 0 · Dec 7, 2025Dec 14, : 0 · Dec 14, 2025Dec 21, : 0 · Dec 21, 2025Dec 28, : 0 · Dec 28, 2025Dec 28,Jan 4, : 0 · Jan 4, 2026Jan 11, : 0 · Jan 11, 2026Jan 18, : 0 · Jan 18, 2026Jan 25, : 0 · Jan 25, 2026Feb 1, : 0 · Feb 1, 2026Feb 8, : 0 · Feb 8, 2026Feb 15, : 0 · Feb 15, 2026Feb 22, : 0 · Feb 22, 2026Feb 22,Mar 1, : 37 · Mar 1, 2026Mar 8, : 59 · Mar 8, 2026Mar 15, : 53 · Mar 15, 2026Mar 22, : 83 · Mar 22, 2026Mar 29, : 56 · Mar 29, 2026Apr 5, : 17 · Apr 5, 2026Apr 12, : 18 · Apr 12, 2026Apr 19, : 22 · Apr 19, 2026Apr 19,Apr 26, : 46 · Apr 26, 2026May 3, : 18 · May 3, 2026May 10, : 36 · May 10, 2026May 17, : 13 · May 17, 2026May 24, : 24 · May 24, 2026May 31, : 0 · May 31, 2026Jun 7, : 0 · Jun 7, 2026Jun 14, : 0 · Jun 14, 2026Jun 14,Jun 21, : 0 · Jun 21, 2026Jun 28, : 0 · Jun 28, 2026Jul 5, : 0 · Jul 5, 2026Jul 12, : 0 · Jul 12, 2026Jul 19, : 0 · Jul 19, 2026Jul 26, : 0 · Jul 26, 2026Aug 2, : 0 · Aug 2, 2026Aug 9, : 0 · Aug 9, 2026Aug 9,Aug 16, : 0 · Aug 16, 2026Aug 23, : 0 · Aug 23, 2026Aug 30, : 0 · Aug 30, 2026Sep 6, : 0 · Sep 6, 2026Sep 13, : 0 · Sep 13, 2026Sep 20, : 0 · Sep 20, 2026Sep 27, : 0 · Sep 27, 2026Oct 4, : 0 · Oct 4, 2026Oct 4,Oct 11, : 0 · Oct 11, 2026Oct 18, : 0 · Oct 18, 2026Oct 25, : 0 · Oct 25, 2026Oct 25,
Commits per week on the main repository, last 52 weeks (GitHub API, checked October 25, 2026).

1 releases in total; 1 in the last twelve months. Latest release: v0.7.2, on May 7, 2026.

DeepBot 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.

OpenClawOpenClaw : 392.9K392.9KHermes AgentHermes Agent : 256.7K256.7Knanobotnanobot : 49.3K49.3KCowAgentCowAgent : 47.6K47.6KQwenPawQwenPaw : 36K36KZeroClawZeroClaw : 33K33KOpenHumanOpenHuman : 42.3K42.3KNanoClawNanoClaw : 31K31KDeepBotDeepBot : 2.5K2.5K
Log scale; DeepBot in orange. Checked October 25, 2026.

DeepBot 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.

Quick comparison: personal assistants
AgentModelScoreStars or entry priceSelf-hostableHuman approval
DeepBotopen source472.5K ★––
OpenClawopen source95392.9K ★yes–
Hermes Agentopen source90256.7K ★yes–
nanobotopen source8749.3K ★yes–
CowAgentopen source8747.6K ★yes–
QwenPawopen source8636K ★yes–
ZeroClawopen source8533K ★yes–
OpenHumanopen source8242.3K ★yes–

How we rated it

Score: 47/100, computed only from public, verifiable data, with no subjective testing or partnership:

  • Adoption 17/40: 2,490 stars on a log scale (40 points from about 200,000).
  • Activity 15/30: last commit 5 months ago, 1 release in six months, 482 commits in a year.
  • Framework 15/30: 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.

Verdict

DeepBot is a project to watch: compare it with the alternatives before adopting it.

Strengths

  • Permissive licence (MIT)

Avoid if…

  • It would access personal or bank accounts unattended

Frequently asked questions

Is DeepBot free?

The software is free (MIT licence). You still pay for the model calls, unless you use a local model.

Is DeepBot safe?

Our risk level: mid. Give it minimum rights and approve irreversible actions.

Which models does DeepBot use?

Its documentation does not specify the supported models.

Can DeepBot be installed on your own server?

This is not clearly documented: check with the vendor.

What are the alternatives to DeepBot?

In the same family: OpenClaw, Hermes Agent, nanobot, and CowAgent.

DeepBot or OpenClaw: what is the difference?

Both belong to the personal assistants family. DeepBot has 2.5K stars against 392.9K for OpenClaw. The right choice mostly depends on the access you are willing to give it.

Related articles

Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score