Xiaobei: review, pricing, security and alternatives

What Xiaobei does

Xiaobei belongs to the business agents family: agents specialised in one job: customer support, sales, finance, legal, HR, security. On our grid it ranks #27 of the 52 projects of this family listed in the directory.

Who is Xiaobei for?

It targets a specific job (customer support, sales, finance, legal…) with workflows already set up. Typical tasks people give it:

• handle first-line customer requests
• prepare standard documents
• track cases and follow up

Access and human control

Its documentation does not detail the access granted to the agent: check the settings before connecting it to your accounts.

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

Xiaobei pricing

The code is public but the repository declares no licence: reuse is not formally allowed. The real cost comes from model calls: each loop step sends the whole context back to the model, and a task of several dozen steps can cost far more than a single question. The LLM price calculator estimates it for the chosen model.

Getting started with Xiaobei

1. Install it: the project ships as a Python package (install with pip or uv). 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 business agent acts on the company's behalf: define what it may promise, refund or change, and keep a record of its decisions.

Points found for Xiaobei:

• No licence: legally shaky for company use.

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 April 24, 2024, the TeamWiseFlow/xiaobei repository has 8,639 stars, 1,469 forks and 0 open issues, with 953 commits in total. It received changes this month.

Over the last 52 weeks: 683 commits, an average of 13.1 per week.

52 releases in total; 30 in the last twelve months. Latest release: v5.7.4, on October 16, 2026.

Xiaobei vs other business agents

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

Xiaobei and other business agents 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: 58/100, computed only from public, verifiable data, with no subjective testing or partnership:

• Adoption 23/40: 8,639 stars on a log scale (40 points from about 200,000).
• Activity 30/30: last commit less than a month ago, 18 releases in six months, 683 commits in a year.
• Framework 5/30: 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.