easy-stock: review, pricing, security and alternatives

What easy-stock does

easy-stock belongs to the business agents family: agents specialised in one job: customer support, sales, finance, legal, HR, security. On our grid it ranks #37 of the 52 projects of this family listed in the directory.

You use it from: desktop app. It can run on your own machine or server.

Who is easy-stock 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

It is a good candidate if your data must stay on your machines.

Access and human control

According to its documentation, easy-stock can:

• call online services and APIs
• read and edit files
• 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.

easy-stock 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 easy-stock

1. Install it: the project ships as a single Go binary, downloadable from the repository releases. 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 easy-stock:

• Trifecta: access to private data, reading outside content and sending messages. That combination makes data leaks through prompt injection possible.
• 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 August 7, 2026, the jundizhou/easy-stock repository has 1,605 stars, 166 forks and 8 open issues, with 255 commits in total. It received changes this month.

Over the last 52 weeks: 244 commits, an average of 4.7 per week.

30 releases in total; 30 in the last twelve months. Latest release: v1.6.0, on October 23, 2026.

easy-stock 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.

easy-stock 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: 52/100, computed only from public, verifiable data, with no subjective testing or partnership:

• Adoption 14/40: 1,605 stars on a log scale (40 points from about 200,000).
• Activity 28/30: last commit less than a month ago, 30 releases in six months, 244 commits in a year.
• Framework 10/30: 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.