Proworkbench pricing guide details
Pricing Overview
ProWorkbench sells one thing, once. Standard Edition covers a single seat and costs $49.99 as a one-time purchase, with the same $49.99 price on the Windows, macOS and Linux standalone builds. A license key works on any platform you own, so a developer moving between a Linux workstation and a Mac laptop buys one license rather than two.
Buying is deliberately short: you get an instant download for your platform and a key by email, with no account to create and no waiting list. A 30-day money-back guarantee covers the purchase. There is no subscription, no seat renewal and no hosted service behind it, which is the direct consequence of the product being local-first — there is no ProWorkbench server to run, so there is nothing to bill you for monthly.
That structure is unusual in this category and it is the main thing to weigh. Almost every comparable AI agent platform bills per month, per workspace or per execution, and the number moves with how much you use it. Here it does not move at all.
Plan Comparison
There is one edition, so there is nothing to compare internally. The store lists three products and they are the same edition packaged for three operating systems.
| Product | Seats | Price | Billing |
|---|---|---|---|
| Windows Standalone — Standard Edition | 1 | $49.99 | One-time |
| macOS Standalone — Standard Edition | 1 | $49.99 | One-time |
| Linux Standalone — Standard Edition | 1 | $49.99 | One-time |
Every build includes the same capabilities: the approvals system that puts a prompt in front of every tool call, the tool governance surface that shows what is loaded and where it came from, the MCP server manager, the doctor checks that verify your environment and backend connection, and local SQLite storage for conversations, tool calls and history.
What you will not find is a tier that unlocks a feature. There is no higher-priced edition with SSO, no team plan with shared state, and no enterprise arrangement listed publicly. For a team of five, the arithmetic is five licenses.
Hidden Costs and Considerations
The license is not the whole cost, and the vendor is clear about why: ProWorkbench is the workbench, not the model. You bring your own OpenAI-compatible backend, and whoever provides it bills you separately.
That splits into two shapes. If you point it at a hosted API — OpenAI, or Anthropic through a proxy — your cost is per token and tracks usage exactly as it would from any other client. If you point it at a local runtime such as Ollama, LM Studio, vLLM or llama.cpp, inference is free at the margin and the cost moves into hardware: a GPU large enough for the models you intend to run, and the electricity to keep it busy. Neither is a ProWorkbench charge, and both will exceed $49.99 within the first month of serious use.
The third cost is time. MCP servers, tool permissions and prompts are yours to configure, and the governance surface makes that work visible rather than automatic. Budget an afternoon for the first setup and periodic attention after that, in the same way you would for any developer tooling you own rather than rent.
Cost Estimates by Team Size
Because the license is one-time and per seat, the estimate is a multiplication rather than a forecast. The figures below are license cost only; the backend and any hardware sit on top and depend entirely on which models you run.
| Team size | Licenses | One-time license cost | Recurring license cost |
|---|---|---|---|
| 1 developer | 1 | $49.99 | $0 |
| 5 developers | 5 | 5 x $49.99 | $0 |
| 10 developers | 10 | 10 x $49.99 | $0 |
| 25 developers | 25 | 25 x $49.99 | $0 |
The right-hand column is the point. A subscription platform at $59 per month costs a ten-person team more in the first quarter than these licenses cost outright, and keeps costing it. Against that, a one-time purchase buys the version you bought: there is no published upgrade pricing, so treat a future major version as a separate decision rather than an assumed inclusion.
How Proworkbench Pricing Compares
The agent platforms it is usually weighed against all bill recurrently, and most of them meter usage as well.
| Tool | Model | Entry price | What the meter counts |
|---|---|---|---|
| ProWorkbench | One-time license | $49.99 | Nothing — the license does not meter |
| Dify | Open source + cloud | $0 self-hosted, $59/month Professional | Message credits, members, apps, storage |
| Flowise | Open source + cloud | $0 self-hosted, $35/month Starter | Predictions and storage |
| CrewAI | Freemium | $0 for 50 executions/month | Executions, at $0.50 each beyond the free tier |
Two distinctions matter more than the entry prices. The first is what happens as usage grows: Dify's Professional plan is $59/month per workspace before message credits are exhausted, Flowise Starter is $35/month for 10,000 predictions, and CrewAI charges $0.50 per execution past its free 50 — while ProWorkbench charges nothing further whatever you run, because your backend is doing the work.
The second is where the data goes. Dify, Flowise and CrewAI all offer a self-hosted path, so local execution is not unique to ProWorkbench; what is unusual is that local execution is the only mode, with no hosted alternative and no account on the vendor's side. If a subscription is acceptable and you want a managed service, the alternatives are cheaper to start and more convenient. If you want a tool you buy once, run yourself, and point at your own models, this is the one priced for it.