ChessOnGolem is an open source demonstration project for developers and curious hobbyists who want to see two AI programs play chess against each other over the Golem network. It was built as an entry to a Golem hackathon in December 2020. It sits in our crypto trading bots category because it shows how automated agents can connect to a decentralized computing backend, but it is not a tool for trading markets.
The project has not received code updates since March 2021, so treat it as a reference implementation rather than maintained software. Its MIT license makes the source freely reusable. The repository mentions Windows, Linux and Docker, but treat Windows support as something to test yourself. Read on for an overview, setup notes and the safety points that matter before you run anything from the repository.
What Is Golem and Why Does It Matter Here?
Golem is a decentralized computing network. In simple terms, people with spare computing power can offer it to others, and those who need processing can pay to use it instead of owning their own servers.
ChessOnGolem uses this model to handle its AI players. The example shows what an application looks like when part of its workload runs outside the developer's own machine. Understanding that idea makes the project's code easier to follow, even if you never plan to run a large workload yourself.
Why a Chess Demo Belongs in a Trading Bot Catalog
Trading bots and game-playing agents share a common structure. Each one observes a state, evaluates options and chooses an action in a repeated loop. A chess match makes that loop visible because every position and every move is easy to see and check.
This is why the project is useful for studying automation patterns. You can learn how decisions are passed between components without the financial risk that comes with live markets. The lesson transfers to other agent designs, but the demo itself does not trade anything.
Practical Use Cases for a Demo Like This
Developers often use small projects like this to learn a new platform before building something bigger. ChessOnGolem could serve as a starting point for testing how a frontend talks to a backend, or for experimenting with a different game engine.
Teachers and students may find it helpful for explaining multi-agent systems in a visual way. Because the MIT license allows modification, you can also adapt the code to a different board game or to a demonstration of your own design. Keep your experiments separate from any production systems.
Key features
Two AI players in one match
Golem backend integration
Open source under the MIT license
How to install ChessOnGolem on Windows
- 1
Get the source code
Open the project's GitHub repository and download the source code from there, or clone it with Git. Download only from the official website or the official GitHub repository, and avoid mirrors or links shared in chats or forums.
- 2
Verify the download
Check the SHA-256 checksum or signature if the project publishes one, and compare it carefully with the value you calculate locally. If nothing is published, review the license file and the commit history before you run any code from ChessOnGolem.
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Install and run
Follow the README in the repository to install dependencies and start the program. The last update was in 2021, so some tools may be out of date and you may need to resolve version conflicts yourself. Run the project in its own folder, away from system directories.
How to use ChessOnGolem
Once ChessOnGolem is installed, running a match is mostly a matter of starting the services and opening the interface. The steps below describe the general flow. Check the repository README for the exact commands and settings.
- Start the Golem backend component that your setup requires.
- Launch the React frontend and open it in your browser.
- Open the match view and start a game between the two AI players.
- Watch the moves and check the logs to see how each engine responds.
- Stop all processes when you finish, and note any errors so you can troubleshoot them later.
Pros & cons
- Free and released under the MIT license, so the code is fully open to read and modify
- Readable source that suits study and experimentation
- Demonstrates how an application can connect to the Golem network
- Lists Windows, Linux and Docker among its platforms
- No code updates since March 2021
- Windows support has not been verified, so test it before relying on it
- Not a trading tool and offers no market functionality
- Requires comfort with installing and running developer projects
Is ChessOnGolem safe?
Because the project has not been updated since 2021, treat it as an archived reference rather than a maintained application. Get the source only from the official GitHub repository, and check the SHA-256 checksum or signature when one is published. Review the code before running it, and run it in an isolated environment with no wallet files or exchange credentials stored nearby.
Never enter a seed phrase on third-party websites. A chess demo has no reason to ask for wallet keys, so treat any request for them as a warning sign. Keep your antivirus active, and if it flags something, investigate the file rather than turning protection off. Check the latest version on the official website before you start.
- Official source only. Download from github.com/broadcastmonkey/ChessOnGolem. Ignore ads and lookalike domains.
- Check the SHA-256. Compare the installer hash with the value the developer publishes before running it.
- Never share your seed phrase. No developer, support agent or website — including CryptApps — will ever ask for it.
Alternatives
ChessOnGolem differs from most entries in this category in its purpose. Gunbot, Moon Bot, ProfitTrailer, OctoBot and Jesse are built to run strategies against markets, while ChessOnGolem is a chess demonstration that uses a similar agent structure. TestMyLogic and Elinesoft XTester focus on checking strategies for overfitting and backtesting, which this project does not address. HaasOnline TradeServer is a professional platform for trading operations. If you want to study decentralized computing, ChessOnGolem is the closer fit. If you want to run a trading strategy, compare the alternatives instead.
Specifications
- Price
- Free
- Type
- Open source
- License
- MIT
- Latest version
- —
- Last update
- 29 Mar 2021
- Windows support
- Unverified (Windows mentioned in docs)
- Source code
- github.com/broadcastmonkey/ChessOnGolem
Frequently asked questions
No. Despite its category, ChessOnGolem is a chess demonstration in which two AI players compete through the Golem backend. It does not place trades or connect to trading accounts, so it is not suited to trading markets.
Yes. The project is free and released under the MIT license, which allows you to study, modify and reuse the code without paying the authors. Your own computing setup is the only cost you should expect to consider.
No. The last code update was in March 2021, so the project is effectively unmaintained. It remains useful as a reference, but expect outdated dependencies and possible compatibility issues on current systems.
The documentation mentions Windows, but support has not been verified. Linux and Docker are also listed as platforms. If Windows does not work for you, those are the other options to try, and you can test the setup on your own machine first.
It can be, if you take the usual precautions. Get the source from the official GitHub repository, verify the checksum or signature where available, and never share a seed phrase with anyone. The safety section covers these steps in more detail.
Golem is a decentralized computing network in which people can offer spare computing power and others can pay to use it. ChessOnGolem uses that backend to run its AI players, so knowing the concept helps you understand why the project exists.
Verdict
ChessOnGolem is a niche project for developers who want to explore a Golem integration or study a simple two-agent setup. It is free, MIT licensed and readable, but it has not been updated since 2021 and Windows support is unverified. It is not a good choice for anyone who wants a crypto trading bot, despite the category label. If you need a tool for markets, compare the alternatives in this catalog and test any strategy carefully before committing real funds.