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Request your personal fishnet key: https://lichess.org/get-fishnet
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Install and run the fishnet client.
Download standalone binary
Select the binary for your platform from the latest release and run it.
# After download: chmod +x fishnet-x86_64-unknown-linux-gnu ./fishnet-x86_64-unknown-linux-gnu --auto-update
Useful commands
./fishnet-x86_64-unknown-linux-gnu configure # Rerun config dialog ./fishnet-x86_64-unknown-linux-gnu systemd --auto-update # Print a .service file ./fishnet-x86_64-unknown-linux-gnu --help # List commands and options
Other installation methods: From source, AUR, Docker, Kubernetes
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Pick an update strategy.
Automatic updates
Run with
--auto-update
as recommended above (will currently still require manual restarts on Windows due to #151).Subscribe to release announcements
With a GitHub account, you can watch this repository (can be set to release announcements only). See the top right corner on this page.
Watch @arex explain fishnet.
fishnet uses Stockfish (hence the name) and Fairy-Stockfish for chess variants.
Available for | 64-bit Intel and AMD | ARMv8 / Silicon |
---|---|---|
Linux | x86_64-unknown-linux-gnu |
build from source |
Windows | x86_64-pc-windows-gnu.exe |
|
macOS | x86_64-apple-darwin |
aarch64-apple-darwin |
FreeBSD | build from source |
- Needs an operating system from around 2018 or later
- Will max out the configured number of CPU cores
- Uses about 64 MiB RAM per CPU core
- A small amount of disk space
- Low-bandwidth network communication with Lichess servers (only outgoing HTTP requests, so probably no firewall configuration required)
Almost all processors will be able to meet the requirement of ~2 meganodes in 6 seconds. Clients on the faster end will automatically be assigned analysis jobs that have humans waiting for the result (the user queue, as opposed to the system queue for slower clients).
Feel free to turn your client on and off at any time. By default, the client will try to finish any batches it has already started. On immediate shutdown, the client tries to inform Lichess that batches should be reassigned. If even that fails, Lichess will reassign the batches after a timeout.
No, Stockfish is a classical alpha-beta engine. The neural network evaluation of Stockfish NNUE works efficiently on CPUs.
To the best of our knowledge. However you implicitly trust the authors and the
GitHub infrastructure when running with --auto-update
.
You can mitigate this by running fishnet as an unprivileged user.
cargo-crev
is used to review the
trustworthiness of dependencies.
No, sorry, not publically. It would incentivize gaming the metrics.
There is currently no ready-made solution, but an API for monitoring the job queue status is provided.
See protocol.md for details.
Also supports SSLKEYLOGFILE
for inspection at runtime.
fishnet is licensed under the GPLv3+. See LICENSE.txt or
./fishnet-x86_64-unknown-linux-gnu license
for the full license text.