September 1st, 2026
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Timefold Solver 2.6.0

In this release, we have focused a lot on the service module and accompanying documentation. But we have also fixed several important bugs and if you look very closely, you will find out that Neighborhoods-based custom moves now select elements more fairly, leading to a much less biased exploration of the search space.

Changelog

🚀 Features

  • Neighborhoods: Iterator-based paradigm (#2582)
  • Service: Add support for moveCountLimit
  • Service: Allow to use PAT from Maven-encrypted settings
  • Service: Add goal to show permissions of configured token (#2588)
  • Service: Ensure enterprise profile is active on Maven deploy plugin execution (#2581)

🐛 Fixes

  • Core: Restore working solution score after move is undone (#2596)
  • Benchmarker: correct ID used for single metric results (#2600)
  • Bavet: prevent stale join+ifExists filtering on all cardinalities (#2576)
  • Service: Visualisation detection (#2603), closes #2593

🧰 Tasks

  • Core: More specific problem scale (#2549)
  • Service: unify configuration properties (#2545)

📝 Documentation

  • Mention the default moves (#2606)
  • Extend mixed model docs (#2594)
  • Clarify service termination options (#2591)
  • /demo-data/{id} response shape undocumented (service module) (#2565)

Contributors

We'd like to thank the following people for their contributions:

  • Christopher Chianelli (@Christopher-Chianelli)
  • Cristiano Nicolai (@cristianonicolai)
  • Diogo Ferreira (@diogodanielsoaresferreira)
  • Frederico Gonçalves (@zepfred)
  • Jurriaan Persyn (@oemebamo)
  • Lukas Downes (@LDWNS)
  • Lukáš Petrovický (@triceo)
  • Marek Winkler (@winklerm)
  • Radovan Synek (@rsynek)
  • Tom Cools (@TomCools)
  • Lee Carlon (@lee-carlon)

Timefold Solver Community Edition is an open source project, and you are more than welcome to contribute as well! For more, see Contributing.

Timefold also offers commercial editions of the solver, which include additional features such as explainability, the ability to scale out to the biggest datasets, and enterprise-grade support. Find out more about the different editions.

How to use Timefold Solver

To see Timefold Solver in action, check out the quickstarts.

With Maven or Gradle, add the ai.timefold.solver : timefold-solver-core : 2.6.0 dependency in your pom.xml to get started.

You can also import the Timefold Solver Bom (ai.timefold.solver : timefold-solver-bom : 2.6.0) to avoid duplicating version numbers when adding other Timefold Solver dependencies later on.

Additional notes

The changelog and the list of contributors above are automatically generated. It excludes contributions to certain areas of the repository, such as CI and build automation. This is done for the sake of brevity and to make the user-facing changes stand out more.

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Timefold

Timefold is an AI planning optimization platform, built on powerful open-source solver technology, enabling software builders to tackle real-world, complex and high-impact operational planning problems. It delivers significant economic value in optimization operations like extended VRP, maintenance scheduling, field service routing, task sequencing, etc.

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