The community governs the source.
Open source means the right to participate. Contributions, reviews, decisions, and corrections remain public in Git.
OPENWeights. OPENArtifacts. OPENLicenses. OPENData. OPENOrigins.
OpenWALDO.
The first open-source AI project and community.
OpenWALDO brings everything people expect from open source to AI: a community anyone can join; source code and training data anyone can contribute to and audit; open tools; public governance and trust earned through transparency; and models anyone can compose, train, validate, reproduce, extend, and improve.
THE FIRST OF ITS KIND.OPEN-SOURCE AI.
COMMUNITY · DATA · TOOLS · MODELS
01OPEN THE INPUTSTRACE THE OUTPUTS
Enter the project
01 / COMMUNITY
Join the
Train models
Put your data
Join the
community.
Participate in open-source AI, not just as a user, but as a builder and steward. Learn, collaborate, contribute data, review evidence, correct the record, and improve the tools together.
Join OpenWALDO on Slack ↗ 02 / TRAININGTrain models
with OpenWALDO.
OpenWALDO’s built-in tooling makes it easier to compose, forecast, train, inspect, and export models through one understandable workflow, with lineage and receipts preserved throughout.
Explore OpenWALDO’s training tools ↗ 03 / CONTRIBUTE DATAPut your data
in the corpus.
Make sure the information you want future AI models to learn from is present, attributable, and available in the shared corpus.
See how to add your data ↗Open means the sources
Weights are binary artifacts, not source.
Open source means the source is open. For AI, that includes training material, licenses, tools, recipes, decisions, and resulting weights, all connected by verifiable provenance.
Open weights are enormously valuable, but they are compiled outputs, like software binaries. The sources and records behind them make independent inspection, reproduction, correction, and accountability possible.
Hashes govern identity.
Canonical Parquet objects are addressed by their content, not trust.
BOMs cross boundaries.
Resolved data and model lineage travel into runs and release packages.
The proven model
Open source built the software infrastructure the world runs on.
Now we are bringing the same model and benefits to AI.
OpenWALDO applies the proven open-source development model across the full AI project. Its community can participate in data, tools, models, provenance, and governance, bringing AI the same transparency, collaboration, shared ownership, and compounding improvement that made open-source software foundational.
The foundation of modern computing.
Linux, the web, cloud infrastructure, containers, supercomputing, Python, PyTorch, and much of today’s AI tooling grew through open communities working together at extraordinary scale.
Maintain the foundation in public.
Public participation makes the foundation more transparent, accountable, useful, resilient, and responsive to the people and organizations that depend on it.
Let every contribution compound.
A source added once can support many models. A correction improves the public record. Better tooling helps every future contributor, and the benefits remain available to everyone.
The public commons
A living corpus.
Maintained by the community.
Individuals, researchers, and organizations continuously contribute, review, and correct a shared training-data commons. Git preserves its public history, content-addressed storage preserves object identity, and every accepted change strengthens the foundation for everyone.
Indexed training material—reference tokens across — documents
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