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Open Source Strategy

Ody is built with a clear open-core model. The knowledge quality tools are free; the training pipeline and AI assistant are proprietary.

License Map​

ComponentPackageLicensePurpose
Platform Core@useody/platform-coreApache 2.0Types, SQLite, providers, vector index
Detectors@useody/detectorsApache 2.05 detectors + consultant analysis + consensus
Eval@useody/evalApache 2.0Benchmarks, corpus runner, flywheel test
Export@useody/exportApache 2.0HTML report, JSONL, TRL adapter, tickets
Refine CLIody-refineApache 2.0The free wedge -- scan, detect, resolve, export
Forge CLIproprietaryProprietaryTraining pipeline, model registry
FeedbackproprietaryProprietarySignal collector, reputation, reward derivation
TrainingproprietaryProprietaryDataset registry, model registry, orchestrator
ColleagueproprietaryProprietaryWeb app, API, Slack bot, worker

Repository Structure​

RepoLicenseWhat's inside
platform/Apache 2.0 (public)Core libs, detectors, eval, export, Refine CLI
forge/ProprietaryTraining, feedback, Forge CLI
colleague/ProprietaryWeb app, API, Slack bot, background worker

Why Open Source Refine?​

Refine is the wedge. It provides immediate value (find broken docs in 2 minutes) with zero commitment. The health report is the viral moment -- teams share it, star the repo, and discover the rest of the platform.

The open source components are genuinely useful on their own:

  • Run ody-refine in CI to catch docs drift
  • Use detectors in your own tools
  • Export findings as tickets or training data
  • Generate health badges for your README

What Stays Proprietary​

The training pipeline and AI assistant are proprietary because they are the revenue products:

  • Forge charges for managed training (GPU compute, model hosting)
  • Colleague charges per seat and consumption (the daily-use product)

Shared Contract​

The @useody/* npm packages define the interface between open and proprietary:

  • @useody/platform-core -- types, document model, provider interfaces
  • @useody/eval -- benchmark definitions, evaluation framework

These packages are published under Apache 2.0 so anyone can build on top of Ody's detection and evaluation primitives.

Competitive Position​

Nobody does what Ody does. The market validates adjacent problems:

CompetitorWhat they doWhat they don't do
AirweaveContext retrieval for agentsNo integrity layer
HydraDBOntology-first context graphInfrastructure, not product
MintlifyDocs formatting CINot content trustworthiness
Glean/GuruSearch enterprise knowledgeNo training loop

Ody's lane: Context integrity -- the quality gate between messy company knowledge and AI that acts on it.