Skip to main content
Adopting an agent platform is a trust decision, so here is the dependency surface stated plainly: which formats are open, where our code sits relative to your agent, what you can take with you, and what breaks (nothing) if you leave. The short version: the artifacts are open, the clients are open source, and the hosted platform earns its keep with evidence — not lock-in.

​
The formats are open

Everything DecimalAI produces on your side of the fence is a documented, openly specified artifact you can read, generate, and verify without us: Two consequences worth spelling out:
  • A skill you install from the registry is yours as a file. It isn’t a pointer into our database — it’s markdown on your disk that keeps working if DecimalAI disappears tomorrow.
  • Every number we publish is reproducible. A verified lift figure comes from an eval.yaml run under the skillevaluation spec; pull the skill and its suite (decimalai skills pull <slug>) and re-run the benchmark on your own machine with the open runner. You don’t have to trust our leaderboard — you can check it.
agentversion and skillevaluation are open specs — published formats with reference implementations anyone can build against. We deliberately don’t call them standards; a standard is earned by adoption, not declared by a vendor.

​
No DecimalAI code in your LLM critical path

The SDK is an observer, not a proxy. Your agent calls your LLM provider directly, with your keys, exactly as it did before:
  • Tracing is fire-and-forget. Traces are queued to a background sender; your agent never waits on our API to answer your users.
  • We never see your LLM credentials. Regression checks are pure trace-store queries — we don’t run your agent. The one place a key is used (Playground runs) is bring-your-own-key, from your browser session.
  • Skill delivery degrades gracefully. Skills exported to disk load without any network call — that’s your runtime reading a local file. If you use hosted routing and the platform is unreachable, the SDK falls back to local-only mode: your agent runs, skills still load from disk, and you lose telemetry for the gap — not uptime.
The blunt test: turn DecimalAI off and your agent still works. You lose the measurement layer — regression checks, effectiveness data, routing telemetry — which is the product. You don’t lose your agent.

​
Everything is exportable

Deleting is a first-class exit too: workspace deletion purges traces, manifests, datasets, and skills — see “How do I delete my data?” in the FAQ.

​
The client tooling is open source

Every piece of DecimalAI code that runs on your machines is permissively licensed: Permissive licensing is the point: if we vanish, the tooling you depend on is forkable, and the file formats it reads and writes are specified above.

​
What is not open — and why

Honesty cuts both ways. The hosted platform — the trace store, the registry, the dashboard, and the verified-benchmark runner — is a cloud service, not an open-source deployment, and self-hosting isn’t offered today. The centralization is deliberate in exactly one place: verified runs execute on our infrastructure, which is what makes a “verified” lift number mean something — a self-reported benchmark can’t poison the leaderboard. You can reproduce any number locally with the open runner; you can’t mint a verified badge locally. That’s the trade, stated plainly. Everything on your side of that line — your files, your data, your tooling — exits cleanly.