Is Agenomic's replay deterministic?

No. Replay is statistical: it compares output distributions and behavior-contract outcomes across re-runs rather than asserting bit-identical results.

Does Agenomic help with EU AI Act compliance?

Yes. Each release can produce an EU AI Act Articles 9–15 mapping plus signed evidence you can attach to technical documentation and record-keeping. Agenomic provides evidence; it is not a legal certification.

Do I need an account or the cloud to use Agenomic?

No. The CLI and SDKs run fully offline with no account. Cloud is optional — for sharing signed bundles, reviews, and replay.

What does an agent genome capture?

Prompts, models and configuration, tools, permissions, policies, dependencies, memory contracts, execution traces, behavioral fingerprints, and compliance evidence.

How is this different from observability or AgentOps?

Observability tells you what your agent did; Agenomic tells you what your agent is — a signed, versioned, replayable record reviewers can diff before promotion.

Are Agenomic's audit artifacts tamper-evident?

Yes. Genomes are signed and produce tamper-evident attestations (ATEP) suitable for compliance review and post-incident analysis.

Developer tools

CLI reference

Core `agenomic` commands for local release, replay, diff, and cloud publishing.

Search index Edit on GitHub

Run a pipeline

agenomic run executes a workflow definition, captures trace events, and writes an agent.lock file for repeatable comparison.

bash

agenomic run pipeline.yaml --bundle out/bundle
agenomic diff baseline.agent.lock candidate.agent.lock

Publish to cloud

When connected to Agenomic Cloud, the CLI uploads signed bundles to the registry for review and replay.

bash

agenomic cloud login
agenomic cloud push-agent out/bundle