Agent infrastructure,
built for trust.
Versioning, replayability, audit, and portability for AI agents.
Don't trust the agent. Verify its genome.
// Platform
One control layer for AI agents.
Version
Track what changed between agent releases.
Replay
Re-run critical decisions with the same genome.
Govern
Enforce policies before agents act.
Prove
Export signed evidence for audits and incidents.
// The problem
Agents change. Logs don't explain why.
Prompts change. Models update. Tools evolve. Memory mutates. Policies drift.
Traditional logs show events. They don't prove what changed, whether behavior can be replayed, or which release caused the risk.
Before
After
// The genome
The agent genome.
One signed record of everything that shapes agent behavior.
// Compliance
EU AI Act evidence, by design.
Generate technical evidence for risk management, documentation, record-keeping, and human oversight.
Agenomic provides technical evidence. It does not issue legal certification. Legal compliance requires qualified review.
Article 9
Risk evidence per release.
Article 11
Technical documentation from the genome.
Article 12
Signed traces and audit records.
Article 14
Human oversight proof when required.
// Workflow
Start local. Govern in the cloud.
// MCP server
Governance your agents can call.
With the Agenomic MCP Server, agents can write their own evidence trail while they run.
Agenomic becomes the control layer agents use directly.
// Use cases
Built for production agent teams.
Make every agent release provable.
Version behavior. Replay decisions. Export evidence. Govern production agents.
Create your first genome
