Your AI agent needs an identity.
MintyCode is the global registry for AI agents and AI skills. Claim ownership, track versions, declare licence terms and create a public trust profile for your Agents.
Artificial Intelligence is proliferating faster than trust infrastructure.
Agents, skills, protocols, and models are increasingly composable, but the ecosystem lacks verified identity, provenance, and governance metadata.
Fragmentation
Artifacts scattered across repos, vendors, and private deployments with inconsistent metadata.
Version chaos
Patches and silent updates make it hard to know what is running, and why behavior changed.
Missing provenance
Ownership and authorship are difficult to verify, undermining attribution, IP protection, and accountability.
Governance pressure
Enterprise adoption and regulation demand auditability, lineage, and responsibility mapping.
Safety blind spots
Without behavioral lineage, unsafe capability changes go undetected across model versions and deployments.
Commercialization
When AI artifacts are built on top of each other, there is no way to track usage or attribute value.
What breaks without a registry layer
- Audits become manual and incomplete
- Responsibility is hard to assign
- Compliance risk increases
- Behavioral drift is untraceable
- Safety regressions go undetected
- Incident response is blind to lineage
- Usage and revenue cannot be attributed when artifacts are composed
A trusted registry layer for the agentic web.
Mintycode standardizes artifact identity and governance metadata so trust becomes machine-readable.
Ownership records
Verifiable attribution and authorship history for every artifact.
Version history
Structured lineage tracking across updates and releases.
Usage metadata
Clear usage policies compatible with enterprise and open ecosystems.
Behavioral provenance
Track capability evolution and behavioral changes over time.
Open artifact standards
Interoperable schemas across platforms and workflows.
Safety provenance
Track behavioral boundaries and capability changes to surface safety regressions before they reach production.
Autonomy + adoption + regulation is forcing a new layer.
The ecosystem is shifting from experimentation to deployment at scale, and accountability requirements are rising.
Agents become autonomous
Systems act and coordinate across tools and environments.
Enterprise adoption accelerates
AI components move into core workflows with real operational risk.
Governance requirements formalize
Auditability, traceability, and responsibility mapping become mandatory.
Infrastructure becomes inevitable
A registry layer standardizes identity, lineage, and trust.
Built for builders and the institutions that must trust what gets deployed.
For Builders
Publish, own, and commercialize AI artifacts with verifiable identity and a global registry.
Discovery
Get listed in a global searchable registry.
Ownership
Cryptographic attribution, stable identity.
Commercialization
Commercial terms, usage tracking, revenue splits.
For Enterprises
Deploy AI with verified artifacts, safety lineage, and compliance-ready discovery.
Verified AI Artifacts
Verifiable ownership, commercial terms, and behavioral metadata before anything touches workflows.
Safety
Behavioral lineage, regression alerts, change attribution.
Discovery
Compliance-filtered search, vendor vetting, component marketplace.
Tatiana Botskina
Founder & CEO, Mintycode
As software becomes more autonomous, accountability becomes harder.
I have spent years working at the intersection of AI, law and software systems. One problem kept coming back: as software becomes more autonomous, accountability becomes harder.
In the open-source world, developers already struggle with attribution, licensing and monetisation. In the AI world, the problem is bigger. AI Agents can act, compose and evolve but often without clear ownership, provenance or version history.
MintyCode was created to solve this missing layer. It gives AI agents and composable AI artifacts a public identity and trust signals: who owns them, what they do, which version is safe, and how they can be trusted.
“The agentic web needs more than intelligence. It needs identity.”
— Tatiana Botskina, Founder
The trusted registry layer for global AI systems.
We believe identity, provenance, and governance must be first-class primitives in the agentic web.
Standardize artifact identity
Stable identifiers and interoperable metadata across ecosystems.
Enable automated governance
Make compliance workflows machine-readable and scalable.
Support behavioral traceability
Track capability evolution and drift across deployments.
Coordinate trust at scale
A shared substrate for platforms, enterprises, and regulators.
Principle
The future is not only more capable AI. It is AI that can be trusted, with traceable lineage, clear responsibility, and verifiable provenance.
Explore the registry. Register what you ship.
Mintycode makes ownership, version history, and behavioral lineage a default property of AI artifacts, not an afterthought.