Implementation expertise for the standards powering AI-agent infrastructure.
We help teams decide which HCS standards belong in their architecture, then build the application and service layers that make those standards usable.
We turn standards into product surfaces, services, and operating workflows.
HOL maintains the open standards. Moonscape Labs helps teams implement them in real systems.
Standards-aware AI integration
The right implementation path depends on your product boundary: messaging, identity, discovery, points, adapters, skills, or all of them together.
Agent communication
Messaging, connection topics, and coordination flows for agent-to-agent and user-to-agent systems.
Agent profiles
Portable profile metadata for agents, companies, services, and runtime identities.
Universal Agent ID
Stable addressing and resolution patterns for agents across registries and protocols.
Auditable points
Non-transferable participation, reputation, contribution, and status systems with audit lineage.
Adapter registry
Deterministic adapter declarations for appnets, orchestration, and protocol-specific execution.
Skills registry
Published agent skills, verification metadata, and installable automation context.
Enterprise integration
Bring HCS-native AI infrastructure into production.
A short form is enough: what you are building, where HCS fits, and what needs to reach production.