Server-side governance
Users, tokens, service accounts and project-scoped RBAC are validated on every operation, not by hiding a button.
Agentic operating system
Marcus
Build agents that can be governed, audited and recovered like any critical system.
Bun-first, self-hosted infrastructure for building agents with identity, versions, policies and operational evidence.
The platform
Autonomy without governance is simply risk at scale.
Marcus centralizes identity, policy, state and execution under one authority. It versions agents, supervises Worker and Process runtimes, and preserves runs, checkpoints, events, artifacts and audit history so the system can be operated and recovered explicitly.
AGENTS / GOVERNANCE
Everything required to operate agents beyond the demo.
Marcus turns every agent into an operable unit with identity, contract, version, runtime and a verifiable history of what it did. Authority stays on the server.
Versioned agents
Immutable versions and explicit contracts let agents evolve without losing their operational history.
Supervised runtime
Worker and Process profiles, resident instances, recovery and observable cancellation inside your own infrastructure.
Complete evidence
Events, progress, redacted logs, checkpoints, artifacts and audit history explain every Run.
APPLICATION MAP
A common foundation for every agentic operation.
From a single enterprise agent to an internal AI factory, Marcus centralizes governance and execution without forcing the organization to surrender its infrastructure or data.
01
Agent platforms
02
Enterprise automation
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Multi-agent operations
04
Governance and audit
05
Internal AI factories
DELIVERY
Managed speed or operational sovereignty.
Stock42 can develop and operate agents in our Cloud or install Marcus inside your infrastructure with the same governance model.
Marcus in our Cloud
Stock42 designs and develops agents on a managed platform with speed and expert oversight.
Marcus in your infrastructure
A private installation that keeps agentic governance, context and data inside the corporate perimeter.
Stock42 implementation
Move from agent experiments to institutional capability.
We define the first use case, governance perimeter and deployment model so Marcus starts with a concrete operation and grows with control.