The architecture / In plain language
Technology
The platform's design connects AI reasoning to durable workflows, verifiable work, and controlled delivery. Each part has a distinct job.
01 / AI Agents
Specialized AI agents interpret objectives, divide work, and collaborate. Model routing keeps the reasoning layer separate from the work record and approval path.
02 / Workflows
Durable orchestration coordinates steps, waits, retries, and handoffs. A workflow tracks execution; it does not decide whether a change is approved.
03 / Records
Version control, issues, and reviews hold the canonical record of proposed changes and human decisions. Conversation helps the team coordinate, but does not replace that record.
04 / Evidence
Automated builds, tests, and security checks produce evidence tied to a specific revision. Approval gates use that evidence before changes move forward.
05 / Delivery
Declarative configuration and continuous reconciliation turn approved source changes into deployed state. Container orchestration provides the runtime; monitoring shows what actually happened.
06 / Memory
An open-source agent memory system helps agents carry useful context between tasks. Encrypted configuration and scoped permissions keep access bounded by role.
The boundary
Reasoning can suggest the next action. Recorded decisions, deterministic checks, and human authority determine what is allowed to happen.