Configurable agents
Each agent lives inside an organization, with configuration, lifecycle, and permissions resolved by Kairoseth.
Organization-scoped controlled AI agents for auditable conversations and a staged evolution toward knowledge, memory, and approved tools.
The model is never the authorization boundary. Kairoseth keeps tenant scope, permissions, context, provider selection, and future tool capabilities under server authority.
Each agent lives inside an organization, with configuration, lifecycle, and permissions resolved by Kairoseth.
The conversation layer uses a provider-neutral runtime and persists messages, status, usage, latency, and failures with tenant isolation.
Knowledge, memory, tools, and execution arrive in stages through READ, DRAFT, and EXECUTE policy rather than implicit autonomy.
This landing reflects the real product state. Future capabilities remain roadmap items until their implementation and production gates pass.
Agent shell, CRUD, lifecycle, product RBAC, and audit are complete.
Implementation is integrated; production configuration and authenticated E2E verification remain the final acceptance boundary.
Source ingestion, cited retrieval, and controlled memory follow after the conversation runtime.
READ first; DRAFT with human approval; EXECUTE explicit, granular, revocable, and disabled by default.
Roles, data access, memory, tools, approvals, and execution are authoritative Kairoseth decisions. EXECUTE will arrive disabled by default, granular, revocable, and audited.
Kairoseth separates identity, organization scope, product roles and product capabilities. A login route, browser state or AI response never becomes an authorization boundary by itself.
Customer resources and access are resolved inside an active organization context rather than treated as global account state.
Owner, Admin and Member authority is assigned per product. Organization membership alone does not automatically grant every product.
Sensitive access, policy and capability decisions remain authoritative on the server instead of trusting client UI state or model output.
Capabilities that can act are introduced behind explicit grants, staged gates and audit rather than implied autonomy.
Review the customer-facing policies that define privacy, security reporting, acceptable use and the current legal operating framework.
You can follow the product's progress without confusing active development with commercial availability.