Run agents and continue work
Chat, launchers, recent runs, resumable sessions, and memory-backed runtime work live in one place.
Atellagent gives enterprise teams a hosted platform for building and running agents and workflows plus vendor-neutral control across external runtimes. Manage identity, model access, runtime policy, and attributable evidence from one control surface.
Start with governed visibility, then tighten policy into enforcement over time.
Chat, launchers, recent runs, resumable sessions, and memory-backed runtime work live in one place.
Queue health, review backlog, and change signals stay connected to the runtime activity they describe.
Build workflow logic, configure hosted agents inside workflow deployments, manage executions, and resume governed sessions from one runtime system.
Teams can author policy, manage roles and data, and review decisions against the evidence attached to them.
Replay, telemetry, audit events, side effects, and investigations stay connected to the execution activity they describe.
Manage users, roles, enterprise SSO, service accounts, provider access, and inventory for connected agents, MCP servers, channel adapters, and deployment identities from one control surface.
Adopt the managed runtime, connect existing runtimes, or run both together without changing the control model.
Use Atellagent as the managed runtime when you want the strongest built-in control posture.
Connect customer-owned execution without rebuilding policy and evidence around a separate stack.
Keep runtime ownership where it is while standardizing how governed calls leave the process.
Atellagent treats models and detector-driven controls as governed participants, not bolt-ons.
Bring your own models into the platform without rewriting the control path around each provider.
Keep model governance aligned with identity, workflow state, and runtime context.
Bring your own detector models or classifiers for IP, trade-secret, and other enterprise-specific controls.
Hosted and external runtimes pass through the same secure runtime mesh, where identity, policy, and evidence stay attached before actions reach downstream systems.
Some teams start with coding agents, then expand the same control model into broader enterprise workflows.
Start with governed visibility instead of day-one hard blocking.
Tighten by action class and risk surface as evidence accumulates.
Choose a starting workflow, then expand the same control model across automations and other enterprise agent systems.
A product demo covers the hosted platform and adoption path. The Architecture page explains the deeper runtime model behind it.