AgencyOS
For marketing agencies: 31 AI specialists, a content calendar and a client portal from request to invoice.
Set up and run your AI operating system, and build on the Stackmint platform. Start from your OS, review the governance layer, or go straight to the platform reference.
Each operating system runs on the same platform and the same governance layer. The reference below covers both.
For marketing agencies: 31 AI specialists, a content calendar and a client portal from request to invoice.
For law firms: 28 AI specialists for contract review, research and drafting, with lawyer approval of the exact version.
Human approval, audit logs, kill switches and client data isolation, under every OS.
The API, MCP tools and the building blocks behind every Custom OS.
Workspaces, specialists, workflows, governance controls and the API. Under the hood, specialists are agents (Dendrites) that run workflows (Branches) made of steps (Buds).
Workspaces are the top-level isolation boundary in Stackmint. Every user, Capability, budget, and governance policy lives inside a Workspace.
ReadBuds are the atomic execution units of the Stackmint platform. Each Bud is a typed, versioned function with a defined input schema, output schema, and implementation.
ReadBranches are execution pipelines that chain Buds together into a governed workflow. They define inputs, outputs, sequencing, and execution constraints.
ReadCapabilities are Workspace-deployed instances of Branches with governance policies, budgets, and access controls applied via a Manifest.
ReadContext Variables are Workspace-level key/value pairs injected into Branch prompts and Bud inputs at execution time. They decouple configuration from workflow logic.
ReadRenderers are certified UI components that format and display Branch execution outputs in Stackmint Surfaces. They are installed per Workspace from the marketplace.
ReadSurfaces are the delivery mechanisms through which Capabilities are exposed to end-users. Stackmint provides Chat, Client Cockpit, Partner Cockpit, and Embedded Surface types.
ReadGuides on running AI work inside a services firm.
Learn how to separate model inference from production execution with gateway controls, deterministic runtime blocks, and governed capability architecture.
Read guideSee how systems integrators shift from implementation projects to managed AI-native operations and protected partner IP.
Read guideFollow the operating playbook for agencies and systems integrators moving from billable hours to recurring governed AI capabilities.
Read guideLearn how agencies and systems integrators package, price, bill, and monetize governed AI capabilities across client workspaces.
Read guideShort definitions, from buyer terms such as human approval and audit logs to platform terms such as Buds, Branches and Dendrites.