AgentShelf Platform

A complete platform behind every focused agent.

Start with one website agent and its dedicated workspace. AgentShelf keeps its instructions, approved context, tools, model access, activity, and controls together—so the next workflow does not require another platform.

Launch AI Front Desk

The platform, layer by layer

  1. Agent harnessRole, instructions, memory
  2. Knowledge & toolsApproved context and actions
  3. GovernanceBudgets, policies, usage traces
  4. Trust boundariesWho sees what, where

Every focused agent runs on all four.

The AgentShelf stack

What feels simple on the surface is connected underneath.

A visitor sees a helpful website conversation. The user sees one focused agent in a dedicated workspace. AgentShelf manages the setup and controls behind both experiences.

Select a module for a short explanation.

Shared across the platform

AgentShelf Control Plane

Configure the agent, connect what it needs, put it to work, and keep usage visible from one managed layer.

  1. Build
  2. Connect
  3. Deploy
  4. Govern
  5. Measure
  6. Reuse
Layer 03

What makes the agent useful

The practical pieces around the model that prepare an agent for its job.

Together, these pieces form the agent harness.

Shared beneath every layerAgentShelf managed platform

One managed base beneath agent configuration, approved resources, execution, and governance.

Start with the job. Give the agent what it needs. Keep usage and boundaries visible. Reuse what works.

AgentShelf Starter

Begin with one website agent and the workspace it needs.

Starter includes one platform user, one AI Front Desk agent, and its dedicated workspace.

Explore AI Front DeskSee Agent Workspaces
01One platform user to manage the work.02One focused AI Front Desk agent.03One dedicated workspace for its context and controls.

See the platform behind your first agent.

Walk through the agent, workspace, context, tools, model access, and controls for your first website workflow.

Explore Agent Harness