AMAgents Max UI

Agents Max UI

The control plane for production-ready AI agents

A polished landing page for your dashboard: explain agent clusters, tools, connectors, memory, workflow execution, testing, and operations in a style that feels premium and enterprise-ready.

Cluster

Operations Intelligence

live
Agent clusters12
Tools online38
Connector health96%
Avg. run latency1.8s
agent-runtime
$ agents-max inspect cluster --name operations
✓ 4 agents configured
✓ 12 tools available
✓ connector health: stable
$ agents-max run test-suite --release candidate
✓ policies passed
✓ ready for controlled release
agent-release.tsreviewed
41- agent.status = 'draft'
42+ agent.status = 'tested'
43+ release.channel = 'production'
44 publish(agent.version)
Connector healthstable
Email senderhealthy
Calendarhealthy
PDF generatorhealthy
Memory searchhealthy

One consistent visual language across the operational surface

ClustersAgentsToolsConnectorsMemoryFilesWorkflowsOps
Platform scope

The landing page for an agent operations product

Present your dashboard as a serious control plane for agent configuration, testing, observability, and release management.

Agent control center

Create, configure, test, and supervise AI agents from one operational interface.

Workflow orchestration

Connect agents to multi-step executions, handoffs, tools, memory, and async jobs.

Connector readiness

Track external systems, health states, enabled status, and tool availability before agents run.

Governed access

Keep admin controls, auth boundaries, and release decisions visible for production usage.

Operations dashboard

Monitor clusters, agents, tools, connector health, API status, and execution reliability.

Release lifecycle

Prepare agent versions, test runs, policy checks, and release history without leaving the UI.

How it works

A visual story for the full agent lifecycle

Use alternating editorial blocks, product-like mockups, and short copy to explain the platform without overwhelming non-technical readers.

Design and deploy

Build agent clusters without losing control

Give teams a clean place to define agents, roles, prompts, models, tools, and cluster-level rules before anything reaches users.

  • Agent and cluster registry
  • Prompt and model configuration
  • Tool availability checks
Agent clusteractive
Cofounder Agentprimary
Project Managerready
Marketing Agentready
Finance Agentready
Run and observe

See what every execution is doing

Surface runtime activity, messages, handoffs, tool calls, memory context, and execution state in a dashboard built for operators.

  • Streaming execution state
  • Tool invocation timeline
  • Memory and file context
execution-stream
$ run workflow customer-chatbot
→ handoff: project-manager-agent
→ tool: memory.search
→ tool: email_sender.create_draft
✓ completed in 2.4s
Operate safely

Know when connectors are ready

A production agent is only useful when its dependencies are alive. Track health and readiness before failures reach users.

  • Healthy, unhealthy, disabled, unknown
  • API health checks
  • Refreshable live summary
Readinessactive
API healthprimary
Email connectorready
Calendar connectorready
PDF toolready
Improve continuously

Version, test, and release agents

Treat agents like software artifacts: evaluate changes, compare versions, run tests, and publish stable configurations.

  • Agent version history
  • Test runner
  • Release gates and changelog
Release candidatecandidate
v1.3 draftprimary
policy checksready
test suiteready
release notesready
What builders are saying

Built for teams that need agent systems to feel operationally mature

The UI makes a technical agent platform understandable for product, operations, and engineering teams at the same time.
Platform leadInternal AI systems
Instead of guessing why an agent failed, the operations view shows dependencies, tools, and execution state in one place.
Engineering managerWorkflow automation
The landing page gives the product a serious enterprise feel while keeping the message simple and useful.
Business stakeholderAI adoption
Ready to ship

Give your agent dashboard a polished entry point

Send visitors to the product story first, then route technical users directly into the dashboard, operations page, or docs.

Launch the control plane

Start from a polished landing page and guide users into your dashboard.

Demo live workflows

Use visual terminal panels to explain complex agent behavior without heavy technical detail.

Route to chatbot use cases

Explain how external products can connect to agents for chat and workflow orchestration.

Keep implementation simple

A CSS module and server components keep the page compatible with your current Next.js setup.