Keep the context
Give the agent durable workspace memory, files and reusable procedures instead of restarting from a blank chat every time.
AI workflow automation
Hermes Layer
A hosted AI automation platform for long-running workflow work.
Use Hermes Layer to run persistent AI workflow automation with memory, files, WebUI, connectors, signed webhooks, Developer API access and private hosted runtime routes.
AI automation platformPersistent memoryWorkspace filesConnector-readyDeveloper API
Hermes WebUI WorkspaceonlineTurn this recurring process into a persistent AI workflow with memory, files, webhook intake and API access.
auto_fix_highHermes is preparing the workflow
- check_circleAI automation platform
- check_circlePersistent memory
- check_circleWorkspace files
- check_circleConnector-ready
Launch path
From intent to a running workspace.
Route real work
Use WebUI, gateway connectors, signed webhooks and API calls to give the agent operational tasks from outside the browser.
Operate the workspace
Run the private hosted runtime with account controls, backups, support and capacity plans behind it.
Product foundation
For buyers searching beyond one specific agent name.
This page leads with AI automation and workflow automation platform intent first, then introduces Hermes Agent and Hermes WebUI as the product foundation.
Persistent agent context
Sessions, files, memory and skills give recurring workflows a durable place to continue.
Connectors and webhooks
External systems can reach Hermes through scoped, signed and tenant-aware routes.
Developer API access
Technical teams can call protected workspace routes without exposing the underlying runtime.
Campaign routing
Use this page for the matching search intent.
- Search intent
- ai workflow automation, workflow automation ai, ai automation platform, ai agent software
- Primary proof
- Persistent hosted workspace with memory, files, connectors and API access
- Best CTA
- Start workflow automation or review pricing
Workflow workspace proof
AI automation needs a workspace, not only a chat box.
The next visual pass needs clean scenario-based screenshots. Until then, this page explains the workflow proof without using misleading captures.
A real workflow scenario
The demo data should show a believable workflow with files, context and a concrete handoff, not launch-process notes.
A controlled operating view
The captured view should prove private runtime operations, backup readiness and repeatable workspace use.
Next step
Give recurring AI work a real workspace.
Start with a hosted AI agent workspace, then connect the Hermes runtime to the workflows that need memory, files and private routes.