Hermiq: scheduling autonomous AI agents in Nextcloud

Most agent platforms ask you to ship your data somewhere else. Hermiq runs the agents inside the Nextcloud you already operate — agents, their memory and their skills all stored as OpenRegister objects, governed and audited like anything else on the instance. The full recording is above.

What we covered

• What an autonomous agent is in the Hermiq sense: a prompt, a model, MCP tools, and installable skills from the agentskills.io catalog
• Running agents on a schedule — daily, hourly, or flow-triggered — and delivering the output to a Nextcloud Talk conversation, falling back to a notification when Talk isn't installed
• Chat, sessions and memory: the live streaming thread, full session history, and the consolidating memory that keeps long-running agents inside their context budget
• The human approval gate — routing sensitive actions to a reviewer inbox, approving or denying per action, and the org-level kill switch
• Why every agent, run, memory and skill is an OpenRegister object, and what that buys you: multi-tenancy, an audit trail, and access control you already understand
• Live demo: defining an agent, giving it tools, scheduling it, and watching a run arrive in Talk
• Audience Q&A on model choice, cost control, and where the human stays in the loop

Go deeper

Speakers

Conduction's Hermiq lead, defining and scheduling a working agent live on a real instance.

Resources

• Slide deck (linked once the recording is up)
• The agent configured during the demo
• Source and issues: Hermiq on Codeberg