CATALOG
Start from a bundle that already works.
Every template is reviewed before it is listed. Use one and you get a bundle of your own, filled and ready for your agents. It is yours to change from then on.
templates6
- Insurance and Contracts Tracker: Renewals and Notice Periodsv1 · 25 concepts · templatesTrack every insurance policy and household contract with its notice period and last day to cancel, so nothing renews by surprise. Your AI agents remember it.insurance-trackercontracts-trackernotice-periodrenewal-reminder
- Move-In Inspection Checklist and Handover Recordv1 · 26 concepts · templatesA room-by-room move-in checklist, the signed handover record, meter readings and defects in one place, so your AI agents remember move-in day.move-in-checklistmove-in-inspectionhandover-recorduebergabeprotokoll
- Home Management Binder: Meters, Upkeep and Warrantiesv2 · 33 concepts · templatesMeter readings, upkeep checklists, warranties and a Nebenkostenabrechnung check for tenants in one home binder your AI agents keep current.home-management-binderhome-maintenancehome-bindermeter-readings
- Agent Skills Template: One Skill for Every AI Assistantv2 · 28 concepts · templatesTurn one SKILL.md into a shared bundle: steps, tagged rules and examples every MCP assistant reads, plus the corrections your agents write back.agent-skillsagent-skills-templateskill-mdcode-review
- Human Feedback Loop for AI Agents: RLHF Quick Starterv1 · 23 concepts · templatesCorrect your AI agent once and it remembers: feedback becomes learnings and rules it reads every run. Demo: project status reports rated red, yellow, green.rlhfai-agent-feedback-loophuman-in-the-loopself-improving-agent
- Agent Kanban Board: Tasks Your AI Agents Pick Upv1 · 25 concepts · templatesA kanban board your AI agents read and update over MCP: cards, columns, owners and hand-off notes that every chat and every agent remembers.agent-kanban-boardkanbanai-agentstask-board
guides1
Give your agents a memory your team can read.
Free to start, no card needed. For a demo or running it in your own AWS account, write to us.