AI Agent Management in Cloud
HiLumy gives you a cloud control plane for AI agents so configuration is no longer trapped on one machine or one engineer. Teams can define agents once, reuse them across environments, and recover operations fast when local infrastructure changes.
- Cloud-based AI agent and skill management that helps teams scale operations and maximize reusability.
- Centralized control for agent profiles, linked OAuth clients, and installed skills with least-privilege governance.
- Privacy and security first with strict permission control, and users can revoke AI agent access instantly at any time.
- No programming skills required.
- Everything is managed through UI configuration and natural language chat with your AI agent.
What You Can Manage Centrally
Agent profiles
Maintain clear agent identity, scope of responsibility, and business context for each AI worker.
Skill stack
Attach official skills, internal SKILL.md assets, raw skill URLs, and CLI-installable skills with descriptions.
OAuth client mapping
Connect client IDs to agents with granular scopes, rotate/revoke access, and keep least-privilege boundaries intact.
Scheduled job prompts
Configure recurring automation behavior through job prompts, then keep jobs versioned with each agent config.
Why Cloud Management Is Critical
- Fast recovery: if a workstation fails, you can re-bootstrap an agent from existing cloud config instead of rebuilding from memory.
- Operational consistency: every new agent instance can be initialized from the same prompt and capability blueprint.
- Safer delegation: human operators review and approve access once, while ongoing automation stays within explicit permission boundaries.
- Team-scale reuse: create once, reuse across personal and enterprise workflows without re-authoring every setup step.
From Configuration to Execution
- Define agent name, mission, and constraints in the dashboard.
- Attach required skills, OAuth clients, and scheduled jobs through UI tabs.
- Generate the initialization prompt and send it to your AI runtime.
- Agent installs capabilities and starts operating under your governed permissions.
Result: production-ready AI agents with stronger security posture, lower setup friction, and much higher reusability over time.