OPERATIONS & ORCHESTRATION
Coordinate agents, tasks and IT operations from one real-time control plane.
QOP is an operator platform for multi-agent IT operations, LLM orchestration and system management. It combines a central control server, real-time web interface, provider gateway, local agents, tools, task flows, approvals and audit so autonomous work remains visible and steerable.
- Multi-LLM
- local and cloud providers
- 13+
- specialized agent personas
- Real time
- SignalR control and status
From prompt to managed operation
QOP turns requests into trackable work. Tasks can be queued, assigned to capable providers, streamed while they run, verified at completion and retained in an event history.
- Task creation, assignment and status lifecycle
- Hierarchical TaskFlow structures
- Retry, cancellation and reassignment
- Blocked-task and bottleneck analytics
- Real-time execution updates
- Execution history and audit trail
A provider-neutral LLM layer
A unified provider interface coordinates local and hosted models. Documented integrations include Ollama, OpenAI, Azure OpenAI, Claude, ChatGPT Codex, GitHub Copilot, MiniMax and Gemini.
- Provider and model configuration
- Model synchronization and task queues
- Streaming response infrastructure
- Local-model operation through Ollama
- Cloud-provider credentials kept per deployment
- Workload routing based on configured capabilities
Specialized agents and collaborative personas
Persona definitions give agents explicit roles, skills and context. Multiple specialized agents can discuss a problem, contribute domain knowledge and hand work to an execution provider.
- 13+ documented specialized personas
- Persona management and dynamic skills
- Collaborative discussion workflows
- Knowledge and marketplace surfaces
- Provider and local-agent registration
- Human oversight for consequential actions
Automation with approval boundaries
Autonomy rules can react to cron schedules, events, thresholds or expressions. Sensitive operations pass through approval workflows instead of being silently executed.
- Cron and event-driven triggers
- Threshold and expression evaluation
- Action rules for task creation and operations
- Approval workflows for sensitive changes
- Timezone-aware schedules
- Enable, disable and test controls
MCP and local execution
QOP integrates tools for system, filesystem, Git, containers, databases, office documents, networking and development. Local agents connect enterprise environments to the central platform.
- System operations for Windows, Linux and macOS
- Filesystem, Git, Docker and database tools
- Office document capabilities
- Network and research tools
- .NET and Python development operations
- Local agent, file proxy and scheduler
Operate with visible architecture
The Blazor administration experience combines system topology, component health, logs, task analytics, personas and configuration. Multi-tenant boundaries, authentication and distributed logging support controlled operations.
- Drag-and-drop architecture topology
- TaskFlow distribution and health views
- Central log and system-component views
- Multi-tenant data context
- JWT, roles, lockout and MFA-capable portal
- Container deployment for platform services
Agent orchestration and IT automation
An LLM gateway organizes access to models; an agent orchestration platform also coordinates tasks, execution and oversight. QOP combines these concerns for IT operations, helping teams follow tasks across providers, local agents and approval steps.
- Coordinate multi-agent tasks and model providers
- Follow execution status, retries and operational events
- Agree on supported integrations and rollout scope before deployment
FAQ
Questions, answered clearly
Scope, deployment and commercial terms are confirmed for your use case.
Is QOP only for local models?
No. It documents both local Ollama operation and several cloud LLM providers through a unified interface.
Can actions require approval?
Yes. Sensitive actions can be routed through approval workflows and autonomy rules can be constrained or disabled.
What does TaskFlow provide?
It tracks stages, distribution, bottlenecks, blocked tasks and health so operators can see where work is waiting or failing.
Is every repository capability automatically production-ready?
No. Availability and operational readiness must be validated for the intended deployment, integrations and security requirements.
How do I choose the right scope?
Start with one use case, the people involved and the evidence you need. In a demo, agree on integrations, access permissions and the operational scope before rollout.
NEXT STEP
Make autonomous operations visible, assignable and governable.
We will identify the first task flow, required providers, approval boundaries and operational evidence for a controlled QOP rollout.