Dashboard Overview
Qoris OS control plane
Workers live
12
Pending approvals
3
Deploy AI workers, run dedicated worker containers, or connect external agents to Qoris — Memory, Knox governance, tools, and audit — all from one control plane.
Not a chatbot. Not a wrapper. Qoris is the infrastructure layer for running AI work safely in production.
Dashboard Overview
Qoris OS control plane
Workers live
12
Pending approvals
3
Most AI tools help teams create agents. Qoris OS is built for what happens after that. Workers need memory. They need tools. They need runtime environments. They need policies. They need approvals. They need audit trails. And they need to work across the systems companies already use. Qoris OS brings those pieces together into one governed execution layer for AI workers.
Deploy business-ready AI workers for sales, support, operations, compliance, reporting, and customer workflows.
Coordinate multi-agent workflows using default and custom subagents inside each worker.
Give workers fast recall and verified long-term memory without turning every interaction into untrusted truth.
Govern actions before execution with policies, approvals, blocking, and decision traces.
Connect workers to CRMs, calendars, email, helpdesks, internal APIs, MCP servers, and business systems.
Record every action, memory update, tool call, approval, and Knox decision in a unified system of record.
Qoris supports hosted workers, dedicated worker containers, and external agent stacks — so teams can start fast without giving up control.
Start with pre-built or custom AI workers inside Qoris OS. Ideal for teams that want guided deployment, governed workflows, and fast time to value.
Best for
Sales follow-up, support resolution, reporting, customer intake, compliance monitoring.
Launch dedicated worker runtimes with Memory, Knox, tools, and audit built in. Use Qoris-managed infrastructure or customer-owned environments.
Best for
Enterprise deployments, regulated workflows, BYO model strategies, private cloud.
Bring Qoris Memory and Knox to the agents you already use — including Claude, MCP clients, custom agents, and external runtimes.
Best for
Teams already building agents who need governed memory, policy checks, and auditability.
Qoris workers are not generic chatbots. Each worker is a business capability with a goal, workflow, tools, memory behavior, approval points, and audit expectations. A Sales Follow-Up Worker knows how to qualify leads, draft follow-ups, schedule meetings, update CRM, and request approval before external actions. A Compliance Monitor knows how to review high-risk actions, retrieve policy context, flag violations, and log decisions. Each worker is powered by Harness, governed by Knox, and backed by Qoris Memory.
Qualifies leads, drafts follow-ups, schedules meetings, and updates CRM with governed execution.
Resolves customer issues using approved knowledge, customer history, escalation rules, and approval controls.
Reviews actions, flags risk, applies policy, and creates auditable compliance decisions.
Answers internal questions from approved knowledge and governed memory across your workspace.
Behind each Qoris worker is Harness — the orchestration layer that coordinates subagents, skills, tools, memory, approvals, and execution. A worker can use default subagents like Planner, Researcher, and Executor. Teams can also create custom subagents for specialized roles. The visible worker is the business capability. Harness coordinates the team underneath.
This gives teams the simplicity of deploying a worker with the flexibility of multi-agent orchestration underneath.
AI workers need memory, but not every past interaction should become trusted truth. Qoris Memory combines fast semantic recall with verified long-term memory.
Fast Recall
Vector-based semantic recall for recent context, similar cases, conversations, runs, tickets, and workflow traces.
Use for
Find relevant context quickly.
Canonical Memory
Verified long-term memory for approved facts, customer preferences, workflow rules, decisions, SOPs, and durable business context.
Use for
Store what the business accepts as true.
Qoris organizes memory by customers, accounts, workflows, rooms, timelines, entities, and permissions — helping workers retrieve the right context without leaking sensitive information.
AI workers become valuable when they can act. They become enterprise-ready when those actions are governed. Knox sits in the execution path and checks actions before they happen.
Knox Governs
Action attempted → Knox Decision
Audit proves what happened. Knox decides what is allowed to happen.
Qoris workers can connect to the systems teams already use. Every tool call can be checked by Knox, scoped by permissions, and recorded in Audit.
Read contacts, draft notes, propose updates, route approvals before records change.
Draft messages safely and require approval before external sends.
Check availability, propose meetings, create events under policy.
Review tickets, draft replies, escalate issues, update support workflows.
Expose internal tools to workers and external agents with governed access.
Qoris records the full trail of AI work. When a team asks what happened, Qoris can show the run, the context used, the policy applied, who approved it, what tool was called, and what changed.
Help teams create agents, but leave memory, approvals, runtime, governance, and audit as separate problems.
Combines workers, Harness, Memory, Knox, tools, and audit into one governed system.
Help users ask questions but don't become governed business workers across tools and workflows.
Deploy as governed business capabilities — not chat interfaces.
Automate steps but weren't built for autonomous workers that reason, remember, use tools, and require policy checks.
Built for persistent workers that coordinate subagents, manage memory, and operate 24/7.
Qoris is not where agents chat. Qoris is where AI work is deployed, governed, executed, and recorded.
Start with Qoris Workers, deploy dedicated worker containers, or connect the agents you already use.
Qoris OS gives teams a governed foundation for AI workers in production.