QORIS

The operating systemfor governed AI workers

Deploy AI workers, run dedicated worker containers, or connect external agents to Qoris — Memory, Knox governance, tools, and audit — all from one control plane.

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Not a chatbot. Not a wrapper. Qoris is the infrastructure layer for running AI work safely in production.

Everything an AI worker needs to run real work

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.

  • Workers

    Deploy business-ready AI workers for sales, support, operations, compliance, reporting, and customer workflows.

  • Harness

    Coordinate multi-agent workflows using default and custom subagents inside each worker.

  • Memory

    Give workers fast recall and verified long-term memory without turning every interaction into untrusted truth.

  • Knox

    Govern actions before execution with policies, approvals, blocking, and decision traces.

  • Tools / MCP

    Connect workers to CRMs, calendars, email, helpdesks, internal APIs, MCP servers, and business systems.

  • Audit

    Record every action, memory update, tool call, approval, and Knox decision in a unified system of record.

Run AI workers your way

Qoris supports hosted workers, dedicated worker containers, and external agent stacks — so teams can start fast without giving up control.

  • Fastest to deploy

    Deploy Qoris Workers

    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.

    Explore workers →

  • Most control

    Run Worker Containers

    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.

    Learn about containers →

  • Bring your own

    Connect External Agents

    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.

    View integrations →

Deploy workers around business outcomes, not prompts

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.

  • Sales Follow-Up Worker

    Qualifies leads, drafts follow-ups, schedules meetings, and updates CRM with governed execution.

  • Support Resolution Worker

    Resolves customer issues using approved knowledge, customer history, escalation rules, and approval controls.

  • Compliance Monitor

    Reviews actions, flags risk, applies policy, and creates auditable compliance decisions.

  • Company Copilot

    Answers internal questions from approved knowledge and governed memory across your workspace.

Explore the Worker Library →

Every worker runs like a coordinated agent team

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.

  1. Worker receives task
  2. Planner breaks down the workflow
  3. Researcher retrieves memory, knowledge, tools
  4. Executor prepares the action
  5. Knox checks before execution
  6. Audit records the trail

Memory that separates recall from truth

AI workers need memory, but not every past interaction should become trusted truth. Qoris Memory combines fast semantic recall with verified long-term memory.

Qoris organizes memory by customers, accounts, workflows, rooms, timelines, entities, and permissions — helping workers retrieve the right context without leaking sensitive information.

Learn about Qoris 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.

Every governed action checked before it executes

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

  • External emails
  • CRM updates
  • Tool calls
  • Memory reads and writes
  • Refunds and credits
  • Calendar bookings
  • Policy-sensitive answers
  • Browser / computer actions
  • External agent actions

Audit proves what happened. Knox decides what is allowed to happen.

Explore Knox →

Action attempted → Knox Decision

  • Allowed
  • Review
  • Blocked

Give workers safe access to real systems

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.

  • CRM

    Read contacts, draft notes, propose updates, route approvals before records change.

  • Email

    Draft messages safely and require approval before external sends.

  • Calendar

    Check availability, propose meetings, create events under policy.

  • Helpdesk

    Review tickets, draft replies, escalate issues, update support workflows.

  • MCP Servers

    Expose internal tools to workers and external agents with governed access.

Trace every action, decision, memory update, and tool call

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.

Run trailExample
  1. Worker run started
  2. Memory pulled
  3. Knowledge retrieved
  4. Tool permission checked
  5. Knox decision recorded
  6. Approval requested
  7. Action executed
  8. Memory update proposed
  9. Audit receipt written
View Audit Architecture →

Qoris is built for AI work in production

Generic agent builders

Help teams create agents, but leave memory, approvals, runtime, governance, and audit as separate problems.

Qoris OS

Combines workers, Harness, Memory, Knox, tools, and audit into one governed system.

Chat-based assistants

Help users ask questions but don't become governed business workers across tools and workflows.

Qoris Workers

Deploy as governed business capabilities — not chat interfaces.

Workflow automation tools

Automate steps but weren't built for autonomous workers that reason, remember, use tools, and require policy checks.

Qoris Harness

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.

Run AI workers with memory, tools, governance, and audit built in

Start with Qoris Workers, deploy dedicated worker containers, or connect the agents you already use.

Book a DemoExplore Worker Templates

Qoris OS gives teams a governed foundation for AI workers in production.