Documentation

This documentation covers platform concepts, building blocks, and developer interfaces for QORIS as the AI operating system and control plane.

Learn how to build on QORIS, integrate with the platform, and leverage memory, governance, orchestration, and reasoning primitives in your applications.

Core Concepts

Thinking Agent OS (Reasoning)

The reasoning and planning layer that enables agents to interpret goals, evaluate context, and form execution plans. The OS provides the abstraction that allows agents to reason about tasks and outcomes without being tied to specific models or execution mechanisms.

Memory & Context Engine (System of Record)

The persistent, long-term memory system that operates as the system of record for all agent activity. Memory persists independently of models and tools, enabling agents to retain context, decisions, and knowledge across sessions and time.

Agent Orchestration (Execution)

The coordination layer that manages how agents work together, how tasks are delegated, and how multi-step processes are executed. Orchestration ensures reliable execution even when individual components fail, managing dependencies, retries, and state transitions.

Governance & Policies (Constraints)

The constraints, approvals, and auditability layer that ensures agents operate within defined boundaries. Governance operates at the control plane level, enforcing policies uniformly across all agents regardless of which models or tools they use.

Guides

Build your first governed agent workflow

Coming soon

Persist and recall long-term context safely

Coming soon

Orchestrate multi-step tasks with approvals

Coming soon

Use policies to constrain execution

Coming soon

Observability and audit trails

Coming soon