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What is ORQO?

ORQO is an AI agent orchestration platform. It lets you assemble teams of AI agents, each with a defined role and set of tools, and run them through structured multi-stage workflows.

The core idea​

Instead of prompting a single LLM and hoping for the best, ORQO lets you break complex tasks into stages and assign specialized agents to each one. Agents collaborate within a shared context, hand off work between stages, and produce structured output.

Think of it as a production line for AI work — each station (stage) has the right specialists (agents) with the right tools, working in sequence toward a final result.

How it works​

┌─────────────┐     ┌─────────────┐     ┌─────────────┐
│   Stage 1   │ ──▶ │   Stage 2   │ ──▶ │   Stage 3   │
│  Research   │     │   Analyze   │     │   Publish   │
│  Agent A, B │     │   Agent C   │     │   Agent D   │
└─────────────┘     └─────────────┘     └─────────────┘
  1. You create a Project to organize your work.
  2. You build a Team of agents, each with a role, tools, and an LLM configuration.
  3. You define a Workflow — an ordered sequence of stages with agent assignments.
  4. You run the workflow. The engine executes each stage, manages agent context, and produces results.

What makes ORQO different​

  • Multi-agent collaboration — Agents within a stage share context and can build on each other's work.
  • Structured execution — Stages enforce order and separation of concerns, not a free-for-all chat.
  • Tool integration — Agents use real tools (MCP servers, custom tool definitions, Skills) to interact with external systems.
  • Channel delivery — Results can be delivered to Slack, email, webhooks, or any connected App — not just displayed in a dashboard.
  • Bring your own LLM — Connect any provider (OpenAI, Anthropic, Google, and more) with your own API keys.