Projects
A Project is your central workspace. It groups Teams, Workflows, Tools, and documents under a single initiative.
Project Insights
The Projects Overview page is a dashboard that surfaces operational health across all of your projects. Rather than requiring you to open each project individually, it aggregates activity, cost, and performance data into a single view with at-a-glance indicators.
Teams & Agents
5 items
Workflows
10 items
Running Workflows
Once you've set up a project with a team, agents, and a workflow, you're ready to execute it.
Artifacts
Artifacts are the polished deliverable of a workflow, produced by agents during execution. They come in two kinds:
Presentation Decks
A presentation deck is one of the two kinds of deliverable an ORQO workflow can produce. Where a document artifact is a paginated report, brief, or memo, a deck is a set of 16:9 slides -- the kind of presentation a founder would actually stand up and present.
LLM Configuration
LLM configurations link a model with a credential — telling the platform which AI model to use and how to authenticate with its provider.
The Model Picker
The model picker is where you choose which large language model an LLM configuration uses. It opens in a drawer when you add or edit a configuration under Settings → LLMs.
LLM Providers
ORQO supports multiple LLM providers out of the box — from cloud APIs to fully local inference. You can mix providers within a single team, assigning different models to different agents based on cost, capability, or privacy requirements.
Data Privacy
When your agents run, their prompts and the model's responses are sent to a large language model provider. ORQO is built so that, by default, this happens only under a Zero Data Retention guarantee — your data is processed to answer the request and nothing more.
Credentials
Credentials store encrypted secrets — API keys, passwords, OAuth tokens, SSH keys — that agents and tools need to authenticate with external services.
Tools
Tools give agents the ability to act — search the web, query databases, call APIs, execute code, and more. ORQO has four distinct tool layers, each serving a different purpose.
Runtimes
A runtime is an execution environment where agents run tools that interact with files, execute code, or perform shell operations. Runtimes provide sandboxed access to computing resources -- your own servers, cloud sandboxes, or directories on your local machine.
MCP Servers
MCP (Model Context Protocol) servers provide tools to your agents over a standardized protocol. Connecting an MCP server gives your agents access to its tools — database queries, API calls, file operations, code execution, and more.