Introduction
Confluye is an AI-native workflow platform for building, running, and operating automations across your organization.
Confluye lets you design workflows on a visual canvas, run them on demand or on a schedule, and operate them with full observability. This documentation covers building workflows, the feature set, platform administration, and the REST API.
What is Confluye
Confluye is an AI-native workflow platform. You compose workflows from blocks — triggers, AI agents, logic, data, and integrations — on a visual canvas, then run them manually, on a schedule, from a webhook, or via the API. AI is a first-class citizen: agent blocks use your own model keys (BYOK), knowledge bases ground answers in your content, and the Workflow Copilot helps you build and debug. It is built for teams, with workspaces, roles, credentials, audit logs, and enterprise SSO/SCIM.
Core concepts
The unit of isolation. It owns your workflows, data, credentials, and members.
A graph of blocks that runs from a trigger to an output.
A single step — trigger, AI agent, logic, data, or integration.
One execution of a workflow, with per-node status and output.
A cron trigger that runs a deployed workflow automatically.
Indexed content that grounds AI blocks via retrieval (RAG).
Personal context that follows you across agent conversations in one workspace.
Child agents that work in parallel with reduced authority and fixed limits.
How the docs are organized
- Getting Started — orientation, a first end-to-end workflow, and a quick reference.
- Building Workflows — the canvas, the block reference, running and debugging, deploying, and versions with git review.
- Features — the Command Center, Copilot, private memory, bounded subagents, knowledge bases, databases and SQL, docs, scheduled tasks, logs, mailer, skills, custom tools, and MCP.
- Platform — organizations and workspaces, enterprise controls, API keys, BYOK, and keyboard shortcuts.
- API Reference — authenticating and calling the
/api/v1REST API by domain.