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Building ETL Pipelines Without Code
Tags: guide, workflow Author: AgentBrain Team Published: 2026-02-10 Read time: 6 minutes
Source note: the canonical article body is in active drafting on agentbrain.sh and currently exists as a stub. The summary below captures the topic; this page will be updated with the full body when it lands.
What the Visual Workflow Editor Does
A drag-and-drop builder for multi-step data sync and transformation pipelines. Shipped in v0.9.0 (2026-02-15) with 10+ operators and cron scheduling.
Available Operators
- Source operators: read from a configured data connector
- Transform operators: filter, map, enrich, deduplicate
- AI operators: agent call, classification, embedding generation
- Sink operators: write to a Knowledge Vault collection, send to a channel, call a webhook
- Control operators: conditional branch, parallel fan-out, human approval gate
Trigger Modes
- Cron: on a schedule (every hour, daily at 03:00, etc.)
- Webhook: triggered by external events
- Manual: run on demand from the UI
- Event: triggered by other workflows or agent actions
Typical Use Cases
| Pattern | Source → Sink |
|---|---|
| Knowledge refresh | Notion → Knowledge Vault collection |
| Daily report | PostgreSQL → Email summary |
| Trigger response | Webhook → Agent → Slack |
| Cross-system sync | ClickUp → ERP |
How This Differs From Generic Workflow Tools
- Native AgentBrain RBAC: workflows inherit the creator's permission scope
- Audit-logged: every operator run is captured in the same audit log as agent actions
- Agent-aware: agent operators are first-class and inherit the same identity and routing rules
Get Started
- Open Workflows → New in the AgentBrain console
- Drag operators onto the canvas
- Configure each operator (the right-hand panel shows the inputs)
- Wire them together
- Test with the run-once button
- Schedule via the trigger panel
Related
- Platform: Orchestration
- Pricing: Enterprise for full Agentic Workflow availability
- Changelog for the v0.9.0 release notes