Why Darby
Serious AI work deserves a serious workspace.
Darby combines a full AI workspace—model choice, compare mode, multimodal input, voice, and optional local models—with Darby Labs: a graph-shaped canvas where steps can run in parallel and outputs are artifacts, not just chat.
Threads hide structure
Linear chat makes parallel work, handoffs, and dependencies hard to see and reuse.
Delegation alone is not enough
Pure “do it for me” agents can obscure reasoning and model choice—power users need visibility.
Models multiply
Power users juggle providers and modalities; they need comparison, chaining, and orchestration without becoming full-time prompt engineers.
Everythinginonenarrative
Canvas-native orchestration meets deliverable-oriented execution—inside a workspace built for people who live in models all day.
Darby Labs canvas
Infinite canvas with typed nodes, templates, and connections—research, writing, data, apps, autonomous agents, and live web in one place.
Agentic execution
Labs agents with web, files, sandboxed shell and Python, HTTP, charts, documents, sub-agents, and ask-user pauses when intent is unclear.
Ship outcomes
ZIP exports, GitHub push, execute API, webhooks, Slack, MCP, and schedules.
Workspace
Choose models, run compare and multi-model workflows, work multimodally, and use voice—cloud providers plus optional local models when you configure them.
Skill templates
One-click starters for competitive analysis, pitch decks, SEO posts, data pipelines, full-stack blueprints, market reports, and more.
Repeatability
Templates, saved canvases, and version history turn one-off wins into playbooks you reopen and refine.
Integrationsandautomation
Connect Darby Labs to the rest of your stack—APIs, webhooks, chat tools, and automation.
REST API
Zapier-style webhooks
Slack
MCP connectors
GitHub
Schedules
“We're saving real time across different kinds of work—briefs, analysis, follow-ups—without losing the thread.”
Early user
Questionsandanswers
Quick answers about Darby and Darby Labs.
Darby Labs is the agentic workbench: an infinite canvas where you place nodes—research, writing, data, slides, apps, web, and Labs agents—and run multi-step workflows with visible progress and exports.
The Darby app includes model selection, compare workflows, multimodal input, voice, and optional local models. What you see depends on your account and configuration—use the live product as the source of truth.
Typical outcomes include file bundles (ZIP), GitHub pushes, and integration-driven handoffs via the execute API and webhooks.
This frontend does not implement backend security controls; product policy and enterprise options are handled outside this demo site.
Get started with Darby.
Structure complex AI work like a project—then ship outcomes from Darby Labs.