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Enterprise agent studio
Best for ops and IT teams who will burn Free’s 500 runs on two projects and then talk to sales for Enterprise seats,…
Verified 22 Oct 2026 · Asia/Shanghai
Pricing. Free — $0/month.
Decide
Full notes belowStackAI Academy #1 — Platform Overview — official getting-started — official StackAI channel. Official StackAI Academy platform overview.

No-code agent studio
Best for Code / Agents

Visual studio for LLM apps: workflows, RAG, and agents
Best for Code / Agents · Open-source / Self-host

Fair-code workflow and AI-agent builder: self-host Community Edition or run n8n Cloud with…
Best for Code / Agents · Productivity
StackAI is an enterprise agent studio: drop nodes on a canvas, attach a knowledge base, then publish the same workflow as a chat, form, Slack bot, or API. Use it when the job is a governed internal agent IT will actually deploy, not when you need n8n-style node spaghetti you host yourself.
What makes it unique: the cover is StackAI’s own homepage product still — sidebar (Knowledge Base, Connections, Published Agents) plus a workflow graph on the canvas — not a pricing card.
Agent Builder / Quick Start is a shorter path onto this canvas, not a second product. The AI copilot (“refine with AI”) sits on the same builder. Runs are the meter. Model names are SKU.
Best fit: ops and IT teams who will burn Free’s 500 runs on two projects and then talk to sales for Enterprise seats, SSO, and on-prem — there is no public mid-tier dollar card.
Verified 2026-10-22 (Asia/Shanghai) from stack-ai.com/pricing. Two public cards.
Do not invent a Pro $X row. The compare table we opened is Free vs Enterprise only.
Official StackAI channel video: StackAI Academy #1 — Platform Overview (oEmbed author: StackAI).
Written path: Building Your First Workflow plus Pricing.
Catalog row curated for AI Tools Nav. Cover is StackAI’s official homepage workflow canvas (Knowledge Base sidebar + agent graph). Dollars checked on stack-ai.com/pricing (Free $0 / 500 runs / 2 projects; Enterprise custom). Tutorial oEmbed author: StackAI.
2026-10-22 (Asia/Shanghai) editorial check.