StackAINo-code platform for building and deploying AI agents that automate enterprise workflows.

4.6 (5)

Reviewed by Daniel Nikulshyn·Updated May 2026

No-Code Enterprise AI Agents Workflow Automation RAG Integrations Drag-and-Drop

Overview

StackAI is a no-code platform that lets teams design, test, and deploy AI agents to automate business tasks across departments like operations, finance, HR, and customer support. Users assemble agents visually by connecting large language models, data sources, and tools through a drag-and-drop interface. The platform supports integrations with common enterprise systems and document stores, enabling agents to read from internal knowledge bases, call APIs, and produce structured outputs. Built-in evaluation, logging, and access controls aim to make agents reliable enough for production use in regulated environments. StackAI targets organizations that want to move beyond prototypes without hiring a dedicated AI engineering team, offering hosted deployment, role-based permissions, and compliance options suitable for business adoption.

Key features

Drag-and-drop agent builder
Connectors to databases, APIs, and document sources
Support for multiple LLM providers
Knowledge base and RAG capabilities
Deployment as chatbots, forms, or API endpoints
Team collaboration and permission management

Pricing

Model: Free
Category: AI Infrastructure & MLOps
Rating: 4.6 / 5 (5)

Use cases

Automate Internal Support Chatbots

Deploy AI agents connected to internal knowledge bases to answer HR, IT, or operations questions from employees through chatbot or API endpoints.

Streamline Finance Document Processing

Build agents that read from document stores and APIs to extract, validate, and structure financial data, reducing manual review work.

Customer Support Triage Agents

Create agents that classify incoming requests, pull relevant context from databases, and draft responses or escalate cases to human reps.

Cross-Department Workflow Prototyping

Use the drag-and-drop builder to quickly prototype, evaluate, and deploy AI workflows across teams without writing code.

Pros & Cons

Pros

Visual builder removes the need to code
Wide range of LLM and tool integrations
Enterprise features like SSO and access controls
Built-in logging and evaluation for agents

Cons

Advanced customization may still require technical skill
Pricing can scale quickly for heavy usage
Complex workflows can become hard to debug visually

Reviews

4.6

Average from 5 ratings.

Margaret Whitfield

May 9, 2026

Does the job

Pretty happy overall. Drag-and-drop agent builder just works and wide range of LLM and tool integrations. Pricing can scale quickly for heavy usage can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Frank Müller

Dec 23, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: knowledge base and RAG capabilities and built-in logging and evaluation for agents. Where it lags: complex workflows can become hard to debug visually. On balance the feature set — especially drag-and-drop agent builder — justifies the 5 stars for our use case.

Wei Chen

Nov 28, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is support for multiple LLM providers — handled better than most — and enterprise features like SSO and access controls. Complex workflows can become hard to debug visually is my one real gripe. Worth the time if this is your use case.

Mei-Ling Wong

Nov 5, 2025

Use it every day

Honestly didn't expect to like it this much. Deployment as chatbots, forms, or API endpoints is exactly what I needed, and built-in logging and evaluation for agents. but I reach for it almost every day now and it just clicks.

Priya Nair

Nov 2, 2025

Use it every day

Honestly didn't expect to like it this much. Team collaboration and permission management is exactly what I needed, and enterprise features like SSO and access controls. but I reach for it almost every day now and it just clicks.