IntelliWise — Build AI Agents Visually
Visual Agent Builder

Wire up
AI agents
without code.

IntelliWise is a drag-and-drop canvas for building, testing, and shipping LLM-powered agents — chat models, tools, memory, and vector stores, connected as a live pipeline.

Trigger chat.input Tool web.search Vector DB qdrant Memory buffer Agent Core reasoning loop llm: claude-sonnet Output stream
Building Blocks

Every agent is a graph

Drop nodes on the canvas, connect the ports, and IntelliWise handles the execution order, context passing, and streaming — no orchestration code to write.

💬

Chat Models

Swap between hosted and self-hosted models mid-flow — Claude, GPT, or a local Ollama endpoint.

🧰

Tools

Give the agent hands: web search, calculators, API calls, or custom functions it can invoke mid-reasoning.

🧠

Memory

Buffer, summary, or vector-backed memory nodes keep context alive across turns and sessions.

📚

Vector Stores

Wire in Qdrant, Chroma, or Postgres/pgvector for retrieval-augmented answers grounded in your data.

Workflow

From canvas to production

01

Drag nodes

Start from a trigger, add reasoning, tools, and memory nodes onto an infinite canvas.

02

Connect ports

Draw wires between outputs and inputs — IntelliWise validates types and shows the data as it flows.

03

Deploy as an API

Every flow ships instantly as a REST endpoint or embeddable chat widget, no separate deploy step.

One Call Away

Call your flow like any API

Every agent you build gets a stable endpoint. Point any app at it — no SDK required.

// POST to your deployed flow
fetch("https://intelliwise.intellicaai.space/api/flow/support-agent", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({ question: "Summarize today's tickets" })
});
Get Started

Your first agent
takes ten minutes

Open the canvas, drop in a trigger and a chat model, wire them together, and hit deploy.

Open the Canvas
IntelliWise — part of the IntelliCAI platform