workflowstacks
ai-agent

suna: AI Command Center that streamlines company decisions

Launch an AI‑powered command hub to coordinate LLM agents, ideal for founders building data‑driven products. Backed by 20k+ GitHub stars.
intermediate⏱ 1-2 hours💵 Free + LLM API costs
20,275 stars+19★ this week3,436 forksTypeScriptGuide quality 8/10 · reviewed Oct 5Updated 10/14/2026100% free · open source
What it is

You use Suna to build your own AI command center, a hub that automates tasks with AI.

Real use case example

"A founder wants to automate user onboarding: on day 3, send a survey via Mailchimp. First, connect Suna to Stripe, then trigger the survey via Mailchimp. The outcome is improved user engagement and higher survey completion rates."

Best insideClaude DesktopClaude APIGemini
When to use it
  • •When you need to automate repetitive tasks using AI
  • •When you want to integrate AI capabilities into your startup's operations
  • •When you need a centralized platform to manage multiple AI agents
Ready-to-paste prompt
Create a new AI agent with a specific task, such as 'npm run create:agent --name=myAgent --task=intent Recognition'
Heads up: Ensure you have Node.js (16 or higher) installed on your system, as Suna uses TypeScript and requires a compatible Node.js version to run
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/suna && curl -fsSL https://workflowstacks.com/api/skills/suna/claude-skill -o ~/.claude/skills/suna/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How suna: AI Command Center that streamlines company decisions works
Codeflow
Free to inspect

Suna: AI Command Center that streamlines company decisions is a very large TypeScript project (~1.2M lines across 6027 code files, plus 816 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Other license, has a test suite.

Size
Very large codebase
~1.2M lines · 6027 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Node.js
No API keys detected
TypeScript 95%MDX 1%Shell 1%PLpgSQL 1%HCL 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    package.json
    Dependencies and the commands it exposes
What's in each folder
apps/web/Frontend / UI3024 files
apps/api/Backend / API1704 files
packages/Sub-packages / plugins1484 files
apps/cli/Command-line entry points248 files
docs/Documentation24 files
apps/mobile/Package845 files
apps/kortix-sandbox-agent-server/Package170 files
apps/whitelabel-demo/Package160 files
READMEHas testsDocumentedCI checksOther licenseUpdated this month
Quick Actions
Details
Creator
kortix-ai
Language
TypeScript
Category
ai-agent
Published
10/5/2024

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/suna.svg)](https://workflowstacks.com/skills/suna?utm_source=github&utm_medium=badge)
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