vivekg13186

vivekg13186 / Daisy-workflow

Public

A low code workflow automation application

ai-agents ai-automation ai-tools ai-workflow automation
80
3
100% credibility
Found May 12, 2026 at 80 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

Daisy is a self-hosted low-code workflow automation platform featuring a visual editor, pluggable actions, AI assistance, triggers, and production-grade features like retries, encryption, and audit logging.

How It Works

1
🔍 Discover Daisy

You hear about Daisy, a friendly tool that lets you automate daily tasks like a magic helper without needing to code.

2
🚀 Start it up

Download and launch Daisy on your computer with simple steps, and it comes alive in your web browser.

3
🎨 Build your first flow

Use the colorful visual editor to drag and drop actions, connecting things like emails or files just like building with blocks.

4
🔌 Add smart helpers

Plug in ready-made actions for AI thinking, data lookups, or sending messages, and watch your flow grow powerful.

5
Make it run automatically
▶️
Run by hand

Click a button to test and run your flow whenever you want.

⏰
Set smart triggers

Let it start on its own from schedules, emails, or web signals.

✅ Your automations are working!

Sit back as Daisy handles your tasks quietly in the background, freeing you up for what matters.

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Star Growth

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AI-Generated Review

What is Daisy-workflow?

Daisy-workflow is a self-hosted, low code workflow automation platform built in JavaScript with a visual editor and typed DSL for defining directed acyclic graphs (DAGs). Users chain actions via plugins—like HTTP requests, SQL queries, email sends, or AI agents—handling parallel execution, retries, batch fan-out, and FEEL expressions for dynamic inputs. It runs on Postgres and Redis, with Docker Compose for quick deploys, OIDC auth, encrypted configs, and triggers for schedules, webhooks, email, or MQTT.

Why is it gaining traction?

As a GitHub low code platform, it stands out for production readiness: audit logs, telemetry, automated backups to S3, and TLS via Caddy, without vendor lock-in like Zapier. The AI assistant generates daisy chain workflows from prompts, proposing graphs or triggers, while durable executions let you resume, skip, or respond to failed nodes. Low latency execution and plugin extensibility make it a no-fuss low code no code plattform for custom automations.

Who should use this?

DevOps teams building internal tools for data pipelines, API integrations, or alerts without spinning up full apps. Backend developers needing a low code entwicklung alternative to Airflow for lighter daisy workflows. Small ops squads wanting self-hosted low code tools with GitHub low profile deploys.

Verdict

Solid for early adopters—80 stars show niche interest, but 1.0% credibility score flags its youth; wiki docs are thorough, Docker setups polished. Try it if you need a low code platform now, but watch for community growth.

(198 words)

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