orbflow-dev

orbflow-dev / orbflow

Public

Distributed workflow automation engine built for AI-native workloads.

10
2
100% credibility
Found Apr 15, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

Orbflow is a self-hosted visual workflow builder for creating, running, and monitoring AI-powered automations with team collaboration, budgeting, and alerting features.

How It Works

1
🚀 Get Orbflow running

Download and launch the app on your computer with a few simple steps to see your visual workflow builder.

2
📋 Pick a starting point

Choose a ready-made template for common tasks or start with a blank canvas to build your own automation.

3
🎨 Build visually

Drag colorful blocks onto the canvas, connect them with lines, and configure each step like chatting with AI or calling services.

4
▶️ Run your workflow

Hit play to start your automation and watch it flow through each step in real time.

5
📊 Track performance

See live results, costs, speeds, and set alerts or budgets to stay in control.

6
Work solo or with team
🙋‍♂️
Team review

Share a change request for others to approve before going live.

✅
Go solo

Save and run your workflow right away.

✨ Automations that just work

Your workflows run reliably, with full visibility into every step, costs, and team changes.

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Star Growth

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AI-Generated Review

What is orbflow?

Orbflow is a distributed workflow engine for building and running AI-native automations visually on a drag-and-drop canvas. It connects APIs, AI models, schedules, webhooks, and human approvals into reliable DAGs, with built-in monitoring for runs, costs, and failures—all in one app powered by Rust backend, Next.js frontend, PostgreSQL persistence, and NATS for task routing. Teams get a ComfyUI distributed workflow alternative that handles distributed workflow orchestration without manual glue code.

Why is it gaining traction?

It stands out with AI-specific nodes for chat, extraction, classification, and multi-provider support (OpenAI, Anthropic, Google), plus real-time streaming and MCP tool integration for github distributed ai setups. The plugin system via JSON-RPC/gRPC lets you extend with Python or TypeScript SDKs from a marketplace, while PR-style collaboration, RBAC, budgets, and alerts add enterprise controls missing in basic distributed workflows.jl or Jupyter tools. Developers hook on the quick local setup via Docker Compose and justfile for dev/prod parity.

Who should use this?

Automation engineers scaling ComfyUI distributed github pipelines to teams, AI ops folks needing distributed workflow system integration with cost guards, or backend devs replacing git distributed workflow scripts with visual orchestration. Ideal for distributed systems pdf github readers prototyping ai-native distributed workflows beyond single-machine limits.

Verdict

Try it for AI-heavy automations if you need distributed workflow meaning in practice—solid quickstart and docs make the 10 stars and 1.0% credibility score forgivable for an early Rust project. Skip for production until more adoption and battle-tested scale.

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