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What is Splox?

Splox is a visual workflow automation platform where AI agents work together like a team. Build complex automations by connecting nodes - no coding required, but powerful enough for developers.

How it Works

1

Design Your Workflow

Drag and drop nodes onto the canvas. Each node is a step: call an AI agent, run code, fetch data, or trigger an integration.
2

Connect the Pieces

Draw edges between nodes to define the flow. Add conditional logic, loops, and parallel execution.
3

Deploy & Monitor

Run workflows manually, on a schedule, or trigger them via webhooks. Watch execution in real-time.

Real Example: Customer Support Automation

Here’s a workflow that handles support tickets automatically: What happens:
  1. Webhook receives new support ticket
  2. AI agent classifies urgency and topic
  3. If urgent → Slack alert + Jira ticket
  4. If normal → AI generates response, sends email
  5. Everything logged to your database
Before: 20 minutes per ticket (manual)
After: 30 seconds (fully automated)

Why Choose Splox?

Unlike traditional tools, Splox lets multiple AI agents collaborate. One agent gathers data, another analyzes it, a third makes decisions - all in one workflow.Example: Content pipeline where one agent researches, another writes, and a third edits.
Visual editor for simplicity. But when you need custom logic, drop into Python or JavaScript with our E2B sandbox - no servers to manage.Example: Simple automations stay visual, complex data transformations use code.
Not just API calls - full OAuth flows, dynamic forms, webhooks, and real-time triggers. Connect to Slack, Google, Salesforce, databases, and more.Example: Pull data from Airtable, process with AI, push to Salesforce - all native.
Agents remember context across conversations. Build chatbots that recall previous interactions and learn from feedback.Example: Customer support bot that knows ticket history.

What You Can Build

AI Customer Support

Multi-agent systems that classify tickets, generate responses, and escalate complex issues to humans.

Data Pipelines

Extract, transform, and sync data across systems. Enrich with AI, validate, and route intelligently.

Content Generation

Research topics, generate drafts, fact-check, edit, and publish - with multiple AI agents handling each step.

Sales Automation

Qualify leads, personalize outreach, schedule follow-ups, and update CRM - all on autopilot.

DevOps Workflows

Monitor systems, detect anomalies, auto-remediate issues, and notify teams when human intervention is needed.

Research Assistant

Gather information from multiple sources, synthesize findings, and generate comprehensive reports.

Who Uses Splox?

AI Engineers
Build production multi-agent systems without infrastructure headaches. Focus on agent design, not DevOps.
Developers
Automate internal tools and workflows faster than building from scratch. Write code when needed, use visual editor for the rest.
Operations Teams
Connect existing tools without waiting for engineering. Automate repetitive tasks in minutes, not weeks.
Business Teams
Automate processes that currently require manual work or jumping between tools.

Splox vs Alternatives

FeatureSploxZapiern8nMake
Multi-agent AI✅ Native❌ Limited❌ Single❌ Limited
Code execution✅ E2B sandbox❌ No✅ Limited❌ No
Workflow versioning✅ Git-like❌ No⚠️ Basic❌ No
Memory management✅ Persistent❌ No❌ No❌ No
Self-hosted✅ Coming❌ No✅ Yes❌ No
MCP support✅ Yes❌ No❌ No❌ No

Architecture

Built for scale and reliability: Frontend: Next.js + ReactFlow - Modern React app with visual workflow editor, real-time updates via SSE Backend: Go + PostgreSQL - High-performance API with strong typing, comprehensive validation, and ACID transactions Queue System: Redis + Asynq - Reliable task processing with retries, prioritization, and dead-letter handling Sandbox: E2B - Secure code execution in isolated containers with file system access and npm/pip support Integrations: Platform Adapters - OAuth flows, webhooks, dynamic forms, and API clients for 500+ services

Node Types

Build workflows with these building blocks:
  • LLM Node - Call AI models (OpenAI, Anthropic, etc.) with streaming, tools, and memory
  • Tool Node - Execute integrations, custom functions, or MCP tools
  • Switch Node - Conditional branching based on data or AI decisions
  • Memory Node - Store and retrieve conversation context
  • Merge Node - Combine data from multiple sources
  • Subflow Node - Reusable nested workflows
  • Start/End Nodes - Define workflow entry and exit points

Getting Started

Beta Access: Splox is currently in beta. Sign up to get early access and help shape the product.

Next Steps

Ready to build?
  1. Quickstart Guide - Create your first workflow
  2. Workflows - Learn workflow fundamentals
  3. Nodes - Understand node types
  4. Integrations - Connect your tools
  5. Sandbox - Execute custom code