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Orchestrate AI workflows with natural language, connect 600+ tools

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Tracked since2026
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The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Simplifies complex AI workflow creation through natural language prompts.

Biggest con

Reliance on credit system for usage might require careful monitoring for cost management.

TL;DR - ModuleX

  • Transforms natural language prompts into editable AI workflow graphs.
  • Integrates with over 600 tools and various data sources, including vector databases and company knowledge.
  • Enables execution of AI workflows via chat, API, or SDK for flexible automation.
Pricing: Free plan available
Best for: Growing teams

What is ModuleX?

Editorial review
ModuleX is an AI workflow orchestration platform that allows users to define complex processes using natural language prompts, which are then transformed into editable workflow graphs. These workflows can integrate with a wide array of tools and various data sources, including vector databases and company knowledge bases, to create intelligent, automated agentic workforces. The platform is designed for individuals and teams looking to automate tasks, enhance AI accuracy with grounded data, and streamline operations. It supports execution via chat, API, or SDK, offering flexibility for different use cases and technical skill levels. ModuleX aims to provide users with control over their AI infrastructure, allowing for custom data connections and tool integrations.

Pros & Cons

Pros

  • Simplifies complex AI workflow creation through natural language prompts.
  • Extensive integration library allows connection to a wide range of popular tools and services.
  • Supports bringing your own data and vector databases for enhanced AI grounding and accuracy.
  • Offers flexible execution methods (chat, API, SDK) to suit different operational needs.
  • Provides team collaboration and advanced analytics for scaling automation.

Cons

  • Reliance on credit system for usage might require careful monitoring for cost management.
  • Advanced features like self-hosting and SSO are limited to higher-tier plans.

Key Features

AI Workflow ComposerVisual Workflow Graph EditorConnects to 600+ tools (e.g., Google Drive, HubSpot, Slack, OpenAI, Anthropic)Integrates with Vector Databases (ModuleX DB, Qdrant, Pinecone, Weaviate, MongoDB Atlas)Connects to company knowledge bases for RAG (Retrieval Augmented Generation)Workflow execution via chat, API, or SDKTeam collaboration featuresAdvanced analytics and usage tracking

Pricing Plans

Free Trial

Pricing checked Jul 6, 2026

Free

Free

  • 300 credits (trial)
  • 1 credit = $0.01
  • Solo workspace
  • Community support
  • 10 runs / min Workflow Execution
  • 10 / min API Rate Limit
  • 600+ tools Integrations & Tools
  • 1 GB Storage

Pro

$25 / month

  • 5,000/mo credits
  • 1 credit = $0.01
  • Invite teammates
  • Discord community support
  • 150 runs / min Workflow Execution
  • 1,000 runs async Workflow Execution
  • 100 / min API Rate Limit
  • 600+ tools Integrations & Tools

Max

$100 / month

  • 20,000/mo credits
  • 1 credit = $0.01
  • Invite teammates
  • Advanced analytics
  • Early access to advanced features
  • Email & Discord community support
  • 500 runs / min Workflow Execution
  • 4,000 runs async Workflow Execution

Enterprise

Contact us

  • Custom credits
  • Invite teammates
  • Large-scale operations
  • Custom rate limits
  • Advanced analytics
  • Onboarding assistance
  • Dedicated Slack channel
  • Custom Workflow Execution

How ModuleX's pricing compares

At $25/mo, ModuleX is mid-range of its 4 direct competitors ($10 to $59/mo across the set).

$10.59
$19.99
ModuleX
$25
$59

Entry paid plan, monthly. Pricing checked Jul 6, 2026.

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ModuleX FAQ

How does ModuleX convert a prompt into a workflow?

ModuleX uses AI to interpret a natural language description of a process and automatically generates an editable workflow graph. This graph visually represents the steps, tools, and agents involved, which can then be refined by the user.

What types of data sources can be connected to ModuleX for RAG?

ModuleX can connect to various data sources to provide relevant context for AI responses, including documents, guides, internal company data, and integrations with services like Google Drive. It also supports native ModuleX DB or external vector databases such as Qdrant, Pinecone, Weaviate, and MongoDB Atlas.

Can I use my own API keys for AI models or other integrations?

Yes, ModuleX supports bringing your own API keys (BYOK) for various integrations, including AI models from providers like OpenAI and Anthropic. This allows users to manage their own usage and costs directly with those services.

What are the different ways to run an AI workflow created in ModuleX?

Workflows can be executed in multiple ways: directly from a chat interface, programmatically via an API, or through an SDK for integration into custom applications and scripts.

Does ModuleX offer features for team collaboration on workflows?

Yes, ModuleX includes features for team collaboration, allowing multiple users to work together on building and managing AI workflows. Higher-tier plans also offer dedicated support channels for teams.

What is the purpose of the 'credits' system in ModuleX pricing?

The credits system in ModuleX is used to measure and bill for workflow execution and resource consumption. Different actions and operations within the platform consume a certain number of credits, with various plans offering different monthly credit allowances.

How does ModuleX ensure the accuracy and relevance of AI responses?

ModuleX utilizes Retrieval Augmented Generation (RAG) by connecting to your company's knowledge base and data sources. This allows the AI to retrieve and incorporate relevant, grounded context into its responses, ensuring they are accurate and specific to your business.

Are there any options for self-hosting or on-premise deployment?

ModuleX offers a self-hosted option, which is typically available for Enterprise-level plans, providing organizations with greater control over their infrastructure and data.

Source: modulex.dev

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