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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Flow-Like is a locally-operated, open-source workflow automation engine that emphasizes strong typing and allows users to build and execute automation and AI workflows in environments that are self-hosted or offline. By integrating visual, graph-based workflows with deterministic execution, it simplifies the complexities often associated with system maintenance and validation. In contrast to various other tools that depend on untyped JSON, cloud-exclusive backends, or obscure runtime processes, Flow-Like prioritizes explicit and inspectable data flow and execution. This versatility enables workflows to function seamlessly on local machines, private servers, within containers, or on Kubernetes without altering their intended behavior. Built in Rust, the core runtime is optimized for safety, performance, and portability, ensuring it meets high standards. Flow-Like also accommodates event-driven automation, data processing, document ingestion, and AI pipelines, which include typed agent and retrieval-augmented generation (RAG) workflows, utilizing either local or cloud-based models. Ultimately, it is crafted for developers and organizations seeking dependable automation while maintaining comprehensive control over both their data and underlying infrastructure, thereby fostering an environment of transparency and reliability.

Description

Metorial serves as an open-source integration platform tailored for developers, simplifying the processes of creating, deploying, monitoring, and scaling agentic AI applications by linking models to various tools, data sources, and APIs through the Model Context Protocol. With a comprehensive library of over 600 validated MCP “servers,” developers can easily enhance their agents with functionalities such as communication with Slack, Google Calendar, Notion, APIs, databases, or other systems with minimal effort, requiring only a few clicks or a single API call. The serverless architecture of Metorial is designed for scalability, enabling the deployment of MCP servers with just three clicks or an API request, accommodating "zero to millions" of requests, and providing built-in observability features that include extensive logging, tracing, session replay, and error notifications. Developers can also access a complete suite of SDKs, including Python and TypeScript, ensuring that every interaction can be tracked, allowing teams to audit and refine agent performance efficiently. Whether utilized on-premises or through cloud solutions, Metorial guarantees enterprise-level security and supports multi-tenant architectures, making it a versatile choice for a range of applications. This flexibility empowers organizations to tailor the platform to their specific needs while ensuring robust security measures are upheld at all times.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
Asana No 
Atlassian Clover No 
ChatGPT No 
Close No 
Cloudflare No 
DeepSeek No 
Dodo Payments No 
Exa No 
Figma No 
Linear No 
Microsoft Azure No 
Model Context Protocol (MCP) No 
Notion No 
OpenAI No 
QuickBooks Online No 
Semgrep No 
Slack No 
Together AI No 
Zapier No 

Integrations

Amazon Web Services (AWS) Yes 
Asana Yes 
Atlassian Clover Yes 
ChatGPT Yes 
Close Yes 
Cloudflare Yes 
DeepSeek Yes 
Dodo Payments Yes 
Exa Yes 
Figma Yes 
Linear Yes 
Microsoft Azure Yes 
Model Context Protocol (MCP) Yes 
Notion Yes 
OpenAI Yes 
QuickBooks Online Yes 
Semgrep Yes 
Slack Yes 
Together AI Yes 
Zapier Yes 

Pricing Details

$9.99/month
Free Trial No 
Free Version Yes 

Pricing Details

$35 per month
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

TM9657 GmbH

Website

great-co.de

Vendor Details

Company Name

Metorial

Founded

2025

Country

United States

Website

metorial.com

Product Features

Workflow Management

Access Controls/Permissions No 
Approval Process Control No 
Business Process Automation No 
Calendar Management No 
Compliance Tracking No 
Configurable Workflow No 
Customizable Dashboard No 
Document Management No 
Forms Management No 
Graphical Workflow Editor No 
Mobile Access No 
No-Code No 
Task Management No 
Third Party Integrations No 
Workflow Configuration No 

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