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Folk vs Ever-gauzy

Choose Ever Gauzy when self-hosting and a broader operational suite—CRM plus HR, projects, finance, inventory, and time tracking—matter more than Folk’s relationship-centric experience. Choose Folk when the priority is multichannel relationship context, AI-assisted follow-ups and recaps, enrichment, and personalized email automation; those capabilities are not established for Ever Gauzy by the supplied documentation.

Folk versus Ever-gauzy comparison

Decision guide

The practical reasons to choose either option, based on documented capabilities.

Choose Ever-gauzy if

  • Organizations seeking one self-hosted system for CRM, HR, projects, accounting, inventory, and time tracking
  • Agencies or service businesses that need client records tied to projects, timesheets, costs, and invoicing
  • Technical teams able to operate Docker or Kubernetes infrastructure and comply with AGPL-3.0 obligations

Stay with Folk if

  • WhatsApp messages or LinkedIn activity must appear in relationship history; Ever Gauzy only documents email history among these channels
  • AI-generated follow-ups, relationship recaps, company research, or email personalization are required; equivalent features are not documented
  • Trigger-based email workflows with open, reply, bounce, and campaign tracking are central to the process; this coverage is not documented for Ever Gauzy
Deployment and operations

Ever Gauzy is self-hostable and AGPL-3.0 licensed. It supports downloadable server and desktop applications, Docker Compose, and manual Node.js/Yarn installation; the project recommends Kubernetes for production. Its production Compose configuration runs several supporting services, so maintenance is materially broader than operating a focused CRM. PostgreSQL or MySQL is recommended for production, while SQLite is positioned for demos or testing. A vendor SaaS endpoint is listed, but the README—

Migration considerations

Ever Gauzy documents generic data import/export, but the supplied material identifies no Folk-specific importer, field mapping, attachment transfer, or synchronization path. A migration therefore requires testing exported Folk data against Gauzy’s accepted formats and mapping relationship, company, deal, and interaction records.

Feature fit

What Ever-gauzy covers

  • Contact and client records
  • CRM and sales pipelines
  • Email history and templates
  • External integrations and APIs
  • Data import and export
  • Roles and permissions

What’s different or missing

  • No documented WhatsApp history
  • No documented LinkedIn activity history
  • No documented AI follow-up assistant
  • No documented AI relationship recaps
  • No documented company enrichment
  • No documented trigger-based email automation
  • No documented outreach engagement tracking

Project snapshot

GitHub stars
4,331
Contributors
100
Language
TypeScript
Last commit
Aug 19, 2026
Latest release
Aug 19, 2026

Categories: Business Intelligence, Sales Intelligence, Customer Relationship Management, Data Integration, Workflow Automation, Project Management, Task Management, Knowledge Management, Customer Data Platforms, Digital Whiteboards, Marketing Automation, Customer Support, Content Marketing

Sources and editorial review15 linked sources

Reviewed by Kris

Reviewed

Updated

Public documentation supports this comparison. Automation assists collection and classification; editorial standards and corrections remain the responsibility of Kris.

  • Ever® Gauzy™ - Open Business Management Platform (ERP/CRM/HRM/ATS/PM)

    repository description · github.com
  • Customer Relationship Management (CRM)

    readme · github.com
  • Contacts Management (Clients / Customers / Leads / etc.)

    readme · github.com
  • Sales Pipelines

    readme · github.com
  • Email History / Email Templates

    readme · github.com
  • Headless APIs

    readme · github.com
  • ### Web UI

    readme · github.com
  • Ever® Gauzy™ Server - includes Gauzy API, SQLite DB ... and serves Gauzy frontend.

    readme · github.com
  • We recommend using Kubernetes for production workloads instead of Docker Compose!

    readme · github.com
  • - Customer Relationship Management (CRM) - Enterprise Resource Planning (ERP) - Projects / Tasks Management - Sales Management - Financial and Cost Management (including _Accounting_, _Invoicing_, etc) - Inventory, Supply Chain Management, and Production Management

    verdict · github.com
  • - Contacts Management (Clients / Customers / Leads / etc.) - Schedules / Appointments / Events - Project Management / Tasks - Goals / KPI / Objectives / Key Results - Sales Pipelines

    shared feature · github.com
  • - Data Import / Export

    migration · github.com
  • For Production, we recommend: - [PostgreSQL](https://www.postgresql.org) or [MySQL](https://dev.mysql.com) - [Kubernetes](https://kubernetes.io), [Docker](https://www.docker.com)

    deployment · github.com
  • - You must follow AGPL v3 license requirements. - You must Disclose Source Code under the same license, provide License and Copyright Notice and State Changes.

    deployment · gauzy.co
  • Ever® Gauzy™ Platform SaaS is available at <https://app.gauzy.co>. Note: it's currently in Alpha version/testing mode, please use it cautiously!

    deployment · github.com
View all Folk alternatives