Attio vs Ever-gauzy
Ever Gauzy is a plausible Attio alternative when infrastructure control and a combined CRM/ERP/HR/project-management system matter more than Attio’s specialized revenue platform. It documents contacts, sales pipelines, reporting, permissions, APIs, and import/export, but the supplied evidence does not establish equivalents for Attio’s configurable object model, AI agents, enrichment, outreach sequences, or call-int —
Decision guide
The practical reasons to choose either option, based on documented capabilities.
Choose Ever-gauzy if
- Organizations that must self-host their CRM and control deployment timing
- Agencies and service businesses wanting CRM alongside projects, time tracking, invoicing, HR, and accounting
- Technical teams able to operate a TypeScript application with databases and supporting infrastructure such as Redis, OpenSearch, object storage, and analytics services
Stay with Attio if
- Revenue teams depend on custom objects, attributes, associations, and highly configurable CRM views; equivalent coverage is not documented for Ever Gauzy
- Teams rely on AI-assisted account research, record updates, lead scoring, routing, or next-action recommendations; equivalent coverage is not documented
- Sales workflows require personalized outreach sequences or recorded, transcribed, and summarized calls; equivalent coverage is not documented
Deployment and operations
Ever Gauzy is self-hostable and licensed under AGPL-3.0; its pricing page says users must follow AGPL v3 requirements, including source disclosure under the same license, notices, and stating changes. Installation options include downloadable server/desktop applications, Docker Compose, manual Node.js/Yarn setup, and Kubernetes, which the README recommends for production. The server can use SQLite or an external PostgreSQL database; PostgreSQL or MySQL is recommended for production. Production’s
Migration considerations
Ever Gauzy documents generic data import/export, but the supplied material provides no Attio-specific importer, schema mapping, automation conversion, or compatibility guidance. A migration would therefore require validating how Attio records, custom objects, associations, and workflows map into Gauzy.
Feature fit
What Ever-gauzy covers
- Contact and customer management
- Sales pipeline management
- Reports and analytics
- Roles and permissions
- APIs and integrations
What’s different or missing
- Attio-style custom object model not documented
- Automated customer enrichment not documented
- AI CRM search and actions not documented
- Agent-driven scoring and routing not documented
- Personalized outreach sequences not documented
- Call recording and intelligence not documented
Project snapshot
- GitHub stars
- 4,327
- Contributors
- 100
- Language
- TypeScript
- Last commit
- Aug 16, 2026
- Latest release
- Aug 16, 2026
Categories: Customer Relationship Management, Business Intelligence, Data Integration, Workflow Automation, Project Management, Task Management, Knowledge Management, Digital Whiteboards
Sources and editorial review14 linked sources
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.comCustomer Relationship Management (CRM)
readme · github.comContacts Management (Clients / Customers / Leads / etc.)
readme · github.comSales Pipelines
readme · github.comReports / Insights / Analytics
readme · github.comEver® Gauzy™ Server ... serves Gauzy frontend
readme · github.comEver® Gauzy™ Desktop App - includes Gauzy frontend (UI), Gauzy API, SQLite DB, etc., all-in-one!
readme · github.comRun `docker-compose up -d` ... minimal production configuration
readme · github.comWe recommend using Kubernetes for production workloads instead of Docker Compose!
readme · github.com- **Customer Relationship Management** (CRM) - **Human Resource Management** (HRM) - **Applicant Tracking System** (ATS) - **Work and Project Management** (PM)
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.comFor 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
