Deskcomm is a self-hosted CRM platform that combines customer relationship management with native AI agents and WhatsApp integration for sales teams.
The tool addresses the need for businesses to manage customer interactions and sales processes through chat channels without relying on proprietary cloud services. It integrates WhatsApp as a primary communication channel through WAHA, allowing teams to handle customer conversations directly within the CRM. The platform includes AI agents that can automate sales workflows and customer support tasks, with support for Model Context Protocol (MCP) integration to extend agent capabilities. The system is designed as multi-tenant, enabling organizations to manage multiple customer accounts or business units within a single deployment.
Teams selling primarily through chat channels—ecommerce businesses, service providers, and support-heavy operations—are the primary fit. The tool positions itself as an open-source alternative to proprietary platforms like Kommo, Octadesk, and Intercom, offering self-hosted deployment for organizations that need data sovereignty or want to avoid recurring SaaS fees. It includes LGPD compliance features, making it suitable for businesses operating in Brazil or handling Brazilian customer data. The platform is built on TypeScript and Next.js, with Supabase as the database layer, which shapes the technical requirements for deployment and customization.
The project shows active development with regular commits addressing core functionality and feature expansion. Work spans across multiple areas including AI agent capabilities, WhatsApp integration refinement, and multi-tenant infrastructure improvements. The codebase demonstrates ongoing attention to both new features and maintenance of existing systems. Development activity indicates sustained effort to build out the platform's core capabilities rather than focusing narrowly on a single aspect.
