AI product Open source · MIT

DeskcommCRM

DeskcommCRM is an open-source, self-hosted CRM and AI sales operating system for businesses that sell through WhatsApp and other chat channels. It combines a multi-tenant CRM and sales pipeline with inbox, Kanban pipelines, contacts, team governance, audit logs, LGPD features, webhooks, automations, scheduling, and human takeover capabilities, and supports WhatsApp through WAHA QR connections or the official Meta Cloud API.

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Overview

Its AI agents use tenant-specific RAG, organizational memory, executable skills, intent routing, sentiment analysis, follow-ups, and audited handoff to human attendants. Agents can operate CRM records such as leads and funnel stages, while the CRM exposes an internal MCP interface for agent operations. Tenants can receive leads through public webhook endpoints and process event-driven QUANDO/SE/ENTÃO rules through an event-log queue drained by scheduled workers. The application is built with Next.js, TypeScript, and Supabase/Postgres.

What DeskcommCRM is used for

3 uses taken from transcripts — each links to the moment in the video.

  • A self-hosted CRM for businesses that sell through chat. It combines a sales pipeline with AI agents, WhatsApp integration, appointment booking, automations, scheduling, and multi-tenant support.

  • Self-hosted AI sales CRM for businesses selling by chat, combining a sales pipeline, AI agents, automations, scheduling, and human takeover.

  • An open-source, self-hosted CRM for businesses that sell through chat. It combines a sales pipeline with AI agents and WhatsApp, enabling automated replies, appointment booking, human takeover, scheduling, and other sales workflows.

Videos mentioning DeskcommCRM

2 in the library.