What problem it solves

Businesses that sell through WhatsApp need customer conversations, pipeline management, automated follow-ups, and AI-assisted qualification in one place. They also need control over where their data is stored and how AI agents operate within their sales processes.

Key features

• AI agents that operate the CRM — AI agents can answer customers, qualify leads, move opportunities through the pipeline, trigger automations, and hand conversations to people with an auditable process. Tenant-specific RAG, skills, memory, sentiment analysis, and spending limits support their operation.

  Source: README

• WhatsApp and pipeline management — The CRM combines WhatsApp conversations, a visual sales pipeline, contacts, funnels, follow-ups, and quick replies. WhatsApp can be connected through QR code with WAHA or through Meta's official channel.

  Source: README

• Webhooks and no-code automations — Each tenant can receive leads through public webhook endpoints and build WHEN/IF/THEN rules without custom integrations. Actions include tagging contacts, moving leads, assigning agents, sending WhatsApp messages, and calling outbound webhooks.

  Source: README

• Multi-tenant governance and LGPD controls — Tenant-aware row-level security, server-side role-based access, audit logs, and privacy workflows are built into the system. The README also describes anonymization, append-only audit retention, and isolation tests in CI.

  Source: README

• Self-hosted installation and updates — The installation kit deploys the application, WhatsApp service, and database stack on a VPS and can configure required scheduled automation workers. Updates include a database backup, health checks, and a path to roll back to the previous image.

  Source: README, hostgator-setup-kit

Quick start

Copied verbatim from the project's README.

git clone https://github.com/melgarafael/DeskcommCRM.git
cd DeskcommCRM
bash hostgator-setup-kit/install.sh

Who it may suit

This may suit businesses that sell through WhatsApp and want AI-assisted customer service and pipeline management under their own infrastructure. It may also suit developers evaluating a multi-tenant CRM with agents, automations, and WhatsApp integrations.

Topics to discuss

• Which CRM workflows should AI agents automate first while keeping people in control?

• How should tenant-specific RAG, memory, and skill permissions be designed for different business models?

• What should community-maintained WhatsApp, AI provider, and self-hosting integrations look like?

Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.

Read the original README https://github.com/melgarafael/DeskcommCRM#readme

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