Pipedrive vs DeskcommCRM
DeskcommCRM is the stronger fit for organizations that want an MIT-licensed, self-hosted CRM centered on WhatsApp conversations, configurable sales funnels, automation, and AI-assisted qualification. Pipedrive remains the safer choice for teams needing a more general sales CRM with documented email/calendar synchronization, forecasting, mobile apps, and a large integration marketplace. The main tradeoff is deployment
Decision guide
The practical reasons to choose either option, based on documented capabilities.
Choose DeskcommCRM if
- Businesses whose sales process starts and progresses primarily through WhatsApp conversations
- Teams requiring self-hosting, source-code access, and direct control over CRM data
- Agencies hosting separate CRM installations for clients under a permissive MIT license
Stay with Pipedrive if
- Email and calendar synchronization are required; this coverage is not documented for DeskcommCRM in the supplied sources
- Revenue forecasting, goals, and broader sales reporting are essential; DeskcommCRM documents funnel and attendant performance but not Pipedrive-equivalent forecasting
- Native Android or iOS applications or a broad packaged integration marketplace are required; neither is documented for DeskcommCRM here
Deployment and operations
DeskcommCRM is MIT-licensed and self-hosted on a VPS with Docker; Kubernetes support is not documented. The recommended host has 4 GB RAM. Installation requires a domain, Supabase database credentials, an OpenRouter, Anthropic, or OpenAI key, and a WhatsApp number or Meta channel. The installer configures the application, database schema, HTTPS, automation cron, and update agent. Operators remain responsible for the VPS and maintenance; the documented updater backs up the database before updates
Feature fit
What DeskcommCRM covers
- Configurable stage-based sales funnels
- Contact and lead records
- Sales follow-up tracking
- Rule-based workflow automation
- Inbound lead capture
What’s different or missing
- Documented email and calendar synchronization
- Documented revenue forecasting and goals
- Documented native mobile applications
- Documented broad application marketplace
- Documented Pipedrive data importer
Project snapshot
- GitHub stars
- 566
- Contributors
- 16
- Language
- TypeScript
- Last commit
- Aug 17, 2026
- Latest release
- Aug 13, 2026
Categories: Sales Intelligence, Workflow Automation, Business Intelligence, Customer Relationship Management, Customer Data Platforms, Marketing Automation, Customer Support
Sources and editorial review12 linked sources
Public documentation supports this comparison. Automation assists collection and classification; editorial standards and corrections remain the responsibility of Kris.
Open-source AI sales OS — self-hosted CRM with native AI agents + WhatsApp (WAHA).
repository description · github.comAgentes de IA que atendem, qualificam e vendem no WhatsApp — dentro de um CRM open source rodando no seu servidor.
readme · github.comCRM | Kanban ... Contatos ... Funis ...
readme · github.comNada morre no silêncio — follow-up que retoma a conversa esfriada ... e gatilhos por etapa do funil
readme · github.como tenant monta automações: regras no formato QUANDO/SE/ENTÃO que disparam ações como adicionar tag, mover o lead no funil, atribuir a um atendente, mandar uma mensagem de WhatsApp ou avisar outro sistema via webhook de saída.
readme · github.comAnálise | Desempenho (funil e performance por atendente) · Evolução da IA · Audit Log
readme · github.comfontes de captação ... recebe leads ... e já entra direto no funil/estágio escolhido
readme · github.comOpen-source AI sales OS — self-hosted CRM with native AI agents + WhatsApp (WAHA).
verdict · github.comCRM | **Kanban** (onde cada negócio está no funil) · **Contatos** · **Funis** (etapas, vocabulário do negócio e motivos de perda)
shared feature · github.como tenant monta **automações**: regras no formato QUANDO/SE/ENTÃO que disparam ações como adicionar tag, mover o lead no funil, atribuir a um atendente, mandar uma mensagem de WhatsApp ou avisar outro sistema via webhook de saída.
shared feature · github.com| **VPS com Docker** | [HostGator](https://www.hostgator.com.br/52708-141-3-52.html) (parceria) — ou qualquer VPS com Docker. 4 GB de RAM recomendados |
deployment · github.comO `update.sh` já roda um backup antes de cada atualização.
deployment · github.com
