DeskcommCRM: Open-Source AI Sales CRM for WhatsApp Explore Now
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Businesses are increasingly using AI to automate customer communication, sales, and follow-ups. DeskcommCRM is an open-source project that brings these capabilities together in a self-hosted AI-powered CRM.
DeskcommCRM is designed as an AI Sales Operating System for businesses that communicate and sell through WhatsApp. It combines CRM features with AI agents, RAG, automated follow-ups, realtime communication, and MCP support.
What Is DeskcommCRM?
DeskcommCRM is a self-hosted CRM where AI agents can actively participate in the sales process. Instead of using AI only as a chatbot, the system allows AI agents to help with tasks such as answering customers, qualifying leads, managing sales pipelines, and triggering follow-ups.
The project also supports RAG-based knowledge, operational memory, sentiment analysis, and AI-to-human handoff, making it suitable for businesses that want to combine automated conversations with human support.
The project has evolved beyond its original e-commerce use case and can be adapted for businesses such as clinics, real estate agencies, agencies, online stores, service providers, and other WhatsApp-based businesses.
Key Features
DeskcommCRM provides a wide range of features for AI-powered sales management:
- AI Sales Agents for automated customer conversations
- WhatsApp Integration through WAHA or Meta Cloud API
- RAG-Based Knowledge for contextual AI responses
- Automated Follow-ups to re-engage potential customers
- Sales Pipeline & Kanban for managing leads
- Customer & Contact Management
- AI-to-Human Handoff when human assistance is required
- Sentiment Analysis for customer conversations
- MCP Support for connecting AI agents with CRM functionality
- Multi-Tenant Architecture for multiple organizations
- Realtime Communication and updates
- Analytics and AI Performance Tracking
- Self-Hosted Deployment with data hosted on your own infrastructure
Privacy features focused on LGPD compliance
Technology Stack
DeskcommCRM uses a modern development stack including Next.js, React, TypeScript, Tailwind CSS, shadcn/ui, Supabase/PostgreSQL, Supabase Realtime, and Redis.
For AI functionality, the project supports integrations including OpenRouter, Anthropic, OpenAI, and Google models.
This combination makes the repository an interesting example of how modern web applications can integrate AI agents with databases, realtime systems, communication platforms, and business workflows.
Who Should Explore DeskcommCRM?
DeskcommCRM can be particularly useful for:
- Web developers
- AI/ML enthusiasts
- Startup builders
- SaaS developers
- CRM developers
- WhatsApp automation developers
- Computer Science students
- Open-source contributors
By studying the project, developers can learn about AI agents, RAG, MCP, WhatsApp automation, multi-tenant systems, realtime applications, database architecture, and CRM workflows.
Why Is DeskcommCRM Trending?
DeskcommCRM reached #2 on GitHub Trending on September 11, 2026, highlighting the growing interest in open-source AI applications designed for real business use cases.
Unlike a simple AI chatbot project, DeskcommCRM focuses on putting AI directly into business operations, particularly sales and customer communication.
License and Open Source
DeskcommCRM is released under the MIT License, allowing developers to explore and work with the open-source project according to the license terms.
The project is also designed for self-hosted deployment, giving businesses greater control over their infrastructure and data.
Final Thoughts
DeskcommCRM is an interesting GitHub project for anyone exploring the future of AI-powered sales and customer relationship management.
Its combination of AI agents, WhatsApp, RAG, MCP, automation, realtime communication, and self-hosting makes it a valuable project to study for developers and startup builders.
If you are interested in building AI-powered business applications or learning how AI agents can perform real operational tasks, DeskcommCRM is definitely worth exploring.
