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melgarafael
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melgarafael/DeskcommCRM

Open-source AI sales OS — self-hosted CRM with native AI agents + WhatsApp (WAHA). Open alternative to Kommo, Octadesk & Intercom for any business that sells by chat. MCP-ready, multi-tenant, LGPD.

TypeScript ◇ ai MIT
★4KSTARS
⑂978FORKS
!129ISSUES
🏆#1,244GLOBAL RANK
🔥3DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for melgarafael/DeskcommCRM
CSV

Momentum

+100

STARS · LAST 30 DAYS

3

PER DAY

#177

MOST-STARRED TypeScript

Window7 days30 days90 days
Stars gained+21+100+270
Per day333
Forks gained+5+20+49

DeskcommCRM gained 100 stars in the last 30 days, about 3 a day, and now has 4K. It is about 1 year old and has averaged roughly 4K stars a year. It ranks #177 among TypeScript repositories and #1,244 across all languages on GitHubRepo.

Trending Record

DeskcommCRM has maintained a continuous presence across global trending indexes, peaking at #1375. Below is the 30-day activity profile:

💡 Overview

DeskcommCRM is an open-source project written in TypeScript: Open-source AI sales OS — self-hosted CRM with native AI agents + WhatsApp (WAHA). Open alternative to Kommo, Octadesk & Intercom for any business that sells by chat. MCP-ready, multi-tenant, LGPD.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-agents, chatbot. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in TypeScript for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ npm install DeskcommCRM

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Node.js >= 18, npm, pnpm or bun

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

DeskcommCRM coordinates its core functionality through a modular TypeScript pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with DeskcommCRM.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install DeskcommCRM using your package manager: `npm install DeskcommCRM`

2

Initialize your project workspace or configuration file for DeskcommCRM.

3

Import DeskcommCRM into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `DeskcommCRM --help` to verify successful setup.

👍 Strengths

Active community backing with 3,999 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in TypeScript for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with TypeScript and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

melgarafael/DeskcommCRM is currently ranked #1,244 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does DeskcommCRM do? +

Open-source AI sales OS — self-hosted CRM with native AI agents + WhatsApp (WAHA). Open alternative to Kommo, Octadesk & Intercom for any business that sells by chat. MCP-ready, multi-tenant, LGPD.

What language is DeskcommCRM written in? +

The primary language is TypeScript. Topics include: ai, ai-agents, chatbot, crm, customer-support.

Is DeskcommCRM actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 129 open issues being tracked.

How many stars does DeskcommCRM have? +

DeskcommCRM has 3,999 stars and 978 forks on GitHub.

How does DeskcommCRM rank among GitHub repositories? +

With 3,999 stars, melgarafael/DeskcommCRM is ranked #1,244 globally across all repositories tracked on GitHubRepo and #177 among TypeScript projects.

What license is DeskcommCRM distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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