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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
★5.3KSTARS
⑂1.5KFORKS
!547ISSUES
🏆#2,820GLOBAL RANK
🔥42DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

DeskcommCRM is 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..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), melgarafael/DeskcommCRM has accumulated 5,331 GitHub stars and 1,530 forks. It is written in TypeScript, licensed under MIT, and ranks #2,820 globally. It is actively maintained with the latest commit recorded on Nov 10, 2026.”
Repository melgarafael/DeskcommCRM ↗
Primary Category ai
Language & Stack TypeScript
Software License MIT
Community Traction ★ 5.3K stars · ⑂ 1.5K forks · #2,820 globally
Maintenance ● Active (Last commit: Nov 10, 2026) · 547 open issues
Target Audience Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 95/100 · Grade A+
✅
Is DeskcommCRM actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, DeskcommCRM is actively maintained. Continuous telemetry recorded the last code commit on Nov 10, 2026 (2 days ago). Supported by 5,331 stars and 1,530 community forks, this repository holds a calculated health index of 95/100, reflecting very active (commits within last 14 days) and active community feedback (547 open).

Commit Recency
Nov 10, 2026
2 days since last push
Issue Backlog
547 Open Issues
Active Community Feedback (547 open)
Community Backing
1.5K Forks
5.3K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for melgarafael/DeskcommCRM
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Momentum

+784

STARS · LAST 30 DAYS

26

PER DAY

#473

MOST-STARRED TypeScript

Window7 days30 days90 days
Stars gained+784+784+2.3K
Per day1122626
Forks gained+314+314+77

DeskcommCRM gained 784 stars in the last 30 days, about 26 a day, and now has 5.3K. It is about 1 year old and has averaged roughly 5.3K stars a year. It ranks #473 among TypeScript repositories and #2,820 across all languages on GitHubRepo.

Trending Record

DeskcommCRM has maintained a continuous presence across global trending indexes, peaking at #70. 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.

⇄ Alternatives & Direct Competitors

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freeCodeCamp/freeCodeCamp ★ 458.9K TypeScript

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morluto/rea ★ 430.5K TypeScript

Reverse engineer anything with agents, from app behavior down to native binaries.

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The AI that really does things. Any OS. Any Platform. The lobster way. 🦞

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DeepSeek Harness: Everything is a Plugin.

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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 #2,820 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#2,815 quinn-rs/quinn Rust ★ 5.3K Compare ↗
#2,816 dunglas/mercure Go ★ 5.3K Compare ↗
#2,816 beclab/Olares Go ★ 5.3K Compare ↗
#2,818 OpenSelena/omniget Rust ★ 5.3K Compare ↗
#2,819 elastic/elasticsearch-php PHP ★ 5.3K Compare ↗
#2,820 melgarafael/DeskcommCRM This Project TypeScript ★ 5.3K
#2,821 homarr-labs/homarr TypeScript ★ 5.3K Compare ↗
#2,822 flutter/packages Dart ★ 5.3K Compare ↗
#2,823 iflytek/skillhub Java ★ 5.3K Compare ↗
#2,824 rust-lang/rust-bindgen Rust ★ 5.3K Compare ↗
#2,824 NVIDIA/cuml Python ★ 5.3K Compare ↗
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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.

Is DeskcommCRM actively maintained in 2026? +

Yes, DeskcommCRM is actively maintained. The latest code push was recorded on Nov 10, 2026 (2 days ago). It holds a calculated Maintenance Health Score of 95/100 (A+ rating) with 5,331 stars and 547 open issues.

What language is DeskcommCRM written in? +

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

How many stars does DeskcommCRM have? +

DeskcommCRM has 5,331 stars and 1,530 forks on GitHub.

How does DeskcommCRM rank among GitHub repositories? +

With 5,331 stars, melgarafael/DeskcommCRM is ranked #2,820 globally across all repositories tracked on GitHubRepo and #473 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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