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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.
这个仓库详情页已经具备足够的原创分析、来源证据和同类对比，可以作为 Git-Stars 的可索引评测页。
100
评测分
解决的问题
It solves the problem of expensive, closed CRM platforms that lock data and charge per feature, especially for businesses selling via WhatsApp. It provides a self-hosted, AI-integrated CRM that can be customized for any niche, with agents that actually operate the CRM (not just chatbots), and gives full data ownership and privacy (LGPD).
部署现实
当前可用的安装信号是：curl -fsSL https://raw.githubusercontent.com/melgarafael/DeskcommCRM/main/hostgator-setup-kit/comecar.sh | bash。这只能作为起点，正式使用前建议让 Codex 或 Claude 检查 README、环境变量、运行时版本和部署目标。
商业可用性
当前记录的许可证是 MIT。这是重要的商业使用信号，但仍应核验许可证全文、依赖许可证、模型/API 条款和商标限制。
能力上限
Developers can build a complete AI-driven sales operation for any business that sells via chat, including e-commerce, clinics, real estate, agencies, and service providers. The AI agents can attend, qualify, move leads, trigger automations, and hand off to humans, with RAG per tenant and self-improvement from resolved conversations. The MCP server exposes the entire CRM to external agents, enabling deep integrations and automation. The ceiling is a fully autonomous sales pipeline that learns and improves over time, with human oversight where needed.
Git-Stars 是独立产品，不隶属于 GitHub 或该项目。 分析可能由 AI 辅助生成，依据公开仓库元数据和 README 的短摘要。 我们不镜像完整 README、文档、Issue 或社媒评论。
melgarafael/DeskcommCRM 被追踪为 TypeScript 项目，主要属于 AI Agent, MCP Server, LLM Tool, AI App, Automation 方向。这个评估结合公开 GitHub 元数据、分类信号、短来源摘要和 Git-Stars 编辑规则，而不是复制项目文档。
增长检查：该仓库目前有 378 Star，今日 +28，本周 +0，本月 +0。这些窗口用于区分持续采用信号和短期曝光峰值。
维护检查：当前活跃度为 一般；最近一次推送距今 68 天，未关闭 Issue 为 8，约占总 Star 的 2.12%。这只是采用信号，不替代工程尽调。
采用检查：194 Fork 和 378 Watcher 反映项目被复用和关注的程度。许可证信号：MIT。商业或内部使用前请核验许可证兼容性。
适用判断：当你需要「AI 原型、LLM 工作流和 Agent 类应用」时，这个项目更值得评估；如果「需要法律审查、安全审计或生产 SLA 保证」，则需要谨慎。
来源检查：Git-Stars 当前为这份报告保留了 2 个明确来源引用，近期增长信号为 28。最终安装、安全和版本信息仍应以原始 GitHub 仓库为准。
原创分析
充分已经具备问题、能力和结论层面的原创判断。
来源
充分已附带仓库元数据和 README/来源引用。
许可证
充分已记录 MIT，可作为评估依据。
维护
充分仓库元数据中可以看到近期活跃信号。
同类对比
充分已有足够相近项目用于对比。
热度
378 星标
复用
194 复刻
关注
378 关注者
维护
moderate
许可证
MIT
未解决 Issue
8
DeskcommCRM is an open-source, self-hosted CRM and sales operating system with AI agents that handle, qualify, and sell on WhatsApp. It offers multi-tenant support, LGPD compliance, and a one-command installation for production, positioning itself as an alternative to proprietary CRMs like Kommo, Octadesk, and Intercom.
核心特性
- AI agents with tenant-scoped RAG, sentiment analysis, audited human handoff, and budget control. - WhatsApp-native via WAHA with multi-number support, anti-ban throttling, and STOP detection. - Multi-tenant with row-level security and LGPD-by-design, plus webhooks and automation for lead capture and workflow.
AI Agent
Agent frameworks, autonomous workflows, and tool-use systems
MCP Server
Model Context Protocol servers, clients, and integrations
LLM Tool
Libraries and tools for LLM apps, RAG, prompts, and evals
AI App
End-user AI applications and AI-native product examples
Automation
Workflow automation, integration glue, and orchestration
curl -fsSL https://raw.githubusercontent.com/melgarafael/DeskcommCRM/main/hostgator-setup-kit/comecar.sh | bash55
健康评分
一般
提交活跃度
Apr 28, 2026
创建于
Aug 6, 2026
最近提交
每日同步积累数据后，Star 历史将在此显示。
复刻
未解决
关注者
melgarafael
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✓
许可证
✓
Fork 情况
~ 一般
维护情况
解决的问题
It solves the problem of expensive, closed CRM platforms that lock data and charge per feature, especially for businesses selling via WhatsApp. It provides a self-hosted, AI-integrated CRM that can be customized for any niche, with agents that actually operate the CRM (not just chatbots), and gives full data ownership and privacy (LGPD).
能力范围
Developers can build a complete AI-driven sales operation for any business that sells via chat, including e-commerce, clinics, real estate, agencies, and service providers. The AI agents can attend, qualify, move leads, trigger automations, and hand off to humans, with RAG per tenant and self-improvement from resolved conversations. The MCP server exposes the entire CRM to external agents, enabling deep integrations and automation. The ceiling is a fully autonomous sales pipeline that learns and improves over time, with human oversight where needed.
结论
DeskcommCRM is ideal for businesses and developers who want a customizable, self-hosted CRM with integrated AI agents for WhatsApp sales, and who value data ownership and cost savings. It is not suitable for those who prefer a fully managed, no-maintenance solution or lack technical resources. The key trade-off is between control and flexibility versus the burden of self-hosting and the maturity of the AI features.