@CycleDecoded: Traditional CRM vendors charging per-user "protection fees" are probably sweating now. FIT2CLOUD, the team behind 1Panel, quietly dropped a bombshell project on GitHub—CordysCRM. In short, it's a fully open-source and natively AI-powered...

X AI KOLs Timeline Products

Summary

FIT2CLOUD has released CordysCRM, an open-source AI CRM system that supports private deployment and AI automation, aiming to provide enterprises with a secure and controllable customer relationship management solution.

Traditional CRM vendors charging per-user "protection fees" are probably sweating now. FIT2CLOUD, the team behind the 1Panel panel, quietly dropped a bombshell project on GitHub—CordysCRM. In short, it's a fully open-source, natively AI-powered next-generation customer relationship management system. They give you the entire codebase, emphasizing private deployment. Why does this get attention? Check these points: - Free riders rejoice: Truly open source, no more paying IQ taxes for expensive SaaS software. - Absolute data security: Supports local/private deployment. Customer lists stay on your own servers—no one can steal them. - AI automation intervention: Say goodbye to manual form filling. Use AI to handle customer data cleaning and follow-ups, maximizing efficiency. - Reliable background: Made by the team behind 1Panel. Those in the know understand it's well-crafted and no-nonsense. Whether you run your own studio, a small business, or handle IT in a company, this is definitely worth watching. GitHub link: https://github.com/1Panel-dev/CordysCRM...
Original Article
View Cached Full Text

Cached at: 07/06/26, 10:10 AM

Cordys CRM

A new generation open-source AI CRM system

Similar Articles

@beefnoode: https://x.com/beefnoode/status/2062816409030389909

X AI KOLs Timeline

Based on a16z's analysis of Salesforce's headless products, this article explores the trend of enterprise software moats shifting from user interfaces to underlying data models, permission systems, and workflow logic in the AI Agent era, and analyzes the difficulty differences in migrating CRM, ATS, ERP, and other systems.

@axiaisacat: Sharing a truly deployable open-source digital human framework — Fay Key highlights: ▸ Fully open source (GPL-3.0), free for commercial use ▸ Fully offline, data security guaranteed ▸ Modular design, freely combinable like building blocks ▸ Supports MCP tool invocation + bionic memory ▸ Built-in web management page, easy even for beginners...

X AI KOLs Timeline

Fay is a fully open-source, commercially free digital human framework that supports offline operation, modular design, MCP tool invocation, and bionic memory. It features a built-in web management interface, enabling quick setup for virtual streamers, intelligent customer service, personal AI assistants, and more.

@Xudong07452910: Open-source framework recommendation: Agency Agents — 232 professional AI agents, divided by function, covering 16 business departments. If you've used Claude Code or Codex, you may have encountered this problem: AI is very capable at coding tasks, but when it comes to front-end design, writing marketing...

X AI KOLs Timeline

Agency Agents is an open-source framework providing 232 professional AI agents covering 16 business departments. Each agent has a unique personality, communication style, and delivery standards. It supports multiple development tools such as Claude Code, GitHub Copilot, and has community-translated versions.

@CycleDecoded: Unbelievable, guys—GitHub just quietly unleashed a monster project that's set to disrupt institutional quant traders' livelihoods. The project is called Alpha-Dojo/DojoAgents, with a brutally hardcore positioning: 'Full-market Personal Investment AI Copilot.' This isn't some grandstanding large model that just talks in circles; it's the real deal…

X AI KOLs Timeline

Alpha-Dojo/DojoAgents is a full-market personal investment AI copilot framework that supports automated analysis and strategy backtesting for stocks, forex, and cryptocurrencies. It is fully open-source and aims to give retail investors access to institutional-grade quantitative tools.