Explore cutting-edge AI technology and share enterprise intelligence practices
Tego OS v3.0.0 ships 16 Tego template skills covering the two highest-frequency industry chains: IT operations and cross-border e-commerce. Every skill comes with executable bash scripts — not 'prompt templates' but actually runnable. This post walks through every skill, the matching business workflows and how they integrate with per_user, template governance and BusinessMonitor.
Tego OS v3.0.0 is here. Per-user dedicated instances, three-layer S3 data isolation, single-authority template/runtime governance, the BusinessMonitor operations dashboard, 16 out-of-the-box template skills, the Mini Chat floating window, and a fully rewritten Windows installer—turning a product that runs into a system enterprises can truly deliver against.
TeGo-OS v2.8.0 introduces the Digital Avatar system, giving every employee a dedicated AI avatar with independent container runtime, 4-layer data isolation, hot-pluggable skills, and full lifecycle management. A paradigm shift from shared tools to digital employees.
From text to interfaces, AI is undergoing a revolution in how it expresses itself. The A2UI protocol enables AI to directly generate interactive interfaces. How will this change the way we communicate with AI?
Google released the revolutionary A2UI protocol, enabling AI to directly generate interactive interfaces. The Zhama AI team was first to open-source a complete React implementation @zhama/a2ui, no need to wait for the official renderer.
Forget everything you know about building MCP servers. TypeScript decorators transform AI tool development from tedious configuration to pure, expressive code. Experience the joy of @zhama/mcp-server's decorator-driven approach.
The official MCP SDK is powerful, but it's not designed for rapid development. Let's explore its limitations and why frameworks like @zhama/mcp-server are essential for productive AI tool development.
Tired of complex MCP server setups? I created @zhama/mcp-server - a developer-friendly TypeScript framework that gets you from zero to a working Claude Desktop tool in just 5 minutes. No boilerplate, just code.
Master the art of building custom Model Context Protocol servers for Claude Desktop using the @zhama/mcp-server framework. This in-depth guide covers everything from setup to deployment, with practical examples and production-ready patterns.
Learn how to build scalable Model Context Protocol servers using TypeScript. This comprehensive guide covers everything from basic setup to production deployment, with real-world examples and best practices.
Comprehensive understanding of MCP (Model Context Protocol) framework design philosophy and practical applications, mastering core technologies of modern AI application development
Deep dive into the core features of TeGo-OS AI Agent Platform and learn how AI technology empowers enterprise digital transformation
17 articles in total
Tego OS v3.0.0 ships three things on the desktop: an always-on-top Mini Chat floating window, a unified Downloads center, and a fully rewritten Windows NSIS installer. This post focuses on the experience details and explains how the combination genuinely puts the digital avatar into daily work.
Tego OS v3.0.0 ships the brand-new BusinessMonitor service and dashboard. Six panels — coverage, growth, engagement, tasks, workflow, skill effectiveness — aggregated into one snapshot, backed by an in-process LRU cache and dedicated routes in both ai-studio and dashboard, so leaders can finally see the platform clearly on one screen.
v3.0.0 rewrites the S3 namespace and the template/runtime governance protocol together — templates belong to templates, runtime belongs to users, and any regular user trying to write a template path gets 403. This post walks through the design end-to-end and explains what it actually means for enterprises.
v3.0.0 introduces per_user dedicated instances so a single digital avatar can be safely used by a whole team without interference. This post walks through the scheduling model, lifecycle, capacity guardrails, stale-lock cleanup and the Warm Pool roadmap that make the system genuinely production-grade.
Enterprise AI project implementation experience based on real cases, helping enterprises avoid common pitfalls and ensure successful AI investment
