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Agent Hub is an AI orchestration platform that transforms how developers and DevOps engineers interact with their toolchain. Built on the cutting-edge Model Context Protocol (MCP), it provides intelligent automation through specialized AI agents, seamlessly integrating with GitHub, Azure, security tools, and data processing

Browser-automation agent for Chrome — natural-language tasks executed through native tool calling, scoped Skills, CDP keyboard control, and a confirm-before-act security model. BYOK across 8 LLM providers (Claude, GPT, Gemini, DeepSeek + 4 China-region).

Plexir is a modular, keyboard-centric AI terminal workspace that combines multi-provider LLM orchestration, persistent Docker sandboxing, and advanced agentic tools into a professional TUI. Designed for developers who live in the CLI, it offers a resilient and secure environment for coding, information gathering, and system automation.

A .NET 9 multi-agent platform where AI agents (Silicon Beings) self-evolve via Roslyn dynamic compilation. Features tick-driven time-sliced scheduling, executor-permission security, and zero-database file storage. Cross-platform, single-file deployable.

Game Enterprise R&D AI Agent Control Plane — 25+ LLM providers, five-layer security, multi-tenant isolation, game-specific tools with hallucination detection | 面向游戏企业研发的 AI Agent 控制平面 — 25+ LLM 供应商、五层安全、多租户隔离、游戏专属工具 + 幻觉检测

Stateful Telegram AI Assistant powered by Gemini 2.5 Flash & LangChain. Securely manages Google Calendar (CRUD) via custom tools. Features SQL-backed conversational memory for dynamic chats, zero-downtime error handling, strict access control, and cloud-ready architecture.

Agent orchestration platform & operating-system-workspace. It powers Agents, mini apps, documents, CRM, CMS, chat, workflows, tools, and secure browser access across desktop, mobile, and web using skills and MCP. Built on Aurora Cloud, it comes bundled with production ready agents, agentic runtime, MCP + MORE.

Salesforce AI Assistant — An intelligent, LLM-powered assistant that enables natural language interaction with Salesforce metadata and data. Built with LangGraph for agent workflows, Weaviate for semantic search, MongoDB for short-term memory, and high-quality embedding models. Supports SOQL generation, metadata exploration, and secure multi-org

Minimal, secure Google Workspace MCP server — 43 tools across 10 services (Gmail, Calendar, Drive, Docs, Sheets, Slides, Forms, Tasks, Chat, Meet). Only official Google libraries, zero third-party wrappers, fully auditable. Works with Claude Code, Kiro, Cursor, Windsurf, Codex.

NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully open with open-weights, datasets and recipes so developers can easily customize, optimize, and deploy the model on their infrastructure for maximum privacy and security.

NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully open with open-weights, datasets and recipes so developers can easily customize, optimize, and deploy the model on their infrastructure for maximum privacy and security.

Aegis Agent Framework is an engineering-grade AI agent runtime built on Python 3.11+ and pydantic v2. Designed with an "offline-first" and secure-isolation philosophy, it features rigorous architectural boundaries and a 5-slot context engineering model. With out-of-the-box support for 11 model adapters and native integration with MCP and A2A protoc

My AI engineering team for Claude Code — 64 named specialists I actually use every day. Atlas leads, Rune designs, Forge codes backend, Bastion guards security, Sage tells me to drink water. Deep agent prompts (anti-patterns + 2025 defaults + handoffs + checklists), per-role memory, ASCII activation cards. MIT.

Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with improvements across system design, code security, and specification adherence. The model is designed for extended autonomous operation, maintaining task continuity across sessions and providing fact-based progress tracking. Sonnet 4.5 also introduces stronger agentic capabilities,