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agentic-workflows

AI Agents (or Agentic AI) refer to autonomous or semi-autonomous artificial intelligence systems designed to execute multi-step software tasks, automate code generation, and manage complex workflows. Unlike traditional conversational AI that simply responds to prompts, agentic systems can formulate plans, use external tools, make decisions, and interact with various digital environments to achieve user-defined goals efficiently.

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awesome-agentic-ai-zh

A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。

  • Updated Oct 17, 2026
  • Python

AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).

  • Updated Oct 20, 2026
  • Python

Loop until it's better — drop-in agentic loops (autoresearch, scientific writing, data analysis, code/SQL/prompt optimization, red-teaming) as open-standard Agent Skills. Verification-gated; native on Claude Code, portable across Codex, Cursor & other Skills hosts.

  • Updated Jun 30, 2026
  • Python

Official RollingGo Hotel Booking MCP Server. 2M+ hotels at wholesale rates, 40+ LLM compatible. Free unlimited calls for businesses & individual devs. Filter by location, date, star grade, guests & tags; pull real-time room types, pricing & cancellation rules.

  • Updated Oct 20, 2026
  • Python
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Website
github.com/topics/agentic-ai
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