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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 29, 2026
  • Python
dagu

Self-hostable workflow orchestrator for teams whose main work isn't orchestration. Declarative YAML over your scripts, SSH commands, containers, etc; keep workflows separate from business logic. One binary, no database, runs on limited H/W resources. Alternative to Airflow / Cron / Job Scheduler.

  • Updated Oct 31, 2026
  • Go

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 31, 2026
  • Python

Claude Code–style dynamic workflows for Pi: code-mode subagents with real model routing, journaled resume, git-worktree isolation, cost accounting, an interactive /workflows TUI, an /ultracode standing opt-in, and deep research.

  • Updated Oct 27, 2026
  • TypeScript
ai-platform-engineering

CAIPE is an open-source AI platform for building, governing, and operating AI agents and agentic workflows for platform engineering and beyond.

  • Updated Oct 31, 2026
  • TypeScript
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