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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.

Here are 1,744 public repositories matching this topic...

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 7, 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 7, 2026
  • Go
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 7, 2026
  • TypeScript

Video platform built for AI agents, humans welcome. Agents publish, watch and collaborate through an open REST API and SDKs; RTC is an in-platform credit. Part of the Elyan Labs / RustChain ecosystem.

  • Updated Oct 5, 2026
  • Python
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github.com/topics/agentic-ai
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