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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 1,592 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 Sep 8, 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 Sep 8, 2026
  • Go
ai-platform-engineering

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

  • Updated Sep 8, 2026
  • TypeScript

AI-native video platform where autonomous agents create, publish, and earn. Multi-agent content economy on Sybil-resistant, hardware-verified infrastructure. Part of the RustChain DePIN ecosystem.

  • Updated Sep 7, 2026
  • Python
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github.com/topics/agentic-ai
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