Workflow Engine for Kubernetes
- workflow
- kubernetes
- argo
- dag
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Workflow Engine for Kubernetes
C++ Parallel Computing and Asynchronous Networking Framework
🪓 An orchestration engine for background tasks, AI agents, and durable workflows
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.
Translated【A common used C++ & Python DAG framework】 A general-purpose, third-party-dependency-free, cross-platform parallel computing framework based on flow graphs, listed in awesome-cpp. Welcome to star & fork & discuss
Multi-agent orchestration & workflow engine. Declarative YAML workflows, LLM coordinator with hub-and-spoke mailboxes, race-safe delivery. One YAML file, one Go binary. Runs on any goai-supported provider.
A Go-based framework has been developed to oversee the execution of workflows delineated by directed acyclic graphs (DAGs).
Distributed, Scalable, Fault-Tolerant, Minimalistic Workflow Engine - No DAGs, No YAML, No Cumbersome Diagrams, Just Code
Local-first automation Agent & deterministic workflow engine — the secure control layer between AI and your data. Data stays local. Connect your own LLM / files / notes / databases via Connector API. ReAct reasoning · DAG/WAL/Saga/idempotent execution · MCP · offline-capable.