Workflow Engine for Kubernetes
- workflow
- kubernetes
- argo
- dag
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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.
- cron
- workflow-engine
- workflow-scheduler
- workflow-orchestration
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
A framework for pluggable business logic components
- railway-oriented-programming
- pipelines
- dsl
- elixir
Flow-based Application Layer Framework
- elixir
- flow-based-programming
- framework
- pipeline
The 30 MB open-source edge AI agent runtime. Run AI agents offline on Linux (Raspberry Pi, Jetson). GPIO, UART, MQTT as first-class nodes. Industrial protocols (OPC-UA, Modbus) on the roadmap.
- ai-agents
- edge-agents
- edge-ai
- edge-computing
A library to build and execute typed scientific workflows
A Go-based framework has been developed to oversee the execution of workflows delineated by directed acyclic graphs (DAGs).
- directed-acyclic-graph
- go
- parallel
- task
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.
🎲 Dotflow turns an idea into flow! — Lightweight Python library for execution pipelines
- etl
- etl-framework
- etl-pipeline
- python
Task pipeline on top of Golem.network