Workflow Engine for Kubernetes
- workflow
- kubernetes
- argo
- dag
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Workflow Engine for Kubernetes
Automation engine to build, test and ship any codebase. Runs locally, in CI, or directly in the cloud
🪓 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.
Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.
Simple but powerful DAG scheduler and dashboard
Generic graph data structures and algorithms for Go (Golang): dependency graphs (DAGs) with cycle checks and topological sort, BFS and DFS traversal, Dijkstra and other shortest paths, connectivity and partitioning. No dependencies.
Distributed batch data processing framework
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).
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.
Topological sort lib,Sorting and pruning of DAG graphs.