The open agent control plane. Govern autonomous AI agents with pre-execution policy enforcement, approval gates, and audit trails. Works with LangChain, CrewAI, MCP, and any framework.
cordum-io/cordum 的主要功能包括：Agent Frameworks, Workflow Orchestration, General Purpose Orchestration, 安全与隐私。
cordum-io/cordum 的开源替代品包括： imran-siddique/agent-os — A kernel architecture for governing autonomous AI agents. logspace-ai/langflow — Langflow is a low-code platform for designing and deploying multi-step AI agent pipelines and large language model… argoproj/argo-workflows — Argo Workflows is a container-native workflow engine that functions as a Kubernetes custom resource controller. It… couler-proj/couler — Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows,… kubeflow/pipelines — This project is a containerized machine learning workflow engine and orchestrator designed to automate the end-to-end… n8n-io/n8n — n8n is a workflow automation platform that combines a visual interface with code-based extensibility to design,…
Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.
A kernel architecture for governing autonomous AI agents
Argo Workflows is a container-native workflow engine that functions as a Kubernetes custom resource controller. It orchestrates complex sequences of containerized tasks by executing them as directed acyclic graphs, allowing for dependency management and parallel processing within a cluster. The system extends the native Kubernetes control plane to manage the full lifecycle of automated processes, from initial triggering to final resource cleanup. The platform distinguishes itself through its controller-pattern reconciliation, which continuously monitors workflow states to align them with desi
This project is a containerized machine learning workflow engine and orchestrator designed to automate the end-to-end lifecycle of machine learning models on Kubernetes clusters. It functions as an MLOps pipeline compiler that transforms a domain-specific language into structured specifications for portable and scalable deployment. The platform provides a multi-tenant environment with isolated namespaces and identity provider authentication. It distinguishes itself through a combination of container-based task isolation, strongly typed artifact management for data passing, and content-address