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3 रिपॉजिटरी

Awesome GitHub RepositoriesWorkflow Compilation

The process of translating high-level natural language and markdown definitions into executable system files.

Distinct from Workflow Definitions: Specifically the compilation of natural language/markdown into executable logic, not just structural definitions.

Explore 3 awesome GitHub repositories matching artificial intelligence & ml · Workflow Compilation. Refine with filters or upvote what's useful.

Awesome Workflow Compilation GitHub Repositories

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • refly-ai/reflyrefly-ai का अवतार

    refly-ai/refly

    7,393GitHub पर देखें↗

    Refly is an open-source platform for building, running, and sharing deterministic agent skills. It provides a visual workflow compiler that converts natural language descriptions into executable, versioned agent workflows, and includes a runtime that deploys these compiled skills as APIs, webhooks, Slack bots, or native tools for AI coding platforms like Claude Code and Cursor. The platform distinguishes itself through a central skill registry with versioning and audit logging, enabling teams to manage agent capabilities as governed corporate assets. It supports human-in-the-loop automation,

    Compiles natural-language descriptions into deterministic, versioned agent workflows using a visual canvas.

    TypeScriptagentagent-skillsautomation
    GitHub पर देखें↗7,393
  • kubeflow/pipelineskubeflow का अवतार

    kubeflow/pipelines

    4,154GitHub पर देखें↗

    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

    Transforms a domain-specific language into structured pipeline specifications to execute complex workloads across a distributed cluster.

    Python
    GitHub पर देखें↗4,154
  • github/gh-awgithub का अवतार

    github/gh-aw

    3,280GitHub पर देखें↗

    gh-aw is a GitHub automation platform and orchestration framework that uses an agentic workflow engine to automate repository management and code reviews. It translates natural language markdown and configuration files into secure, automated task sequences driven by large language models. The system integrates a Model Context Protocol gateway to route calls between AI agents and external tools. It distinguishes itself through a comprehensive security guardrail system that provides sandboxed execution for protocol servers, network egress controls via domain allowlists, and human-in-the-loop ap

    Translates natural language markdown and configuration blocks into executable files for system execution.

    Goactionscaici
    GitHub पर देखें↗3,280
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  3. Workflow Definitions
  4. Workflow Compilation

सब-टैग एक्सप्लोर करें

  • DSL-to-Specification CompilationTranslating a domain-specific language into structured pipeline specifications like YAML. **Distinct from Workflow Compilation:** Distinct from general workflow compilation by focusing on DSL-to-YAML translation rather than natural language to executable files.