9 रिपॉजिटरी
APIs for triggering and managing workflow runs.
Explore 9 awesome GitHub repositories matching web development · Workflow Execution APIs. Refine with filters or upvote what's useful.
Langflow is a visual interface for building and orchestrating workflows, allowing users to construct complex systems through a drag-and-drop canvas. It provides tools for managing autonomous agents, configuring memory settings, and integrating custom code-based components. Users can organize their work into projects, track component versions, and group multiple elements into reusable units. The platform includes an interactive playground for testing workflows, monitoring tool calls, and debugging chat sessions with unique identifiers. Once built, workflows can be executed via RESTful or OpenA
Exposes programmatic endpoints to trigger, authenticate, and manage the execution of automated workflow processes.
Prefect is a workflow orchestration platform designed to define, schedule, and monitor complex data pipelines as Python code. It functions as a container-native engine that wraps individual tasks in isolated environments, ensuring consistent dependencies and resource allocation across diverse infrastructure. By utilizing a state-machine-based orchestration model, the system tracks execution progress through discrete transitions and persistent event logs to maintain reliable and observable task processing. The platform distinguishes itself through a decoupled worker-API architecture, which sep
Provides APIs to query, filter, and update the execution status of workflow runs.
Pentagi is an autonomous security testing framework and agent orchestrator designed to plan and execute end-to-end security assessments. It utilizes a coordination engine to decompose complex goals into actionable subtasks, performing automated penetration testing and vulnerability research within isolated container environments. The system distinguishes itself through a temporal knowledge graph that tracks semantic relationships between entities and vulnerabilities to reuse intelligence across projects. It includes a web intelligence reconnaissance tool for automated data gathering and agent
Provides APIs for triggering and managing the execution of automated security testing workflows.
Elsa Core is a workflow engine framework designed for defining, executing, and managing long-running business processes. It functions as a distributed workflow orchestrator and event-driven trigger system, capable of operating as a multi-tenant platform with secure data isolation. The project distinguishes itself through a flexible approach to workflow definitions, supporting a visual drag-and-drop designer, programmatic C# definitions, and portable JSON specifications. It provides a highly extensible architecture allowing for the development of custom activities and the use of a dynamic expr
Exposes APIs that allow external applications to programmatically trigger and manage workflow runs via REST endpoints.
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,
Triggers a workflow execution by sending variables and returns an execution ID to track progress.
Osmedeus is a security workflow orchestration engine that coordinates AI agents, shell commands, and scanning tools through declarative YAML pipelines. It functions as a distributed security scanner, a declarative workflow automator, and an AI agent framework for security, enabling automated multi-step security analysis with conditional branching, parallel execution, and distributed workers. The engine distinguishes itself through a hybrid runner model that executes workflow steps on the local host, inside Docker containers, or over SSH to remote machines, selected per step or module. It supp
Starts, schedules, and monitors scans programmatically through REST endpoints with token-based authentication.
Azkaban एक वितरित वर्कफ़्लो मैनेजर और DAG-आधारित जॉब ऑर्केस्ट्रेटर है जिसे एक उद्यम बैच प्रोसेसर के रूप में डिज़ाइन किया गया है। यह एक Java-आधारित वर्कफ़्लो इंजन के रूप में कार्य करता है जो Hadoop क्लस्टर पर बिग डेटा वर्कलोड को प्रबंधित करने के लिए विशिष्ट कार्यक्षमता के साथ, निष्पादक सर्वर के क्लस्टर में जटिल जॉब अनुक्रमों को शेड्यूल और निष्पादित करता है। यह सिस्टम एक वितरित निष्पादक मॉडल के माध्यम से खुद को अलग करता है जो उच्च उपलब्धता सुनिश्चित करने के लिए साझा डेटाबेस के माध्यम से स्थिति का समन्वय करता है। यह एक प्लगइन-आधारित आर्किटेक्चर का उपयोग करता है जो कस्टम जॉब प्रकारों और सिस्टम कार्यक्षमता एक्सटेंशन की अनुमति देता है, जिसमें निष्पादक सर्वर को रीस्टार्ट किए बिना प्लगइन्स को हॉट-रीलोड करने की क्षमता शामिल है। यह प्लेटफ़ॉर्म डेटा पाइपलाइन ऑर्केस्ट्रेशन, आवधिक और घटना-संचालित शेड्यूलिंग, और SLA ट्रैकिंग के साथ उद्यम निगरानी सहित क्षमताओं की एक विस्तृत श्रृंखला को कवर करती है। यह सुरक्षित निष्पादन के लिए दानेदार एक्सेस कंट्रोल और यूजर इम्पर्सोनेशन प्रदान करता है, साथ ही निष्पादक लोड बैलेंसिंग और संसाधन कोटा के लिए ट्रैफ़िक प्रबंधन टूल भी प्रदान करता है। उपयोगकर्ता वेब-आधारित इंटरफ़ेस के माध्यम से या वर्कफ़्लो निष्पादन API के माध्यम से वर्कफ़्लो का प्रबंधन कर सकते हैं।
Provides programmatic interfaces to execute, upload, and cancel automated job flows remotely.
Agency Swarm is a multi-agent orchestration framework and development kit designed to coordinate specialized AI agents through defined communication patterns and handoffs. It functions as a system for managing agent swarms, providing an API gateway to expose these coordinated collectives as production-ready HTTP endpoints. The project distinguishes itself through its Model Context Protocol integration layer, which connects agents to external data sources and capabilities. It implements specialized orchestration patterns, such as the orchestrator-worker model and role-based delegation, to tran
Processes external inputs and context to generate responses that drive automated decision-making within a workflow.
This repository is a collection of node-based pipeline configurations, examples, and templates for generating AI media. It provides a workflow library and a curated gallery of blueprints designed for creating images, videos, and 3D assets using diffusion models. The project specifically offers a set of pre-configured node graphs for implementing advanced image generation and refinement techniques, with a focus on Stable Diffusion workflows. These examples demonstrate how to interconnect processing nodes to define complex generative logic without writing code. The available templates cover a
Provides network APIs to programmatically trigger and manage generative workflow runs.