87 repositorios
Tools and integrations that initiate automated processes based on external platform events.
Distinguishing note: No existing candidates for meeting intelligence workflow triggers; this captures the event-driven integration layer.
Explore 87 awesome GitHub repositories matching development tools & productivity · Workflow Automation Triggers. Refine with filters or upvote what's useful.
Gogs is a self-hosted Git service and repository manager written in Go. It provides a web-based hosting platform for storing version-controlled repositories with a focus on lightweight deployment across various operating systems and hardware architectures. The system distinguishes itself through a single-binary deployment model, which simplifies installation. It also supports repository migration, allowing users to move existing codebases and documentation from other hosting services into a self-managed environment. The platform covers collaborative code development through pull requests and
Initiates automated processes in external applications by triggering webhooks based on repository events.
SillyTavern is a comprehensive interface and orchestration platform designed for immersive AI roleplay and interactive chat experiences. It functions as a unified gateway that connects users to a wide array of local and cloud-based large language models, providing a centralized environment to manage complex character personas, narrative context, and model-driven interactions. The platform distinguishes itself through its advanced prompt engineering and automation capabilities. It utilizes a sophisticated macro-based templating engine and vector-database retrieval to dynamically inject lore, c
Executes complex command-based workflows and triggers to automate character responses and interface actions.
Langfuse is an open-source observability and evaluation platform designed for language model applications. It provides a centralized system for tracking execution traces, monitoring performance metrics, and managing prompt templates. By capturing hierarchical units of work and telemetry data, the platform enables developers to debug complex application lifecycles and analyze token usage, latency, and model interactions in production environments. The platform distinguishes itself through an integrated evaluation framework that allows for systematic benchmarking and automated scoring of model
Triggers actions based on performance events and provides interfaces for external agents to query data and execute tasks.
SRS is a real-time media server designed to ingest, route, and distribute live audio and video streams across various transport protocols. It functions as a multi-protocol stream relay, including a dedicated RTMP media gateway and a WebRTC signaling server to coordinate peer-to-peer media exchanges. The system features a multi-protocol relay engine that transforms incoming media packets between different transport formats without re-encoding. This allows it to serve as a video delivery proxy that routes live media from a single source to multiple concurrent viewers using diverse delivery prot
Executes external scripts or tools in response to specific system events to automate operational workflows.
This project is an AI agent orchestration platform that provides a visual environment for building, testing, and deploying complex automation workflows. It functions as a low-code development interface where users can chain discrete functional blocks into dependency-aware pipelines to integrate artificial intelligence with external data and services. The platform supports the creation of intelligent conversational agents, automated business processes, and multi-service API orchestrations within a unified workspace. The platform distinguishes itself through its event-driven integration engine,
Workflow Platform initiates workflows based on events from meeting completion, note generation, or incoming webhooks within a meeting intelligence platform.
Letta is a framework for building, deploying, and managing autonomous AI agents that maintain persistent state across long-term interactions. It provides a comprehensive suite of primitives for defining agents with configurable personas, modular memory blocks, and tool-use capabilities, enabling them to retain user preferences and conversation history over extended sessions. The platform distinguishes itself through its advanced memory management and orchestration capabilities. It allows agents to autonomously update their own memory, perform retrieval-augmented generation, and coordinate com
Triggers external automation platforms and task-based services to execute multi-step processes based on agent decisions or memory updates.
Wekan es una herramienta de gestión de proyectos Kanban de código abierto y autohospedada utilizada para organizar flujos de trabajo a través de tableros, listas y tarjetas. Es una aplicación web en tiempo real que permite a los equipos gestionar tareas en infraestructura privada. La plataforma se distingue por herramientas de migración de datos extensas, específicamente para importar tableros y tarjetas desde Trello. Admite integración de identidad de nivel empresarial a través de LDAP, OpenID Connect y OAuth2, y ofrece opciones de almacenamiento flexibles, incluyendo PostgreSQL como backend relacional principal y almacenamiento en la nube conectable para archivos adjuntos. El sistema cubre una amplia gama de capacidades de gestión de tareas, incluyendo visualizaciones de diagramas de Gantt, seguimiento de tiempo y agregación de tareas entre tableros. Incluye herramientas administrativas para control de acceso basado en roles, programación de copias de seguridad automatizadas y extensibilidad programática a través de una API REST y webhooks basados en eventos. La aplicación está disponible para su despliegue a través de Docker y admite configuraciones multi-inquilino.
Automates repetitive task movements and external notifications using logic-based rules and webhooks.
DB-GPT is an agentic data analysis platform and business intelligence AI that functions as a large language model data assistant. It provides a text-to-SQL interface and a sandboxed code execution environment to translate natural language into executable database queries and Python scripts. The platform utilizes iterative agentic reasoning to plan and execute multi-step data analysis workflows through tool calls. It features a modular skill-based extension system that allows domain knowledge and analysis workflows to be packaged into reusable functional components. The system integrates data
Automates analytical pipelines by triggering internal scripts and external functions via model-generated tool calls.
This project is a messaging bot bridge and multi-model AI gateway that connects large language models to platforms such as QQ, Telegram, and WeChat. It functions as an AI agent workflow engine, enabling the automation of private and group chat interactions across multiple social communication channels. The system features a multimodal chat interface capable of processing and sending text, voice, and AI-generated images. It includes a web-based management dashboard for administering AI model configurations, monitoring activity, and designing custom bot personalities and persona presets to cont
Enables the design of automated sequences and conditional triggers to handle complex user requests via AI agents.
This project is a collection of implementation guides, recipes, and developer resources for building applications with Llama models. It serves as a comprehensive kit for developing autonomous agents, establishing retrieval-augmented generation systems, and executing model fine-tuning. The resource provides specific patterns for multimodal workflows that process text, images, and audio. It includes specialized guidance on adapting pre-trained model weights for targeted tasks and implementing tool-calling orchestration to connect models with external APIs and functions. The codebase covers a b
Provides orchestrators that use model-generated parameters to trigger multi-step external function workflows.
This project is a curated directory and reference library of open-source Python applications. It serves as a comprehensive index designed to help developers study real-world software architecture, design patterns, and practical implementation strategies through a diverse collection of community-driven projects. The repository distinguishes itself by focusing on the analysis of production-ready software patterns rather than providing a single tool. It offers a structured way to explore how complex features, such as modular plugin systems, configuration management, and various deployment strate
Triggers automated cross-platform workflows in response to specific data events or user-defined criteria.
iTerm2 is a high-performance terminal emulator designed specifically for macOS. It functions as a programmable environment that supports advanced session management, including tabbed windows, split panes, and persistent state serialization to maintain complex workflows across application restarts. The application distinguishes itself through deep shell integration and extensive automation capabilities. It utilizes a Python-based scripting bridge and a regex-driven trigger engine to allow users to programmatically control the terminal, automate responses to output patterns, and integrate exter
Executes predefined commands, scripts, or alerts automatically when specific text patterns are detected in the output stream.
This platform is a low-code database system that combines the flexibility of a spreadsheet interface with the structured power of a relational database. It serves as a collaborative workspace for managing complex datasets, building custom business applications, and automating operational workflows without requiring traditional software development. The platform distinguishes itself through deep integration of artificial intelligence, which enables users to query databases using natural language, generate content, and deploy custom conversational agents trained on internal data. It supports re
Triggers custom actions based on schedules or external events to streamline repetitive tasks.
OpenMetadata is an enterprise data catalog, metadata platform, and governance suite that functions as a knowledge graph for data assets. It serves as an AI-ready metadata layer, providing governed context and organizational memory to large language model agents via the Model Context Protocol. The platform distinguishes itself by capturing institutional knowledge, linking conversations, decisions, and remediation notes directly to data assets to preserve tribal knowledge. It integrates AI agents to automate metadata governance, such as suggesting descriptions and identifying sensitive data thr
Triggers automated governance actions and webhooks based on changes to the underlying metadata state.
Automatisch is an open-source, self-hosted automation platform designed to orchestrate multi-stage workflows across various third-party web services. It functions as a no-code integration engine that allows users to connect disparate applications, enabling the automated movement of data and the execution of tasks without manual intervention. By running the platform on private infrastructure, users maintain full control over their data and ensure compliance with internal security policies. The platform distinguishes itself through a focus on secure, local credential management and flexible int
Starts automated processes using polling or external data triggers as the initial step in a sequence.
dbt-core is a command-line framework for transforming data within a warehouse using modular SQL and version control. It functions as a data transformation engine that enables users to define data structures and business logic through declarative configuration files, which the system then compiles into executable code. By managing complex data dependencies through a directed acyclic graph, it ensures that transformation tasks execute in the correct order while maintaining a manifest-driven state to track lineage and execution history. The project distinguishes itself through an adapter-based d
Supports triggering remote job runs from external orchestration tools to automate workflows and maintain data freshness.
This project is a comprehensive suite of AI tools and frameworks, featuring an LLM multi-agent orchestrator, an autonomous agent runtime, and a stateful application framework. It provides the infrastructure to build and manage specialized AI agents capable of coordinating complex tasks through graph-based workflows and shared state. The system is distinguished by its implementation of the Model Context Protocol, allowing for standardized resource discovery and communication between AI clients and servers. It further includes an AI-powered documentation generator designed to analyze source cod
Constructs complex LLM programs using a graph-based approach to manage state and execution flow.
Formbricks is an open-source survey and feedback platform designed to help teams capture and analyze user insights through targeted, in-app, and website-based interactions. It functions as a comprehensive customer experience analytics system that allows organizations to maintain full control over their data, user attributes, and survey workflows. The platform distinguishes itself through its event-driven architecture, which enables precise behavioral targeting by triggering surveys based on specific user actions or application events. It supports deep integration with external ecosystems by a
Connects survey events to external automation services to trigger actions in third-party tools.
Illa-builder is a low-code internal tool builder and API integration platform used to create business applications and admin panels. It functions as a database GUI dashboard and visual workflow automator, allowing users to connect to databases and external APIs to manage data and automate business processes. The platform provides a self-hosted app framework that can be deployed on private infrastructure via Docker. It enables the creation of custom dashboards and CRMs while maintaining full control over data and hosting. The system includes a visual drag-and-drop canvas for designing user in
Initiates a series of automated actions and processes using schedules or external webhooks.
DataHub is a metadata management platform designed to unify technical, operational, and business context across diverse data ecosystems. By utilizing a graph-based metadata model and an event-driven ingestion architecture, it creates a centralized source of truth that maps complex data relationships, lineage, and ownership. This foundational framework enables organizations to maintain a synchronized view of their data landscape, supporting both human-led discovery and automated data operations. The platform distinguishes itself through its focus on grounding artificial intelligence and autono
Enforces compliance and governance policies through automated, metadata-driven workflows across the data ecosystem.