Open-source alternatives to Workflow Builder Template

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

langchaingo is an LLM application framework for Go designed for building language model-powered applications and autonomous agents. It serves as an orchestration library and tool integration framework that allows developers to link prompt sequences and model calls into complex, multi-step workflows. The project provides a toolkit for implementing retrieval-augmented generation pipelines by processing unstructured documents and retrieving relevant context via vector search. It includes a dedicated integration layer for indexing high-dimensional embeddings and performing similarity searches acr

Hatchet is an open-source durable workflow engine and task orchestration platform. It provides a framework for building and executing fault-tolerant, multi-step pipelines as directed acyclic graphs (DAGs), with automatic retries, scheduling, and real-time observability. The system is built around durable task checkpointing, which persists execution state after each step so work can resume from the last checkpoint after a worker crash or restart, and it supports event-driven task resumption that pauses a task until a matching external event arrives. The platform distinguishes itself through it

Langflow is a low-code platform for designing and deploying multi-step AI agent pipelines and large language model sequences. It provides a visual environment to map logic and data flow between components, serving as an orchestrator for managing conversations and data retrieval across multiple autonomous agents. The platform distinguishes itself through a drag-and-drop interface that allows for the construction of complex AI pipelines without extensive boilerplate code. It enables the conversion of these internal workflows into standardized tools for external connectivity via the Model Contex

This project is a JavaScript-based workflow engine designed to execute business process models defined in standard XML. It functions as a stateful orchestrator that manages the lifecycle of complex processes by moving virtual tokens through tasks, gateways, and events. The engine provides a runtime environment for automating business logic, integrating external services, and coordinating human tasks within Node.js or browser-based applications. The engine distinguishes itself through its high degree of extensibility and state management capabilities. It allows developers to inject custom beha

This project is an autonomous workflow engine and orchestration platform designed to coordinate specialized AI agents. It functions as a development framework that manages the end-to-end lifecycle of complex, multi-step tasks, including persona definition, persistent memory management, and the execution of automated coding workflows. By acting as a Model Context Protocol server, it enables standardized communication between development tools and external AI models. The platform distinguishes itself through an event-driven architecture that routes typed messages between agent personas, allowin

Eino is an AI agent development kit and LLM application framework designed for building autonomous agents and orchestrating complex language model workflows. It serves as a multi-agent orchestration engine and workflow orchestrator, providing a graph-based execution model to route data between models, tools, and retrievers. The framework distinguishes itself through a robust set of multi-agent coordination patterns, including supervisor-led management, sequential flows, and autonomous reasoning loops like ReAct. It features advanced agent execution controls such as active turn preemption, che

Flowgram.ai is a workflow development framework for building AI workflow platforms. It provides a visual drag-and-drop canvas for constructing workflows, an Entity-Component-System (ECS) based document model for structuring workflow nodes as a tree, and a node-based form engine for managing configuration forms with built-in rendering, validation, side effects, and error handling. The framework also includes a workflow execution engine that parses directed graph workflows and runs nodes step by step with state tracking and array iteration. The framework distinguishes itself through a layered r

Typia is a compile-time code generator that transforms TypeScript type annotations into runtime validation, serialization, and schema functions without requiring decorators or separate schema files. It generates optimized validation and serialization code during TypeScript compilation, producing dedicated functions for each type that eliminate runtime schema objects for faster execution. The project extends this core capability into several integrated areas. It generates fully typed client SDKs from NestJS controller source code, keeping server and client types synchronized automatically. It

imove is a visual workflow engine and low-code logic designer that allows for the creation of executable business rules via flowcharts. It functions as an event-driven process orchestrator, triggering specific logical sequences based on user interface interactions or external network signals. The platform operates as a node-based automation system where data is processed through a chain of discrete, parameterizable code modules. It converts graphical flowchart representations into executable logic steps for both server and client-side processing. The system supports modular logic engineering

This project is an AI frontend code generator and design system framework designed to convert visual references and images into functional frontend source code. It provides a system for translating image layouts and styling into code while ensuring layout and styling accuracy. The framework includes a prompt engineering library and portable style instructions that enforce the generation of complete, production-ready source code, preventing the use of placeholders or unfinished segments. It utilizes a multi-modal feedback loop and visual-to-code mapping to maintain consistency between high-fid

This project is a comprehensive reference library of runnable code samples and implementation guides for Web APIs, CSS features, and modular web components. It provides a collection of live demonstrations illustrating how to implement browser APIs and programmatic DOM manipulation. The repository includes specialized demonstrations for interacting with device hardware, such as sensors, Bluetooth, USB, and foldable screen posture detection. It also features implementation guides for modern styling capabilities, including advanced layout patterns, custom functions, and painting APIs, alongside

Hive is an artificial intelligence workflow automation engine and development platform designed for building and deploying autonomous agents. It provides a framework for orchestrating complex, multi-step business processes by coordinating tasks across multiple specialized agents using directed graph structures. The platform distinguishes itself through a focus on production-grade reliability and state management. It maintains persistent execution context and conversation history on disk, enabling crash recovery and continuity for long-running automated sessions. Furthermore, it incorporates a

Eigent is a comprehensive platform for developing, configuring, and orchestrating autonomous AI agents. It functions as an agent development environment and workflow automation engine, enabling users to build modular agents equipped with custom toolsets, domain-specific skill packages, and external API connections to perform targeted operational tasks. The framework distinguishes itself through a robust multi-agent orchestration layer that coordinates teams of specialized agents to execute complex workflows. By utilizing hierarchical task decomposition, the system breaks high-level goals into

This project is an artificial intelligence-powered frontend generator that translates visual design inputs into functional source code. It functions as a workflow engine that interprets graphical user interfaces, mapping layout structures and styling rules to structured markup and programming language syntax. The tool distinguishes itself by supporting both static design mockups and dynamic video recordings. It processes temporal and spatial information from screen captures to reconstruct interaction flows and state transitions, enabling the creation of functional software prototypes from vis

Agent Squad is a multi-agent system orchestrator and language model agent orchestration framework. It serves as an AI workflow automation engine and tool integration layer designed to coordinate teams of specialized agents to solve complex tasks through routing, parallel execution, and state management. The project is distinguished by its ability to dynamically compose purpose-specific agents on-demand and route requests based on intent, language, or domain expertise. It supports advanced coordination patterns, including parallel subtask distribution, sequential task pipelines, and the abilit

AutoGPT-Next-Web is a browser-based dashboard designed for the configuration, deployment, and monitoring of autonomous artificial intelligence agents. It provides a centralized interface for managing agent lifecycles and task execution, allowing users to orchestrate complex workflows through a unified platform. The platform distinguishes itself by acting as a secure, access-controlled portal that protects management tools and execution logs behind mandatory authentication codes. It features a provider abstraction layer that routes requests to multiple artificial intelligence services, enablin

iflow-cli is a command-line interface and suite of AI tools designed for software engineering, workflow orchestration, and multimodal data analysis. It functions as an LLM command line interface that enables users to execute AI workflows, analyze codebase structures, and interact with large language models directly from the terminal. The project features a plugin-based agent architecture that allows for the integration of specialized domain experts and custom instruction sets from an external marketplace. It distinguishes itself through a multimodal AI terminal capable of processing visual da

Grist is a relational spreadsheet platform that combines the flexibility of a spreadsheet with the power of a relational database. At its core, it manages structured data across multiple linked tables, using a relational database engine to organize information while providing a familiar grid interface. The platform supports Python-based formulas for complex calculations and data transformations, with automatic recalculation when referenced cells change. The system is designed for self-hosted deployment, storing data in either portable SQLite files or enterprise-grade PostgreSQL databases. It

Mediago is a multi-platform video downloader and extraction utility that supports content retrieval from over a thousand different social and video sharing platforms. It functions as an AI-powered download automator that uses natural language commands to trigger and manage video download workflows. The project provides specialized capabilities for sniffing and capturing m3u8 and HLS video streams via a browser extension that detects resources on active web pages. It can be deployed as a containerized headless server, allowing users to manage remote download tasks across a network through a we

Osaurus is a local AI workflow engine and LLM agent orchestration framework designed for private execution on local hardware. It functions as a desktop application automator and a voice-controlled AI interface, enabling the development of autonomous agents that can write code, execute tools, and operate a computer without keyboard or mouse input. The system is distinguished by its ability to control native desktop applications via accessibility APIs and manage web interactions through a headless browser automation tool. It supports a local-first execution model and on-premises deployment with

Gauzy is an open business management platform and multi-tenant enterprise resource planning system. It provides a modular business framework designed to manage core organizational operations through a unified web interface or as a headless business API. The platform is distinguished by its integration with the Model Context Protocol, allowing it to act as a server that exposes business data and system functions as tools for AI assistants. It utilizes a dynamic plugin architecture and a dedicated marketplace to extend core business entities and services. The system covers a broad range of ope

EvoAgentX is an agent platform that combines human-in-the-loop checkpoints, MCP tool integration, multi-agent workflow orchestration, and self-improvement capabilities. It functions as a self-improving agent framework that connects to MCP-compatible servers and orchestrates multi-agent workflows using natural-language goals, while also serving as a platform that discovers, configures, and manages tools from MCP servers for use in automated agent workflows. The platform distinguishes itself through a dual-memory agent architecture that maintains short-term and persistent memory stores, enablin

imove is a visual workflow orchestrator and domain-specific language designer. It provides a graphical canvas for mapping complex functional logic and designing operational workflows through a node-based interface. The system functions as a visual flowchart to code generator, converting logic diagrams into an executable domain-specific language for software development kits. It includes a custom logic node framework that allows for the integration of external plugins and the creation of custom functions to extend the available node library. The platform supports node-based logic design and r

BrowserOS is an AI agent browser orchestrator and automation framework designed to manage browser state and execute complex web workflows. It functions as a local AI browser assistant and a Model Context Protocol controller, enabling the control of browser tabs, windows, and navigation through programmable AI agents and standardized context protocols. The system distinguishes itself through a graph-based visual workflow builder for creating repeatable automation sequences and the use of markdown-based files to define agent personalities and task recipes. It supports multi-provider orchestrati

This repository provides reference implementations and templates for multi-agent orchestration, retrieval-augmented generation systems, and human-in-the-loop patterns. It contains a collection of implementation patterns for coordinating multiple AI agents to automate complex business workflows and tasks. The project demonstrates how to decouple operational logic from setup by using structured text files for agent roles and task specifications. It includes guides for integrating vector search and document processing to build question and answer systems based on external knowledge bases, as wel

Agenta is a Prompt Ops lifecycle manager and prompt management platform that decouples prompt engineering from application code. It serves as a centralized system for developing, versioning, and deploying prompt templates and model configurations across different environments. The platform functions as an AI agent orchestrator with a visual interface for building agent workflows and connecting models to external tools. It further acts as an evaluation framework and observability tool, utilizing OpenTelemetry to capture execution traces, monitor latency, and track token costs. The system cove