Headless, unopinionated, multi-step interface builder.
React component library for building declarative multi-step flows.
An Angular module for creating wizards and multi step forms
A simple stepped interface.
A local development tool for debugging and inspecting AI SDK applications. View LLM requests, responses, tool calls, and multi-step interactions in a web-based UI.
Flow-JS makes it easy to express multi-step asynchronous logic in Node or the browser
A react multi-step, wizard component for managing data collection via forms and sub components
A spotlight introduces users to points of interest, from focused messages to multi-step tours.
Illustrate the steps in a multi step process like a form or a timeline.
Multi step and dynamic progress indicator for react
Routing and request handling for a multi-step form processes
Multi-step wizard helpers for Alpine.js
React multi-step forms where logic has no limits - for any use case
React component library for building declarative multi-step flows.
An onboarding spotlight introduces new features to users through focused messages or multi-step tours.
Multi-step C/C++ Build Tool
Workflow and multi-step form utilities for RilayKit
A multi-step container for Element React
Orchestrate complex, multi-step workflows with event-sourced state management, hook-based extensibility, and human-in-the-loop approval
Multi-step workflow pipelines and DAG execution for ElsiumAI
Multi-step approval engine for ObjectStack — sys_approval_process + sys_approval_request + sys_approval_action + IApprovalService.
Stepper (mfp-stepper / mfp-step) for multi-step flows: onboarding, checkout, forms.
Cross-harness testing for multi-step agent and skill workflows
Orchestrate complex, multi-step workflows with event-sourced state management, hook-based extensibility, and human-in-the-loop approval
Git AI: Automates commit messages using ChatGPT. Stage your files, and Git AI generates the messages.
Web scanner built for actual pentests. Fast, modular, Rust.
A flexible LLM proxy library
Runtime fuzzing and invariant-testing harness for MCP servers — catch crashes, hangs, schema drift, and state leaks before they ship.
Runtime fuzzing and invariant-testing harness for MCP servers — catch crashes, hangs, schema drift, and state leaks before they ship.
A Rust library unifying multiple LLM backends.
A Rust library for creating controlled LLM agents with behavioral guidelines, tool integration, and multi-step conversation journeys
Session-based AI development assistant with conversational codebase interaction, multimodal vision support, built-in MCP tools, and multi-provider AI integration
Any database. Any form. Zero hassle.
A Rust library unifying multiple LLM backends.
Long-running multi-step task orchestration runtime for Nexo agents.
A companion crate for async-openai to ease the composition of function calls by leveraging Rust's type system and enums.
Multi-Step is a Rails engine for easily creating multi step forms (i.e. form wizard)
Provides multi-step tasks with finalization and progress tracking
Multi-Step wizard that deals with multiple models and changing step options based on previous step input
BackOps processes multi-step jobs using Sidekiq in a retry-from-failed fashion.
Draíodóir lets you take a regular HTML5 page, and turn it into a multi-step wizard.
Creating a workflow class that organises and supervises micro-services.
Hat-Trick brings together jQuery, validation_group, and Ajax to make multi-step forms awesome. It tries to insulate you from this complexity by providing a simple yet powerful DSL for defining the steps of your form and their behavior.
A helper module for multi-step inputs typical of gov.uk forms. See the README for full instructions.
resque-mission adds Missions (multi-step jobs) to Resque
A mountable Rails engine providing a complete data import workflow: upload/configure, preview with validation, and import. Supports CSV, JSON, XLSX, and API sources with a simple DSL for defining import targets.
Interactively display progress in the terminal for long running multi-step processes
Turns work into multi-step assignments with nested substeps, fork delegation to long-running agent subprocesses, and inspectable session traces. Steps are defined from a catalog, assembled via presets, and driven through a restartable queue.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.