Event-driven workflows with state machine support
The leading workflow orchestration platform. Run stateful step functions and AI workflows on serverless, servers, or the edge.
Collaborative terminal toolkit for human + AI workflows
AgentKit is a framework for creating and orchestrating AI agents and AI workflows
CLI environment manager for consistent AI workflows
On-device PII anonymization module for high-privacy AI workflows
Realtime orchestration runtime framework for AI workflows and distributed systems.
Deterministic control layer for AI workflows
Typescape CLI - Create reviews, export feedback, and integrate with AI workflows
AGNT5 TypeScript SDK - Durable AI workflows and agents
Long Tail Workflows — Durable AI workflows with human-in-the-loop escalation. Powered by PostgreSQL.
Carbon-aware scheduling for agentic AI workflows — core TypeScript library.
Unified high-level SDK for multi-provider AI workflows.
A framework and platform for building, deploying, and managing enterprise-grade AI workflows
Framework for long-lived, stateful AI workflows (plans)
Primitives for integrating human oversight and intervention in AI workflows
n8n node to request human reviews in AI workflows with gotoHuman
AGNT5 TypeScript SDK - Durable AI workflows and agents
AGNT5 TypeScript SDK - Durable AI workflows and agents
Hold Your Voice — voice gate layer for AI workflows
CLI for Deposium MCP Server - Document search, graph queries, and AI workflows
CMUX MCP Server — programmable terminal control plane for multi-agent AI workflows
Typed builder for Dograh voice-AI workflows
AGNT5 TypeScript SDK - Durable AI workflows and agents
Roast is a Ruby library for running structured AI workflows along with many building blocks for creating and executing them
Ruby AI Agents SDK enables creating complex AI workflows with multi-agent orchestration, tool execution, safety guardrails, and provider-agnostic LLM integration.
MetaWorkflows provides a flexible framework for creating and executing AI-powered workflows with human interaction points, built as a Rails engine for easy integration into existing applications.
Phronomy provides composable building blocks — Agents, Workflows, Tools, Guardrails, and Tracing — for building AI agents in Ruby. Powered by RubyLLM for LLM abstraction.
ace-git gives developers and coding agents focused git context commands and guided workflows for rebases, pull requests, and commit reorganization, with smart diff output and Git 2.23+ guardrails.
Named browser sessions, Ruby workflow DSL, and a token-efficient DOM snapshot format. Built on a browser-agnostic driver layer (Ferrum/CDP backend).
AIA is a revolutionary CLI console application that brings multi-model AI capabilities to your command line, supporting 20+ providers including OpenAI, Anthropic, and Google. Run multiple AI models simultaneously for comparison, get consensus responses from collaborative AI teams, or compare individual outputs side-by-side. With dynamic prompt management, embedded directives, shell and Ruby integration, interactive chats, and comprehensive history tracking, AIA transforms how you interact with AI. Perfect for developers and AI enthusiasts who want to harness the collective intelligence of multiple AI models from a single, powerful interface.
A Ruby gem that sets up Claude AI development workflows, PRD templates, and journaling system for Rails and Python projects
AI Summary is a Ruby gem that inspects your Rails project and generates a developer-friendly summary of your models, tables, controllers, routes, and more. Designed to help AI tools understand your application structure for better code suggestions, onboarding, debugging, or documentation.
Payloop gives AI teams real-time visibility into the true costs of deploying agents - across tasks, workflows, and customers.
Boma Gem for building AI agents, workflows, and service integrations. Boma provides a framework for creating intelligent agents that can perform complex tasks by integrating with various services and APIs. It allows developers to build AI-powered applications with ease, enabling them to automate workflows, make decisions, and interact with users in a natural way.
rralph automates an iterative, AI-assisted development workflow by reading plan.md, learnings.md, and todo.md, then orchestrating AI tool invocations to complete tasks.
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