# workflow-automation
23 tools tagged
Showing 23 of 23 tools
BeeAI Framework
Python and TypeScript framework for production multi-agent systems
BeeAI Framework is an Apache-2.0 toolkit for building production-ready AI agents and multi-agent systems in Python and TypeScript. Its docs cover agents, tools, RAG, memory, workflows, backend providers, serving, and A2A/MCP integration surfaces, making it a vendor-neutral option for teams comparing LangGraph, CrewAI, Mastra, and related agent runtimes.
Notion MCP Server
Official Notion MCP server for AI-agent workspace access
Notion MCP Server is Notion's official MIT-licensed MCP server for connecting AI assistants to Notion workspaces. It supports the vendor-backed remote OAuth path and tools designed for page, workspace, and Markdown-style operations, making it a safer default than unofficial Notion bridges for teams already using Notion for docs, projects, or internal knowledge bases.
Executor
MCP gateway and integration catalog for AI agents
Executor is an MIT-licensed integration layer and MCP gateway for AI agents. It gives Claude Code, Cursor, Codex, and other MCP-speaking clients one endpoint for connected OpenAPI specs, GraphQL APIs, MCP servers, Google Discovery sources, and custom JavaScript tools, with local, cloud, and self-hosted deployment options for teams centralizing tool access.
Anthropic Agent Skills
Official Claude Agent Skills examples, spec, and plugin marketplace for reusable agent capabilities
Anthropic Agent Skills is Anthropic's official reference repo and Claude Code plugin marketplace for reusable Skill folders. It packages example SKILL.md workflows, document skills, a Claude API skill, templates, and the Agent Skills spec so teams can turn repeatable instructions, scripts, and resources into on-demand Claude capabilities instead of copying prompts across sessions.
agmsg
Cross-agent messaging for CLI coding agents
agmsg is an MIT-licensed Bash and SQLite messaging layer for CLI coding agents. It lets Claude Code, Codex, Gemini CLI, GitHub Copilot CLI, Antigravity, OpenCode, Hermes, and other terminal agents exchange messages through a shared local database instead of relying on a human copy-paste relay. It is intentionally not MCP, not a broker, and not a subagent framework.
eve by Vercel
Filesystem-first framework for durable AI agents
Eve is Vercel's filesystem-first TypeScript framework for building durable AI agents as ordinary project files. It combines Markdown instructions and skills, typed tools, channels, connections, subagents, schedules, sandboxes, and evals with Vercel's agent runtime so teams can ship deployable agents without hand-rolling orchestration. The current beta fits Vercel-native backend agent projects.
Windows-MCP
MCP server for controlling Windows desktops through UIAutomation
Windows-MCP is an open-source MCP server for giving AI agents structured access to Windows desktop automation. It focuses on UIAutomation, snapshots, input control, and Windows-specific app workflows, making it different from general filesystem or shell MCP servers.
DenchClaw
Local AI CRM and workflow automation on OpenClaw
DenchClaw is a local AI CRM and workflow automation app built on OpenClaw. It runs on a Mac at localhost, lets users chat with local business data, and focuses on lead enrichment, founder/customer research, and outreach automation. It belongs beside local AI, workflow automation, and OpenClaw-style personal-agent tools rather than pure coding IDEs.
Fabric
Modular AI prompt framework for everyday tasks
Fabric is an open-source framework that organizes AI prompts into reusable patterns for solving everyday tasks like summarizing content, explaining code, extracting insights from videos, and generating social media posts. Written in Go with support for 20+ AI providers including OpenAI, Claude, Gemini, and Ollama, it runs from the command line and can serve as a REST API. With 40,000+ GitHub stars, Fabric bridges the gap between AI capabilities and practical workflow automation.
Relevance AI
No-code platform for building AI agent workforces
Relevance AI is a no-code platform from Sydney, Australia for building and deploying AI agent workforces that execute business workflows autonomously. Backed by a $24M Series B led by Bessemer Venture Partners, it offers 9,000+ integrations, a visual agent builder, a marketplace of pre-built agents, and multi-model support across OpenAI, Anthropic, and AWS Bedrock. Agents handle sales development, lead research, meeting prep, onboarding, and support workflows.
LinearB
Engineering intelligence for DORA metrics and workflow automation
LinearB is a software engineering intelligence platform trusted by over 3,000 engineering leaders to track DORA metrics, cycle time broken into four phases (coding, pickup, review, deploy), and developer workflow patterns. It connects to Git repos and project management tools, benchmarks team performance against 8.1M+ pull requests from 4,800 organizations, and automates workflow improvements via gitStream — a policy-as-code engine for PR routing, labeling, and review automation.
Dagu
Single-binary workflow engine with zero dependencies
Dagu is a local-first, self-contained workflow engine that runs as a single binary under 128MB of memory with no database, message broker, or runtime dependencies. Workflows are defined in declarative YAML and can orchestrate shell commands, Docker containers, SSH sessions, HTTP calls, and SQL queries. It includes a built-in Web UI with DAG visualization and Gantt charts, plus an AI agent that creates and debugs workflows from natural language via Slack or Telegram.
Pipedream
Connect 2,800+ APIs for workflows and AI agents
Pipedream is a developer-focused workflow automation platform that connects over 2,800 APIs with managed OAuth and credential handling, letting teams build integrations using Node.js, Python, Go, or Bash alongside a visual no-code builder. Its MCP server exposes 10,000+ pre-built tools to AI agents for direct API access through LangChain, CrewAI, and other frameworks. Pipedream is SOC 2 Type II and HIPAA compliant with credit-based pricing starting at a free tier of 100 credits per month.
Node-RED
Low-code visual programming for event-driven apps
Node-RED is a flow-based, low-code development tool originally created by IBM in 2013 for wiring together hardware devices, APIs, and online services. Now an OpenJS Foundation project with nearly 23,000 GitHub stars, it provides a browser-based visual editor where flows are built by dragging and connecting nodes, then deployed to the Node.js runtime in a single click. Over 5,000 community-contributed nodes cover protocols like MQTT, Modbus, and OPC-UA alongside cloud APIs and databases.
Windmill
Turn scripts into workflows, UIs, and APIs at scale
Windmill is an open-source workflow engine and developer platform built in Rust that turns scripts in Python, TypeScript, Go, Bash, SQL, and other languages into auto-generated UIs, API endpoints, workflows, data pipelines, AI agents, and scheduled jobs. The project publishes performance benchmarks against Airflow/Prefect/Temporal, supports Docker/Kubernetes self-hosting, and offers paid enterprise features.
Kestra
Declarative orchestration for data, AI, and infra
Kestra is an open-source orchestration platform that uses declarative YAML to define event-driven and scheduled workflows for data pipelines, infrastructure automation, and AI workloads. With over 1,200 plugins, it connects to databases, cloud services, APIs, and SaaS tools without custom glue code. Kestra reached version 1.0 LTS with agentic AI capabilities, SDKs for Python, TypeScript, Java, and Go, and SOC 2 compliance. Clients include Leroy Merlin, Huawei, Tencent, and Decathlon.
Temporal
Durable execution for fault-tolerant workflows
Temporal is an open-source durable execution platform that ensures application code runs to completion regardless of failures or outages. It captures workflow state at every step, enabling seamless recovery without custom retry logic. With SDKs for Go, Java, Python, TypeScript, and .NET, Temporal powers mission-critical orchestration at Netflix, Nvidia, and other enterprises. Valued at $5B, it replaces fragile cron jobs, state machines, and saga patterns with resilient workflow-as-code.
Make
Visual automation platform for complex workflows
Visual workflow automation platform formerly known as Integromat, built around a drag-and-drop canvas for complex multi-step workflows. Features routers for conditional branching, iterators for array processing, aggregators, webhooks, and HTTP modules for custom API calls. Best suited to power users and technical teams that need granular data transformation and workflow logic rather than only simple trigger-action automations.
Zapier
No-code automation platform connecting 9,000+ apps
The most popular no-code automation platform connecting 9,000+ apps and app connections to automate workflows without writing code. Features multi-step Zaps with conditional logic, AI Copilot for natural language workflow creation, Tables, Forms, and MCP integration for AI orchestration. Task-based pricing with a free tier at 100 tasks/month. Used by businesses from solo operators to enterprise teams for eliminating repetitive work across their software stack.
Agentic Workflow
AI-driven development workflow template
A template system that bootstraps AI-driven development workflows for your projects. Provides structured workflows, templates, and configurations for integrating AI agents into your development process. Reduces setup time by giving teams a proven starting point for organizing AI-assisted coding, task management, and quality assurance in new and existing repositories.
Conductor
Workflow orchestration engine
Netflix-originated workflow orchestration platform with JSON and code-based workflow definitions, human-in-the-loop support, and AI agent orchestration capabilities. With 18k+ GitHub stars, Conductor handles complex distributed workflows at massive scale, offering built-in retry logic, event-driven triggers, and visual workflow monitoring for microservice coordination.
n8n
Workflow automation with AI nodes
Open-source agents framework by OpenAI for building production-ready AI agent applications. Provides primitives for agent creation, tool use, handoffs between agents, and guardrails. Designed to be lightweight and opinionated, offering a clear path from prototype to production with built-in tracing and debugging for complex multi-step agent workflows.
Alfred
Productivity app for macOS
Powerful productivity launcher and automation tool for macOS that goes beyond Spotlight with custom workflows, clipboard history, snippets, and file navigation. Workflows combine hotkeys, keywords, scripts, and actions into automation chains. Supports AppleScript, JavaScript, Python, and shell scripts. Features 1Password integration, system commands, and a rich community workflow gallery. The original Mac launcher, still preferred by many power users over Raycast.