The best open source alternative to Make is n8n. If that doesn't suit you, we've compiled a ranked list of other open source Make alternatives to help you find a suitable replacement. Other interesting open source alternatives to Make are: Flowise AI, AppSmith, Kestra, and ActivePieces.
Make alternatives are mainly Workflow Automation Tools but may also be Workflow Orchestration Tools or Low-Code/No-Code Platforms. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Make.
Build automated workflows connecting 500+ apps, write custom code, and deploy AI agents with full visibility into every decision. Self-hostable or cloud.

n8n is a workflow automation platform built for technical teams who find no-code tools too limiting but want something faster than building integrations from scratch. It sits in the middle: a visual canvas for building workflows, with the option to drop into JavaScript or Python at any step. That combination is what separates it from tools that force you to pick one or the other.
The platform connects to over 500 apps through pre-built nodes, with custom API support for anything not covered. Common use cases include onboarding automation, security incident enrichment, converting natural language into API calls, and generating customer insights from reviews. IT ops, SecOps, DevOps, and sales teams all show up in the documented use cases.
The AI agent capabilities are a significant part of what n8n has become. You can connect any AI model, including cloud or offline options, and build multi-agent setups and RAG systems. Every reasoning step is visible on the canvas, which matters when you need to audit what an agent actually did. Human-in-the-loop approvals can be inserted at any point, and structured inputs and outputs let you control exactly what data flows to and from AI steps.
Debugging is handled more practically than most tools. You can re-run a single step without replaying the entire workflow, mock external data to avoid waiting on third-party systems, and view logs without excessive clicking. AI workflows can be tested against real data before going to production.
Self-hosting is a first-class option. Full source code is available on GitHub, Docker deployment is supported, and the on-prem path includes SSO with SAML and LDAP, encrypted secret stores, RBAC permissions, audit logs, and Git-based version control. Teams that prefer not to manage infrastructure can use the hosted cloud version instead. If you're evaluating alternatives to n8n, options like ByteChef and Nango cover different parts of the integration and automation space.
Looking for open source alternatives to other popular services? Check out other posts in the alternatives series and openalternative.co, a directory of open source software with filters for tags and alternatives for easy browsing and discovery.
Open source platform for building AI agents, chatbots, and multi-agent systems using a drag-and-drop interface, with support for 100+ LLMs and RAG.

Flowise is an open source platform for building AI agents and LLM-powered applications through a visual, drag-and-drop interface. It targets developers and teams who want to prototype and ship agentic systems without writing orchestration logic from scratch. The core idea is modular: you connect building blocks together visually, then deploy the result as a production-ready API or embedded chat widget.
There are two main flow types. Agentflow handles multi-agent systems where work is distributed across coordinated agents, each with defined roles and tools. Chatflow covers single-agent setups and chatbots, including tool calling and retrieval-augmented generation (RAG) from external data sources. Both support Human in the Loop (HITL), letting a human review or approve agent actions before they proceed.
Flowise connects to over 100 LLMs, embedding models, and vector databases. Finished flows are accessible via REST API, a TypeScript or Python SDK, or an embeddable chat widget. That makes it practical to drop AI functionality into an existing product without rebuilding infrastructure around it. If you've used something like Langflow or Dify, the general approach will feel familiar, though the feature sets differ.
Observability is built in. Full execution traces are available for every run, and the platform integrates with Prometheus and OpenTelemetry for teams that need production monitoring. Horizontal scaling is supported through message queues and workers, and deployment works in both cloud and on-premises environments.
The self-hosted version is fully open source. Flowise also offers a managed cloud with a free tier (2 flows, 100 predictions/month) and paid plans starting at $35/month for individuals who want unlimited flows. The Pro plan adds workspaces, role-based access control, and priority support for larger teams.
Flowise has recently joined Workday, though the open source project continues to be developed and maintained.
Low-code platform for creating powerful internal tools and dashboards with drag-and-drop ease, robust integrations, and customizable workflows.

AppSmith is a revolutionary low-code platform that empowers teams to build custom internal tools and dashboards with unprecedented speed and flexibility. Whether you're a developer, product manager, or business analyst, AppSmith provides the tools you need to create powerful applications without extensive coding knowledge.
Key benefits of AppSmith include:
With AppSmith, you can transform your ideas into fully functional applications in hours instead of weeks. Its intuitive interface and robust feature set make it an ideal solution for businesses of all sizes looking to streamline operations, improve productivity, and drive innovation.
YAML-based orchestration platform with 1400+ plugins for running data pipelines, AI workflows, and infrastructure automation across teams at scale.

Kestra is a workflow orchestration platform built around a simple idea: one engine for every team. Data engineers, infrastructure teams, and AI practitioners often end up maintaining separate tools that don't talk to each other. Kestra replaces that fragmentation with a single, declarative platform where all workflows live, run, and get monitored together.
Workflows are written in YAML, which means they're version-controlled, reviewable, and deployable through standard CI/CD pipelines. You don't have to rewrite existing code. Tasks can run in Python, Bash, Node.js, Go, or containers, so teams keep their existing logic and just wire it into Kestra's orchestration layer.
Key capabilities:
Compared to tools like n8n or Temporal, Kestra leans heavily on the declarative YAML approach and cross-team scope. It's not aimed at a single persona. The platform is designed so analysts can build workflows themselves without waiting on engineering, as JP Morgan Chase's team demonstrated when processing billions of rows across thousands of weekly API pulls.
Deployment options include self-hosted on Docker or Kubernetes, an Enterprise Edition with SSO, multi-tenancy, and hybrid/air-gapped support, and a managed Cloud offering. The open-source version is free with no time limit. Over 250 workflow blueprints are available to get started without building from scratch.
Open-source integration platform for seamless workflow automation. Connect apps, automate tasks, and boost productivity effortlessly.

ActivePieces is a powerful, open-source integration platform that empowers users to automate their workflows without writing a single line of code. This versatile tool bridges the gap between various applications and services, enabling seamless connectivity and task automation.
Key benefits of ActivePieces include:
With ActivePieces, you can create powerful automations that sync data between apps, send notifications, update records, and much more. Its user-friendly interface and robust capabilities make it an ideal choice for businesses looking to optimize their processes and boost overall productivity.
Automa is a browser extension for automating repetitive tasks, form filling, screenshots, and web scraping using a visual block-based interface.

Automa is a powerful browser extension that simplifies web automation through an intuitive block-based interface. With Automa, you can easily create workflows to automate repetitive tasks, fill forms, capture screenshots, and scrape website data without writing complex code.
Key features of Automa include:
Automa empowers users to:
Whether you're a marketer collecting data, a researcher gathering information, or simply looking to streamline your daily browsing tasks, Automa provides a user-friendly solution for browser automation without requiring extensive programming knowledge.
Looking for open source alternatives to other popular services? Check out other posts in the alternatives series and openalternative.co, a directory of open source software with filters for tags and alternatives for easy browsing and discovery.
Powerful, self-hosted platform for building and running workflows, scripts, and apps with code-first approach and collaborative features.

Windmill is a versatile, open-source workflow automation platform designed for developers who value flexibility and control. It offers a unique code-first approach, allowing you to create powerful workflows, scripts, and apps using your preferred programming languages.
Key benefits of Windmill include:
Whether you're automating DevOps tasks, creating data pipelines, or building internal tools, Windmill provides the flexibility and power you need to streamline your development processes and boost productivity.
Open source TypeScript platform for building and deploying AI agents and background workflows with retries, queues, observability, and elastic scaling.

Trigger.dev is a managed platform for running long-running TypeScript tasks in production. It handles the infrastructure so you can write straightforward async code without worrying about timeouts, server provisioning, or queue management.
The core use case is AI workflows and agents. You define tasks that can call LLMs, use tools, process files, or chain multiple steps together. Tasks run with automatic retries, configurable backoff, and full execution logs. If something fails, you can replay individual runs from the dashboard.
Beyond AI, it covers scheduled jobs, media processing, browser automation, email sequences, and ETL pipelines. You can run Python scripts alongside your TypeScript code, add system packages, use FFmpeg for video tasks, or automate browsers with Puppeteer.
Realtime lets you stream task status and LLM responses directly to your frontend as tasks progress, without polling. If you want tracing and observability across LLM calls specifically, tools like OpenLIT or OpenLLMetry cover that layer.
Every run is logged with its inputs, outputs, attempt history, and timing. You can filter runs, apply bulk actions, and set up alerts via email, Slack, or webhooks when tasks fail. Each deploy is versioned atomically, so in-flight tasks aren't disrupted by new code.
Pricing is usage-based. You only pay for actual execution time. It's also Apache 2.0 licensed and self-hostable if you prefer to run it on your own infrastructure. For teams comparing workflow orchestration options, Temporal is a common alternative with a different approach to durability and state.
Self-hosted automation tool that connects your apps and services, enabling powerful integrations and efficient data flow across your ecosystem.

Automatisch is a robust, open-source integration platform that revolutionizes the way you connect and automate your digital tools. By providing a self-hosted solution, it puts you in control of your data and workflows, ensuring maximum privacy and customization.
Key benefits of Automatisch include:
Whether you're a small business owner, a developer, or an enterprise IT manager, Automatisch provides the flexibility and power to create efficient, automated workflows that save time and reduce errors across your organization.
Durable orchestration platform for managing AI agents, scheduling background tasks, and running mission-critical workflows.

Hatchet is a durable orchestration platform that helps engineering teams build and deploy mission-critical AI agents, durable workflows, and background tasks. It supports applications written in Python, Typescript, Go and Ruby, and can be used as a service through Hatchet Cloud or self-hosting (it's open-source and 100% MIT-licensed). Hatchet provides a full platform for queuing, automatic retries, real-time monitoring, alerting, and logging.
While Hatchet is particularly well-suited for:
Whether you're a small startup or a large enterprise, Hatchet provides the tools and flexibility needed to accelerate your development cycles, improve code quality, and maintain robust, scalable cloud infrastructure.
Create intelligent automation workflows combining AI agents with your favorite apps and services. Connect, automate, and scale your operations without complex coding.

ByteChef is a versatile open-source automation platform that brings together AI capabilities and workflow automation in one powerful solution. The platform excels at creating sophisticated AI agents that can handle multi-step workflows while seamlessly integrating with popular SaaS applications and APIs.
Key features include:
The platform bridges the gap between business teams and developers, offering both no-code visual tools and deep technical customization options. Whether you're building AI-powered chatbots, automating complex business processes, or creating custom integration workflows, ByteChef provides the flexibility and power to handle diverse automation needs.
Real users praise ByteChef for its ability to deliver enterprise-grade automation without complexity, enabling teams to connect applications in minutes and deploy AI-powered workflows in days instead of weeks. The open-source nature ensures continuous community-driven improvements while maintaining high security and compliance standards.