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Open Source Make Alternatives

A curated collection of the 10 best open source alternatives to Make.

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: AppSmith, Flowise AI, ActivePieces, and Automa.

Make alternatives are mainly Workflow Automation Tools but may also be Low-Code/No-Code Platforms or AI Agent Platforms. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Make.

Written by Piotr Kulpinski

Visual workflow automation platform for building AI agents and business processes, with 500+ integrations, human approval steps, code when needed, and self-hosting.

Screenshot of the n8n website

A workflow automation platform for technical teams that want AI agents and business processes in one place. You build in a visual editor, then drop into code whenever a step needs it. Every step is open to inspect, so the workflow itself serves as the documentation.

It suits developers, IT, security and ops teams who need automations other people can read, run and trust.

  • 500+ native integrations: connect any API through HTTP, and any agent or coding assistant through MCP.
  • Agent visibility: watch agents work live or open any past run inside the same workflow.
  • Rules around AI: structured inputs and outputs, human-in-the-loop approvals, guardrails and evaluations.
  • Easy recovery: spot an error at a glance and re-run only the step that broke. Replay past runs or mock data to skip waiting on external systems.
  • Change tracking: version history shows who changed what, and when.
  • Self-hosting: deploy on-prem or with Docker to keep data in your own environment, or use the hosted version. The source code is on GitHub.

For larger organizations, it adds SSO SAML, LDAP, RBAC permissions, encrypted secret stores, audit logs, log streaming to your SIEM, and Git-based version control with isolated environments and workflow diffs.

Examples from its users include onboarding new hires across Slack, Jira and Notion, triaging alerts with an AI agent, investigating security threats across several tools, and qualifying inbound leads. Huel reports saving 1,000 hours, and Vodafone uses it for security operations.

Low-code platform for creating powerful internal tools and dashboards with drag-and-drop ease, robust integrations, and customizable workflows.

Screenshot of the AppSmith website

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:

  • Rapid Development: Drag-and-drop interface for quick UI creation, coupled with pre-built widgets and templates to accelerate your workflow.
  • Powerful Integrations: Connect seamlessly with databases, APIs, and third-party services to create data-driven applications.
  • Customizable Workflows: Build complex business logic and automate processes with a visual JavaScript editor and built-in query builders.
  • Collaboration Features: Work together efficiently with version control, sharing capabilities, and role-based access control.
  • Security and Compliance: Enterprise-grade security measures, including end-to-end encryption and compliance with industry standards.
  • Flexible Deployment: Choose between cloud-hosted or self-hosted options to meet your organization's specific needs.

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.

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.

Screenshot of the Flowise AI website

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.

Open-source integration platform for seamless workflow automation. Connect apps, automate tasks, and boost productivity effortlessly.

Screenshot of the ActivePieces website

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:

  • No-Code Simplicity: Build complex workflows using an intuitive drag-and-drop interface, making automation accessible to users of all technical levels.
  • Extensive App Integrations: Connect with popular services like Slack, Google Workspace, Trello, and many more to streamline your daily operations.
  • Customizable Triggers: Set up automated actions based on specific events or schedules, ensuring your workflows respond dynamically to your needs.
  • Open-Source Flexibility: Benefit from community-driven development, transparency, and the ability to self-host for complete control over your data.
  • Time and Resource Savings: Eliminate repetitive tasks and reduce human error, allowing your team to focus on high-value activities.
  • Scalable Solutions: Whether you're a small business or a large enterprise, ActivePieces adapts to your growing automation needs.

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.

No-code platform for building AI agents and RPA workflows that automate repetitive business tasks across finance, HR, sales, and operations.

Screenshot of the Automa website

Automa is a no-code automation platform that combines AI agents with robotic process automation (RPA) to handle repetitive business tasks. The idea is straightforward: AI acts as the decision-making layer while RPA handles the actual clicking, typing, and data movement. Teams across finance, HR, sales, and operations use it to replace manual work without needing developers or IT involvement.

The core of the platform is a visual drag-and-drop builder. You connect actions into workflows, set conditions, and deploy agents that run on their own. It connects to tools like SAP and Salesforce, and handles tasks like invoice processing, email management, and spreadsheet work. If you've looked at workflow automation tools before, Automa positions itself at the heavier end, targeting enterprise use cases rather than simple app-to-app triggers.

Key capabilities include:

  • Visual workflow builder for designing automation without code, using drag-and-drop logic
  • AI-powered decisions so agents can adapt to variable inputs rather than following rigid rules
  • RPA execution to interact with desktop apps, web interfaces, and legacy systems
  • Cross-platform deployment across different devices and operating systems
  • Real-time analytics with live dashboards to monitor workflow performance
  • Enterprise security with encryption and compliance controls built in

It covers common departmental workflows out of the box. Finance teams can automate accounts payable and receivable, reconciliation, and month-end close cycles. Customer support, HR onboarding, and CRM data entry are also supported use cases. Tools like n8n or Activepieces focus more on developer-friendly integration pipelines; Automa targets business users who want to build and run agents without touching configuration files.

The platform is built for organizations that want to scale automation across teams without centralizing everything through IT.

Powerful, self-hosted platform for building and running workflows, scripts, and apps with code-first approach and collaborative features.

Screenshot of the Windmill website

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:

  • Language Agnostic: Write in Python, Typescript, Go, Bash, or Deno, giving you the freedom to use the best tool for each task.
  • Self-Hosted: Deploy Windmill on your own infrastructure, ensuring data privacy and compliance with your organization's security requirements.
  • Collaborative Features: Work seamlessly with your team using built-in version control, approvals, and sharing capabilities.
  • Resource Management: Easily manage credentials, environment variables, and resources across your workflows.
  • Flexible Triggers: Schedule jobs, respond to webhooks, or integrate with external services to automate your processes.
  • Visual Flow Editor: Combine scripts visually to create complex workflows, making it easy to understand and modify your automation.
  • Extensible: Build custom apps and internal tools on top of your workflows, leveraging Windmill's powerful API and SDK.

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.

Screenshot of the Trigger website

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.

Screenshot of the Automatisch website

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:

  • Seamless Integration: Connect hundreds of apps and services effortlessly, creating powerful automations that streamline your processes.
  • Data Sovereignty: Host Automatisch on your own infrastructure, maintaining full control over your sensitive information and complying with data regulations.
  • Extensibility: Leverage the open-source nature to add custom integrations and tailor the platform to your specific needs.
  • User-Friendly Interface: Design complex workflows with an intuitive, drag-and-drop interface, making automation accessible to both technical and non-technical users.
  • Cost-Effective: Eliminate subscription fees for multiple integration tools by using a single, self-hosted solution.
  • Community-Driven: Benefit from continuous improvements and updates driven by a passionate community of developers and users.

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.

Screenshot of the Hatchet website

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:

  • AI agents - Hatchet’s durability features allow agents to automatically checkpoint their current state and pick up where they left off when faced with unexpected errors. Hatchet’s observability features and distributed-first approach are built for debugging long-running agents at scale.
  • Massive parallelization - Hatchet is built to handle millions of parallel task executions without overloading your workers. Worker-level slot control allows your workers to only accept the amount of work they can handle, while features like fairness and priorities are built to help scale massively parallel ingestion.
  • Mission-critical workloads - everything in Hatchet is durable by default. This means that every task, DAG, event or agent invocation is stored in a durable event log and ready to be replayed at some point in the future.

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.

Screenshot of the ByteChef website

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:

  • Support for multiple LLM providers including OpenAI, Groq, and self-hosted options
  • Visual workflow builder with optional code customization
  • Rich integration library with 20+ popular services like Slack, GitHub, and Salesforce
  • Enterprise-grade security and performance capabilities
  • Flexible deployment options (cloud or on-premise)

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.

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