Best open-source alternatives to Make (Integromat)

n8n is a workflow automation platform aimed at technical teams that want both low-code convenience and the flexibility to extend automations with code. It combines a visual interface with support for JavaScript, Python, and npm packages, making it suitable for users who need more control than typical no-code tools provide. The project is designed for self-hosted deployments as well as a hosted cloud offering. Its README emphasizes enterprise-oriented capabilities such as advanced permissions, SSO, and air-gapped deployments, alongside a large ecosystem of integrations, templates, and AI-native workflow building based on LangChain.

Flowise is a visual application for building AI agents. It is aimed at developers and teams that want to assemble agent workflows through a browser-based interface rather than writing everything from scratch. The project is structured as a monorepo with a Node backend, a React frontend, and third-party component integrations. The README emphasizes local installation, Docker-based setup, and self-hosted deployment options across multiple infrastructure providers. It also points to generated API documentation and environment-variable-based configuration, indicating that the project is designed to be customized and run in private environments as well as through the hosted Flowise Cloud offering.

Huginn is a self-hosted automation platform for people who want to create agents that monitor events online and perform actions automatically. It is positioned as a hackable, server-based alternative to services like IFTTT or Zapier, emphasizing that users keep control of their data. The system models automations as agents that consume and emit events through a directed graph. The project targets technically inclined users who want to build custom workflows for tasks like tracking weather, monitoring social media terms, scraping sites, sending alerts, and connecting to third-party services. It can be run locally for development, deployed via Docker or manual installation, and extended through custom agents and external agent gems. The README also documents setup requirements, testing tools, and several deployment paths.

Minds Platform is presented as a general-purpose AI system for knowledge workers such as creators, strategists, and operators. It is meant to help users get work done with software they can control and extend, and it is positioned for deployment across local and hosted environments rather than being limited to a single cloud service. The README describes two main ways to use it: a ready-made web or desktop app, and a source-based setup for developers. It emphasizes tasks like automating repetitive reading/writing workflows and creating internal AI tools or deliverables such as reports, decks, docs, and analyses. It also highlights flexible deployment in cloud, VPC, on-prem, and air-gapped environments.

ToolJet is an open-source foundation for ToolJet AI, positioned as a platform for building and deploying internal tools, workflows, and AI agents. The README presents the community edition as a visual, low-code builder aimed at teams that need to assemble internal applications quickly, connect them to business data, and extend them with custom logic. It appears to target organizations that want self-hosted internal tooling with collaboration and security features. The community edition emphasizes a drag-and-drop editor, a built-in database, broad connector support, and the ability to run JavaScript and Python inside apps. The enterprise-facing ToolJet AI layer adds AI-assisted app creation, query building, debugging, role-based access control, advanced permissions, multi-environment management, Git sync, and white-label customization.

Sim is an open-source platform for creating AI agents and operating agentic workflows. It is aimed at users who want to visually design, connect, and run automation flows that combine agents, tools, integrations, and language models. The project supports a cloud-hosted experience as well as self-hosted deployment options. In self-hosted setups, it can be run through Docker Compose, an NPM package, or manual installation, and it also supports local AI models through Ollama and vLLM. The README also describes Copilot features for generating nodes and helping users iterate on workflows, along with knowledge upload and retrieval for grounding agent responses in user-provided documents.

Budibase is an open-source operations platform designed to help teams build AI-driven agents, apps, and automations. It is aimed at organizations that want to reduce manual operational work by connecting requests, approvals, processes, and business systems in one self-hostable platform. The project supports both cloud-hosted and self-hosted deployments, with documentation for Docker, Docker Compose, Kubernetes, and Digital Ocean. Its public API is positioned for extensibility and interoperability, and the repository also points to modular server, builder, and client packages that power the overall system. Budibase appears to be built for collaborative, multi-user operational environments. The README highlights global management of users, onboarding, SMTP, apps, groups, theming, and delegation of user management to group managers, while also noting paid features under a Business Source License.

Kestra is an open-source orchestration platform for automating workflows that are either scheduled or triggered by events. It is designed for teams building data pipelines, process automation, and microservice orchestration, with a strong emphasis on Infrastructure as Code and declarative definitions. The project centers on YAML-based flows that can be created and edited from a web UI, then synced back to version control or managed via API and infrastructure tooling. Its plugin ecosystem lets users run scripts, query databases, interact with cloud services, and respond to events from many external systems, while the UI provides visualization and editing assistance for building and operating workflows.

Node-RED is a low-code development tool for building event-driven applications. It is aimed at developers and makers who want to wire together data sources, services, and logic visually rather than writing everything from scratch. The project is run as a Node.js application and can be started locally after installing it with npm. Its ecosystem includes a library of nodes, reusable flows, and collections, along with documentation and community support through the forum and Slack. The README also points to custom nodes and integrations, suggesting that the platform is designed to be extended and adapted to many automation and integration use cases.

Activepieces is an open source automation platform designed as an alternative to Zapier. It combines a visual, no-code workflow builder with an extensible pieces framework written in TypeScript, allowing developers to create integrations and logic that can be reused across the platform. The README emphasizes both technical flexibility and accessibility for non-technical users. The project is aimed at teams and organizations that want to automate workflows, connect services, and customize their automation stack while keeping control over deployment. It supports a broad integration ecosystem, AI-oriented pieces, human-in-the-loop interactions, and MCP availability for use with LLM tools such as Claude Desktop, Cursor, and Windsurf. The community edition is MIT licensed, while enterprise features are offered under a separate commercial license.