Baserow
Open-source no-code database and Airtable alternative
Open-source, AI-native automation platform you can self-host or run in the cloud
Activepieces is an open-source, AI-native automation platform with a visual flow builder, hundreds of connectors, and AI agent and text steps. Its MIT-licensed Community Edition self-hosts free with no run caps, while a managed cloud adds convenience and AI credits, making it a strong Zapier-style option for developers and teams that want ownership and control.
Activepieces is a workflow automation tool built in the open. Its visual builder lets you chain triggers, connector pieces, branching logic, and code steps to automate tasks across apps, similar in spirit to Zapier or Make but with an open-source core. The Community Edition is MIT-licensed with a large contributor base and can be self-hosted for free with no limits on flows, users, or runs, which appeals to teams that want control over data and cost. Activepieces leans into AI as a first-class part of automation. It offers Text AI, Utility AI, and AI Agent pieces that let flows call models to summarize, classify, extract, or reason as part of a workflow. In the cloud, these are powered by AI credits, with different model tiers costing different amounts, and you can bring your own AI key to reduce per-call costs. This makes it a practical way to embed AI steps into operational automations. The cloud service is priced by seats and AI credits, with a free cloud tier and paid Plus and Team plans, while self-hosting shifts cost to your own infrastructure. The trade-offs are that self-hosting requires technical setup and maintenance, cloud AI credit consumption needs monitoring, and the connector library, while large, may not match the breadth of the biggest incumbents for every niche app.
Activepieces is an open-source, AI-native automation platform with a free self-hostable core and a managed cloud, ideal for developers and teams wanting a Zapier-style tool they can own.
Activepieces is an open-source automation company offering a visual workflow builder with a large connector library and native AI steps. Its MIT-licensed Community Edition and active contributor base differentiate it from closed incumbents.
The company monetizes through a managed cloud priced by seats and AI credits while keeping self-hosting free. It targets developers and teams that value control over data and cost.
Activepieces provides triggers, connector pieces, branching logic, and code steps in a visual builder, plus Text AI, Utility AI, and AI Agent pieces for embedding models into flows. Users can bring their own AI keys to reduce per-call costs.
Self-hosting offers unlimited flows and runs on your own infrastructure, while the cloud adds hosted convenience and metered AI credits. An API and webhook support enable integration with internal systems.
Activepieces targets developers, technical teams, self-hosters, and startups that want an open-source, AI-capable automation platform they can own and extend.
Developers and technical operators building automations.
Engineering leads and startups choosing cloud or self-hosting.
Open-source communities and automation enthusiasts.
Technical teams that want a self-hostable, AI-native automation platform with predictable ownership of data and cost.
Activepieces is a venture-backed open-source company; verify the latest funding details with primary sources.
Yes. Its Community Edition is MIT-licensed and can be self-hosted for free with no cap on flows, users, or runs.
Yes. It offers Text AI, Utility AI, and AI Agent pieces that let flows call models, powered by AI credits in the cloud or your own AI key.
Yes. Self-hosting is a core option and is free, though it requires your own infrastructure and maintenance.
The cloud has a free tier plus paid Plus and Team plans priced by seats, with AI credits billed separately based on model usage.
Activepieces is a Zapier-style automation tool with an open-source, self-hostable core and native AI steps, appealing to teams that want ownership and control.
Side-by-side pages for pricing, features, and best-fit use cases.
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