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Activepieces

Activepieces is an AI-powered AI Agents tool — Open-source AI automation platform. Best for: AI Agents. Pricing: Freemium (GateOnAI Score: 49/100).

Open-source AI automation platform

FreemiumVerified

Activepieces lets users create automated workflows that connect APIs, databases, and AI models without writing extensive code. The visual canvas supports trigger events like webhooks, schedule timers, or file changes, then routes data through actions such as HTTP requests, data transformations, or calls to OpenAI, Anthropic, and other LLM providers. Users can embed custom JavaScript or Python snippets for edge‑case logic, and each step includes real‑time logs for debugging. The platform runs on Docker, enabling self‑hosted deployments behind firewalls. A built‑in template library offers pre‑made recipes for common tasks such as lead enrichment, sentiment analysis, and document summarization, which can be cloned and edited. Version control tracks changes, allowing rollback to previous workflow states. Environment variables store API keys securely, and role‑based access restricts who can edit or execute flows. Activepieces integrates with Slack, Google Sheets, and GitHub, making it suitable for DevOps alerts, marketing data pipelines, and internal ticket routing. The free tier provides unlimited workflows on a single instance, while paid cloud plans add scaling, priority support, and managed hosting. Target users include software developers, data engineers, and product teams that need flexible automation with AI capabilities. The open‑source license encourages community contributions and custom connector development. Pricing is transparent: the core platform remains free, and the hosted service charges per execution volume beyond a generous free quota. Because the system runs on user‑controlled infrastructure, compliance teams can audit code and data flow. Compared with commercial RPA tools, Activepieces sacrifices polished UI polish for extensibility, but it delivers a cost‑effective way to embed AI into existing processes.

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