Loopy: Agent workflows that run when your data changes
Loopy is a platform that enables agent workflows to execute automatically whenever underlying data changes, allowing for event-driven automation and reactive processing.
Background
Loopy is a new developer tool (from the startup Loopy Inc.) that treats data streams — not user prompts — as the trigger for AI agents. Instead of running an agent once when you press "go", Loopy lets you set up persistent agent workflows that re-run automatically whenever a data source (a database row, a webhook, a file, an API feed) changes. It competes in the emerging "agentic workflow" space alongside tools like LangChain, AutoGPT, and n8n, but focuses on event-driven, reactive pipelines rather than single-shot LLM calls. The idea is that many useful AI tasks — triaging tickets, summarizing new documents, monitoring prices — should run continuously in the background, not wait for human input. Loopy targets developers building production systems, not end-users, and positions itself as an open-core product (the core engine is available under a source-available license).