Hypi
AI workflow engine that turns tasks into self-adaptive, self-healing DAG-based workflows using LLM planning
| What is it | AI workflow engine that turns tasks into self-adaptive, self-healing DAG-based workflows using LLM planning |
|---|---|
| Pricing | Unknown |
| Platform | Web Application |
| API | Yes |
| Best for | building automated customer onboarding workflows, orchestrating multi-step AI agent tasks |
| Domain registered | 2020 |
Data updated Aug. 1, 2026
What does Hypi do?
Hypi is an AI-powered workflow engine that turns any task into a self-adaptive, self-healing directed acyclic graph (DAG) of steps. Instead of rigid scripts or brittle chains of API calls, Hypi lets you define a business event or message as input, and an LLM plans the optimal sequence of actions. The engine then executes those steps in parallel where possible, retries failed steps automatically, and logs everything for full traceability. It's built from the ground up to run in modern environments — browser, edge functions, or serverless — thanks to its WASM-first architecture.
How it works is straightforward: you send a message (like a customer onboarding request), Hypi's LLM analyzes the task and creates a structured plan with dependencies. Each step runs when its prerequisites are met, and if something fails, the engine retries without manual intervention. The system is designed to be observable by default — every action produces structured events, so you can inspect exactly what happened and why. The logic evolves as conditions change, no central coordinator needed. It's a modular, message-centric approach that feels more like building with Lego blocks than wrestling with monolithic orchestration tools.
This tool is ideal for developers and AI engineers who need to automate complex, multi-step processes — think customer onboarding, data pipelines, or AI agent coordination. DevOps teams will appreciate the built-in retries and observability for production systems. Hypi cuts through the complexity of traditional workflow tools by letting an LLM handle the planning while you focus on the actual business logic. It's practical, resilient, and refreshingly straightforward.
Key features
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