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Hypi is an agentic workflow engine that transforms tasks into self-adaptive workflows. Built by the Applied AI Lab, it addresses the gap between AI capabilities and real-world usability by engineering practical, modular systems. The core capability is a message-centric orchestration that uses a self-healing DAG-based execution model. It runs in browser, edge, or serverless environments via WASM, and features LLM-native planning with interpretable logic. Hypi is designed for developers and teams building resilient, observable AI workflows. It fits into CI/CD pipelines, customer onboarding, and any process requiring reliable automation. The tool emphasizes observability, retries, and adaptability without a central coordinator.
4.2/5
Reliable and traceable
Minimal and developer-focused
To orchestrate resilient, self-adaptive AI workflows with built-in observability.
Runs in browser, edge, and serverless via WASM; integrates with any event-driven system.
Freemium with paid tiers
Features with the highest value for users are highlighted here.
Agentic workflow engine
Self-healing DAG-based execution
WASM-first deployment
LLM-native planning
Message-centric orchestration
Built-in observability
Runs in browser, edge, or serverless
Interpretable logic
DevOps engineers
AI researchers
Software developers
Product managers
Data engineers
Startups
Enterprise IT teams
Freelance developers
Edge computing specialists
Technical founders
Free
Pro
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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