HawkFlow.ai, The Data Scientist's Companion. Easily make monitoring part of your Model building process. - Automatically detect anomalies, trends, highs, lows, and movements - Track run times of training, imports, loading, queries and more A free, complete MLOps, Monitoring and AI Quality & Governance solution.
I think graph is a wrong abstraction for building AI agents. Just look at how incredibly hard it is to make routing using LangGraph - conditional edges are a mess. I built Laminar Flow to solve a common frustration with traditional workflow engines - the rigid need to predefine all node connections. Instead of static DAGs, Flow uses a dynamic task queue system that lets workflows evolve at runtime. Flow is built on 3 core principles: * Concurrent Execution - Tasks run in parallel automatically * Dynamic Scheduling - Tasks can schedule new tasks at runtime * Smart Dependencies - Tasks can…
