FlowGuard
Design and verify AI-agent workflows before code ships
FlowGuard launched on May 11, 2026 with 1 votes.
What it does
FlowGuard is an open-source model-first layer for AI-agent work. Before an agent writes code, redesigns UI, splits modules, trusts tests, or claims release confidence, it turns the risky slice into an executable workflow model. The model is used not only to catch bugs, but to derive the next structure: UI hierarchy, code ownership, refactor boundaries, validation gates, and evidence freshness.
Executable finite-state models for designing and checking AI-agent workflows, UI flows, and development processes - liuyingxuvka/FlowGuard
Does a similar job
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Flow by Laminar [LW24]2024 · github.com · ▲161Open-source dynamic task engine for building AI agents

Flow – A dynamic task engine for building AI agents2024 · github.com · ▲160I 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…
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