Built in public.
Shaped by builders.

Teams moving from graph orchestration usually care most about compliance guardrails, token visibility, and a durable audit chain that does not require custom glue code.

ModelRouter, CostCap, and context deduplication are designed for multi-agent workloads where repeated prompt and context costs quietly become the real production bill.

Sandbox mode lets teams validate workflow shape, handoffs, guardrails, and expected outputs before spending API budget or connecting production systems.

Security and compliance teams need more than traces. MeshFlow centers immutable execution records, PII handling, policy gates, and exportable evidence as first-class product surfaces.

When no-code flows hit conditional logic, branching, tests, or code review requirements, MeshFlow keeps workflows in Python while preserving production safety defaults.

The SKILL.md surface makes MeshFlow discoverable inside coding agents so developers can generate safer workflow scaffolds without memorizing project conventions.

Teams replacing exposed visual workflow servers need a path that preserves agent behavior while moving orchestration, auditability, and deployment controls into code.

Cost dashboards and per-workflow spend controls turn LLM usage from an engineering mystery into something finance, platform, and product teams can reason about together.

Production agent systems need resume, replay safety, idempotent steps, and visible failure points so a crashed workflow does not become a hidden business process failure.