How to Reduce AI Agent API Costs by 99% with Ambient Context (SignalMesh)

TL;DR: Every agent in your fleet is making redundant API calls to read context that hasn't changed. SignalMesh replaces those calls with a broadcast-once, tune-in-many pattern — cutting context read costs by 99.97% and latency from 800ms to 1.69µs. Live demo: https://kyklos.io | GitHub (MIT): https://github.com/Ig0tU/SignalMesh If you've built a pipeline with LangChain, CrewAI, AutoGen, or raw Python agents, you've hit this pattern: Agent A needs to know the current system state → tool call → 80