Framework Definition

Hybrid Cloud-Local Agent Architecture

Coined by Richard Ewing, AI Economist

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Definition

Hybrid Cloud-Local Agent Architecture is a dual-tier systems architecture codified in Google Antigravity ADR-0007. It divides autonomous developer agent workloads between local on-device neural runtimes (LiteRT executing Gemma 4 26B) and remote cloud frontier models (Gemini 3.8 Flash High). High-frequency, latency-critical operations like terminal monitoring, syntax checking, and diff formatting execute on local developer hardware at zero token cost and sub-50ms latency. Multi-step Euclidean reasoning, strategic planning, and security audits are dispatched to cloud frontier models, slashing cloud token expenses by over 80% while keeping proprietary code off remote networks.

Why It Matters

Relying purely on cloud APIs creates massive token bills and rate-limit latency; running purely locally lacks reasoning depth. A hybrid architecture combines zero-cost local agility with frontier intelligence.

How to Calculate

  1. 1Route syntax validation, file diffing, and terminal monitoring to local LiteRT runtimes
  2. 2Dispatch architectural synthesis and external multi-file planning to cloud frontier models
  3. 3Enforce deterministic terminal pre-commit compiler checks before merging worktree changes
  4. 4Benchmark developer iteration speed and monthly token consumption via Antigravity metrics

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Citation

To cite this definition:

Ewing, R. (2026). "Hybrid Cloud-Local Agent Architecture." richardewing.io.
https://www.richardewing.io/articles/frameworks/hybrid-cloud-local-runtime

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Richard Ewing: AI Economist & Capital Auditor